Publications by Guillermo Sapiro.

Papers Published

  1. Miller, AC; Futoma, J; Abbaspourazad, S; Heinze-Deml, C; Emrani, S; Shapiro, I; Sapiro, G, A wearable-based aging clock associates with disease and behavior., Nature communications, vol. 16 no. 1 (October, 2025), pp. 9264 [doi]  [abs].
  2. Isaev, DY; Major, S; Carpenter, KLH; Grapel, J; Chang, Z; Di Martino, M; Carlson, D; Dawson, G; Sapiro, G, Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli., Sci Rep, vol. 15 no. 1 (August, 2025), pp. 30963 [doi]  [abs].
  3. Erwin, S; Ahmed, T; Cloughesy, J; Citron, K; Joo, F; Monahan, E; Kim, YK; Straka, B; Bennett, G; Strauman, T; Gaither, S; Sapiro, G; Zucker, N, Peer support: Current status and future opportunities for college mental health promotion., J Am Coll Health (July, 2025), pp. 1-11 [doi]  [abs].
  4. Aikat, V; Carpenter, KLH; Babu, PRK; Di Martino, JM; Espinosa, S; Compton, S; Davis, N; Franz, L; Spanos, M; Sapiro, G; Dawson, G, Autism Digital Phenotyping in Preschool- and School-Age Children., Autism Res, vol. 18 no. 6 (June, 2025), pp. 1217-1233 [doi]  [abs].
  5. Xiong, J; Liu, G; Huang, L; Wu, C; Wu, T; Mu, Y; Yao, Y; Shen, H; Wan, Z; Huang, J; Tao, C; Yan, S; Yao, H; Kong, L; Yang, H; Zhang, M; Sapiro, G; Luo, J; Luo, P; Wong, N, Autoregressive Models in Vision: A Survey, Transactions on Machine Learning Research, vol. 2025-March (January, 2025)  [abs].
  6. Huang, L; Qiu, Q; Sapiro, G, SSOLE: RETHINKING ORTHOGONAL LOW-RANK EMBEDDING FOR SELF-SUPERVISED LEARNING, 13th International Conference on Learning Representations Iclr 2025 (January, 2025), pp. 100712-100734  [abs].
  7. Zhao, Y; Matías Di Martino, J; Farzam, A; Sapiro, G, FoldDiff: Folding in Point Cloud Diffusion, Transactions on Machine Learning Research, vol. August-2025 (January, 2025)  [abs].
  8. Wehenkel, A; Gamella, JL; Sener, O; Behrmann, J; Sapiro, G; Jacobsen, JH; Cuturi, M, Addressing Misspecification in Simulation-based Inference through Data-driven Calibration, Proceedings of Machine Learning Research, vol. 267 (January, 2025), pp. 65949-65980  [abs].
  9. Gianneschi, JR; Washington, KA; Nicholas, J; Pilato, I; LeMay-Russell, S; Rivera-Cancel, AM; Mines, EV; Jackson, JE; Marsan, S; Lachman, S; Kim, YK; Di Martino, JM; Pendergast, J; Loeb, KL; Katzman, DK; Marcus, MD; Bryant-Waugh, R; Sapiro, G; Zucker, NL, Assessing Fears of Negative Consequences in Children With Symptoms of Avoidant Restrictive Food Intake Disorder., Int J Eat Disord, vol. 57 no. 12 (December, 2024), pp. 2329-2340 [doi]  [abs].
  10. Aikat, V; Krishnappa Babu, PR; Carpenter, KLH; Di Martino, JM; Espinosa, S; Davis, N; Franz, L; Spanos, M; Dawson, G; Sapiro, G, Digital Phenotyping based on a Mobile App Identifies Distinct and Overlapping Features in Children Diagnosed with Autism versus ADHD, UIST Adjunct 2024 Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology (October, 2024) [doi]  [abs].
  11. Schlesinger, O; Kundu, R; Isaev, D; Choi, JY; Goetz, SM; Turner, DA; Sapiro, G; Peterchev, AV; Di Martino, JM, Scalp surface estimation and head registration using sparse sampling and 3D statistical models., Comput Biol Med, vol. 178 (August, 2024), pp. 108689 [doi]  [abs].
  12. Isaev, DY; Sabatos-DeVito, M; Di Martino, JM; Carpenter, K; Aiello, R; Compton, S; Davis, N; Franz, L; Sullivan, C; Dawson, G; Sapiro, G, Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report., J Autism Dev Disord, vol. 54 no. 6 (June, 2024), pp. 2286-2297 [doi]  [abs].
  13. Krishnappa Babu, PR; Di Martino, JM; Carpenter, KLH; Compton, S; Davis, N; Eichner, B; Espinosa, S; Franz, L; Perochon, S; Dawson, G; Sapiro, G, Large-scale Validation of a Scalable and Portable Behavioral Digital Screening Tool for Autism at Home, Conference on Human Factors in Computing Systems Proceedings (May, 2024) [doi]  [abs].
  14. Isaev, DY; Vlasova, RM; Di Martino, JM; Stephen, CD; Schmahmann, JD; Sapiro, G; Gupta, AS, Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria., Cerebellum (London, England), vol. 23 no. 2 (April, 2024), pp. 459-470 [doi]  [abs].
  15. Goldberg, CB; Adams, L; Blumenthal, D; Brennan, PF; Brown, N; Butte, AJ; Cheatham, M; deBronkart, D; Dixon, J; Drazen, J; Evans, BJ; Hoffman, SM; Holmes, C; Lee, P; Manrai, AK; Omenn, GS; Perlin, JB; Ramoni, R; Sapiro, G; Sarkar, R; Sood, H; Vayena, E; Kohane, IS; RAISE Consortium, To do no harm - and the most good - with AI in health care., Nature medicine, vol. 30 no. 3 (March, 2024), pp. 623-627 [doi] .
  16. Gil, NM; Bertran, M; Sapiro, G, Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers, Proceedings of Machine Learning Research, vol. 238 (January, 2024), pp. 2629-2637  [abs].
  17. Farzam, A; Tannenbaum, A; Sapiro, G, From Geometry to Causality-Ricci Curvature and the Reliability of Causal Inference on Networks, Proceedings of Machine Learning Research, vol. 235 (January, 2024), pp. 13086-13108  [abs].
  18. Huang, L; Qiu, Q; Sapiro, G, PQ-VAE: Learning Hierarchical Discrete Representations with Progressive Quantization, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (January, 2024), pp. 7550-7558 [doi]  [abs].
  19. Kim, YK; Matías Di Martino, J; Sapiro, G, Generalizing Neural Additive Models via Statistical Multimodal Analysis, Transactions on Machine Learning Research, vol. 2024 (January, 2024)  [abs].
  20. Franz, L; Viljoen, M; Askew, S; Brown, M; Dawson, G; Di Martino, JM; Sapiro, G; Sebolai, K; Seris, N; Shabalala, N; Stahmer, A; Turner, EL; de Vries, PJ, Autism Caregiver Coaching in Africa (ACACIA): Protocol for a type 1-hybrid effectiveness-implementation trial., PLoS One, vol. 19 no. 1 (2024), pp. e0291883 [doi]  [abs].
  21. Nazaret, A; Tonekaboni, S; Darnell, G; Ren, SY; Sapiro, G; Miller, AC, Modeling personalized heart rate response to exercise and environmental factors with wearables data, Npj Digital Medicine, vol. 6 no. 1 (December, 2023) [doi]  [abs].
  22. Perochon, S; Di Martino, JM; Carpenter, KLH; Compton, S; Davis, N; Eichner, B; Espinosa, S; Franz, L; Krishnappa Babu, PR; Sapiro, G; Dawson, G, Early detection of autism using digital behavioral phenotyping., Nat Med, vol. 29 no. 10 (October, 2023), pp. 2489-2497 [doi]  [abs].
  23. Schlesinger, O; Kundu, R; Goetz, S; Sapiro, G; Peterchev, AV; Di Martino, JM, Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors., Clin Image Based Proced Fairness AI Med Imaging Ethical Philos Issues Med Imaging (2023), vol. 14242 (October, 2023), pp. 12-20 [doi]  [abs].
  24. Nazaret, A; Sapiro, G, A large-scale observational study of the causal effects of a behavioral health nudge., Science advances, vol. 9 no. 38 (September, 2023), pp. eadi1752 [doi]  [abs].
  25. Chen, J; Engelhard, M; Henao, R; Berchuck, S; Eichner, B; Perrin, EM; Sapiro, G; Dawson, G, Enhancing early autism prediction based on electronic records using clinical narratives., J Biomed Inform, vol. 144 (August, 2023), pp. 104390 [doi]  [abs].
  26. Coffman, M; Di Martino, JM; Aiello, R; Carpenter, KLH; Chang, Z; Compton, S; Eichner, B; Espinosa, S; Flowers, J; Franz, L; Perochon, S; Krishnappa Babu, PR; Sapiro, G; Dawson, G, Relationship between quantitative digital behavioral features and clinical profiles in young autistic children., Autism Res, vol. 16 no. 7 (July, 2023), pp. 1360-1374 [doi]  [abs].
  27. Zhao, S; Crissman, CG; Sapiro, GR, Consistent Collaborative Filtering via Tensor Decomposition, Transactions on Machine Learning Research, vol. 2023 (July, 2023)  [abs].
  28. Krishnappa Babu, PR; Aikat, V; Di Martino, JM; Chang, Z; Perochon, S; Espinosa, S; Aiello, R; L H Carpenter, K; Compton, S; Davis, N; Eichner, B; Flowers, J; Franz, L; Dawson, G; Sapiro, G, Blink rate and facial orientation reveal distinctive patterns of attentional engagement in autistic toddlers: a digital phenotyping approach., Sci Rep, vol. 13 no. 1 (May, 2023), pp. 7158 [doi]  [abs].
  29. Perochon, S; Matias Di Martino, J; Carpenter, KLH; Compton, S; Davis, N; Espinosa, S; Franz, L; Rieder, AD; Sullivan, C; Sapiro, G; Dawson, G, A tablet-based game for the assessment of visual motor skills in autistic children., NPJ Digit Med, vol. 6 no. 1 (February, 2023), pp. 17 [doi]  [abs].
  30. Engelhard, MM; Henao, R; Berchuck, SI; Chen, J; Eichner, B; Herkert, D; Kollins, SH; Olson, A; Perrin, EM; Rogers, U; Sullivan, C; Zhu, Y; Sapiro, G; Dawson, G, Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year., JAMA Netw Open, vol. 6 no. 2 (February, 2023), pp. e2254303 [doi]  [abs].
  31. Krishnappa Babu, PR; Di Martino, JM; Chang, Z; Perochon, S; Aiello, R; Carpenter, KLH; Compton, S; Davis, N; Franz, L; Espinosa, S; Flowers, J; Dawson, G; Sapiro, G, Complexity analysis of head movements in autistic toddlers., J Child Psychol Psychiatry, vol. 64 no. 1 (January, 2023), pp. 156-166 [doi]  [abs].
  32. Solomon, O; Patriat, R; Braun, H; Palnitkar, TE; Moeller, S; Auerbach, EJ; Ugurbil, K; Sapiro, G; Harel, N, Motion robust magnetic resonance imaging via efficient Fourier aggregation., Medical image analysis, vol. 83 (January, 2023), pp. 102638 [doi]  [abs].
  33. Wehenkel, A; Behrmann, J; Hsu, H; Sapiro, G; Louppe, G; Jacobsen, JH, Robust Hybrid Learning With Expert Augmentation, Transactions on Machine Learning Research, vol. 2023-February (January, 2023)  [abs].
  34. Babu, PRK; Di Martino, JM; Chang, Z; Perochon, S; Carpenter, KLH; Compton, S; Espinosa, S; Dawson, G; Sapiro, G, Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder., IEEE Trans Affect Comput, vol. 14 no. 2 (2023), pp. 919-930 [doi]  [abs].
  35. Major, S; Isaev, D; Grapel, J; Calnan, T; Tenenbaum, E; Carpenter, K; Franz, L; Howard, J; Vermeer, S; Sapiro, G; Murias, M; Dawson, G, Shorter average look durations to dynamic social stimuli are associated with higher levels of autism symptoms in young autistic children., Autism, vol. 26 no. 6 (August, 2022), pp. 1451-1459 [doi]  [abs].
  36. Papadaki, A; Martinez, N; Bertran, M; Sapiro, G; Rodrigues, M, Minimax Demographic Group Fairness in Federated Learning, ACM International Conference Proceeding Series (June, 2022), pp. 142-159 [doi]  [abs].
  37. Chaudhary, UN; Kelly, CN; Wesorick, BR; Reese, CM; Gall, K; Adams, SB; Sapiro, G; Di Martino, JM, Computational and image processing methods for analysis and automation of anatomical alignment and joint spacing in reconstructive surgery., Int J Comput Assist Radiol Surg, vol. 17 no. 3 (March, 2022), pp. 541-551 [doi]  [abs].
  38. Kim, YK; Di Martino, JM; Nicholas, J; Rivera-Cancel, A; Wildes, JE; Marcus, MD; Sapiro, G; Zucker, N, Parent strategies for expanding food variety: Reflections of 19,239 adults with symptoms of Avoidant/Restrictive Food Intake Disorder., Int J Eat Disord, vol. 55 no. 1 (January, 2022), pp. 108-119 [doi]  [abs].
  39. Azami, H; Chang, Z; Arnold, SE; Sapiro, G; Gupta, AS, Detection of Oculomotor Dysmetria From Mobile Phone Video of the Horizontal Saccades Task Using Signal Processing and Machine Learning Approaches., IEEE access : practical innovations, open solutions, vol. 10 (January, 2022), pp. 34022-34031 [doi]  [abs].
  40. Zhu, W; Qiu, Q; Calderbank, R; Sapiro, G; Cheng, X, Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters, Journal of Machine Learning Research, vol. 23 (January, 2022)  [abs].
  41. Skerrett, E; Miao, Z; Asiedu, MN; Richards, M; Crouch, B; Sapiro, G; Qiu, Q; Ramanujam, N, Multicontrast Pocket Colposcopy Cervical Cancer Diagnostic Algorithm for Referral Populations., BME frontiers, vol. 2022 (January, 2022), pp. 9823184 [doi]  [abs].
  42. Simhal, AK; Carpenter, KLH; Kurtzberg, J; Song, A; Tannenbaum, A; Zhang, L; Sapiro, G; Dawson, G, Changes in the geometry and robustness of diffusion tensor imaging networks: Secondary analysis from a randomized controlled trial of young autistic children receiving an umbilical cord blood infusion., Front Psychiatry, vol. 13 (2022), pp. 1026279 [doi]  [abs].
  43. Perochon, S; Di Martino, M; Aiello, R; Baker, J; Carpenter, K; Chang, Z; Compton, S; Davis, N; Eichner, B; Espinosa, S; Flowers, J; Franz, L; Gagliano, M; Harris, A; Howard, J; Kollins, SH; Perrin, EM; Raj, P; Spanos, M; Walter, B; Sapiro, G; Dawson, G, A scalable computational approach to assessing response to name in toddlers with autism., J Child Psychol Psychiatry, vol. 62 no. 9 (September, 2021), pp. 1120-1131 [doi]  [abs].
  44. Chang, Z; Di Martino, JM; Aiello, R; Baker, J; Carpenter, K; Compton, S; Davis, N; Eichner, B; Espinosa, S; Flowers, J; Franz, L; Harris, A; Howard, J; Perochon, S; Perrin, EM; Krishnappa Babu, PR; Spanos, M; Sullivan, C; Walter, BK; Kollins, SH; Dawson, G; Sapiro, G, Computational Methods to Measure Patterns of Gaze in Toddlers With Autism Spectrum Disorder., JAMA Pediatr, vol. 175 no. 8 (August, 2021), pp. 827-836 [doi]  [abs].
  45. Emani, PS; Warrell, J; Anticevic, A; Bekiranov, S; Gandal, M; McConnell, MJ; Sapiro, G; Aspuru-Guzik, A; Baker, JT; Bastiani, M; Murray, JD; Sotiropoulos, SN; Taylor, J; Senthil, G; Lehner, T; Gerstein, MB; Harrow, AW, Quantum computing at the frontiers of biological sciences., Nature methods, vol. 18 no. 7 (July, 2021), pp. 701-709 [doi] .
  46. Solomon, O; Palnitkar, T; Patriat, R; Braun, H; Aman, J; Park, MC; Vitek, J; Sapiro, G; Harel, N, Deep-learning based fully automatic segmentation of the globus pallidus interna and externa using ultra-high 7 Tesla MRI., Human brain mapping, vol. 42 no. 9 (June, 2021), pp. 2862-2879 [doi]  [abs].
  47. Dong, H; Wang, Z; Qiu, Q; Sapiro, G, Using text to teach image retrieval, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (June, 2021), pp. 1643-1652 [doi]  [abs].
  48. Carpenter, KLH; Hahemi, J; Campbell, K; Lippmann, SJ; Baker, JP; Egger, HL; Espinosa, S; Vermeer, S; Sapiro, G; Dawson, G, Digital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism., Autism Res, vol. 14 no. 3 (March, 2021), pp. 488-499 [doi]  [abs].
  49. Di Martino, JM; Qiu, Q; Sapiro, G, Rethinking Shape From Shading for Spoofing Detection., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 30 (January, 2021), pp. 1086-1099 [doi]  [abs].
  50. Achddou, R; Di Martino, JM; Sapiro, G, Nested learning for multi-level classification, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, vol. 2021-June (January, 2021), pp. 2815-2819 [doi]  [abs].
  51. Wang, Z; Ding, S; Li, Y; Fenn, J; Roychowdhury, S; Wallin, A; Martin, L; Ryvola, S; Sapiro, G; Qiu, Q, Cirrus: A Long-range Bi-pattern LiDAR Dataset, Proceedings IEEE International Conference on Robotics and Automation, vol. 2021-May (January, 2021), pp. 5744-5750 [doi]  [abs].
  52. Martinez, N; Bertran, M; Papadaki, A; Rodrigues, M; Sapiro, G, Blind Pareto Fairness and Subgroup Robustness, Proceedings of Machine Learning Research, vol. 139 (January, 2021), pp. 7492-7501  [abs].
  53. Hashemi, J; Dawson, G; Carpenter, KLH; Campbell, K; Qiu, Q; Espinosa, S; Marsan, S; Baker, JP; Egger, HL; Sapiro, G, Computer Vision Analysis for Quantification of Autism Risk Behaviors., IEEE Trans Affect Comput, vol. 12 no. 1 (2021), pp. 215-226, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  54. Bovery, M; Dawson, G; Hashemi, J; Sapiro, G, A Scalable Off-the-Shelf Framework for Measuring Patterns of Attention in Young Children and its Application in Autism Spectrum Disorder., IEEE Trans Affect Comput, vol. 12 no. 3 (2021), pp. 722-731, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  55. Major, S; Campbell, K; Espinosa, S; Baker, JP; Carpenter, KL; Sapiro, G; Vermeer, S; Dawson, G, Impact of a digital Modified Checklist for Autism in Toddlers-Revised on likelihood and age of autism diagnosis and referral for developmental evaluation., Autism, vol. 24 no. 7 (October, 2020), pp. 1629-1638 [doi]  [abs].
  56. Chang, Z; Chen, Z; Stephen, CD; Schmahmann, JD; Wu, H-T; Sapiro, G; Gupta, AS, Accurate detection of cerebellar smooth pursuit eye movement abnormalities via mobile phone video and machine learning., Scientific reports, vol. 10 no. 1 (October, 2020), pp. 18641 [doi]  [abs].
  57. Tenenbaum, EJ; Carpenter, KLH; Sabatos-DeVito, M; Hashemi, J; Vermeer, S; Sapiro, G; Dawson, G, A Six-Minute Measure of Vocalizations in Toddlers with Autism Spectrum Disorder., Autism Res, vol. 13 no. 8 (August, 2020), pp. 1373-1382 [doi]  [abs].
  58. Isaev, DY; Tchapyjnikov, D; Cotten, CM; Tanaka, D; Martinez, N; Bertran, M; Sapiro, G; Carlson, D, Attention-Based Network for Weak Labels in Neonatal Seizure Detection., Proc Mach Learn Res, vol. 126 (August, 2020), pp. 479-507  [abs].
  59. Simhal, AK; Carpenter, KLH; Nadeem, S; Kurtzberg, J; Song, A; Tannenbaum, A; Sapiro, G; Dawson, G, Measuring robustness of brain networks in autism spectrum disorder with Ricci curvature., Sci Rep, vol. 10 no. 1 (July, 2020), pp. 10819 [doi]  [abs].
  60. Martino, JMD; Suzacq, F; Delbracio, M; Qiu, Q; Sapiro, G, Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method., IEEE transactions on pattern analysis and machine intelligence, vol. 42 no. 7 (July, 2020), pp. 1582-1593 [doi]  [abs].
  61. Asiedu, MN; Skerrett, E; Sapiro, G; Ramanujam, N, Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcope., Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2020 (July, 2020), pp. 1148-1151 [doi]  [abs].
  62. Martinez, N; Bertran, M; Sapiro, G, Minimax Pareto Fairness: A Multi Objective Perspective., Proceedings of machine learning research, vol. 119 (July, 2020), pp. 6755-6764 [doi]  [abs].
  63. Isaev, DY; Major, S; Murias, M; Carpenter, KLH; Carlson, D; Sapiro, G; Dawson, G, Relative Average Look Duration and its Association with Neurophysiological Activity in Young Children with Autism Spectrum Disorder., Sci Rep, vol. 10 no. 1 (February, 2020), pp. 1912 [doi]  [abs].
  64. Dawson, G; Campbell, K; Hashemi, J; Lippmann, SJ; Smith, V; Carpenter, K; Egger, H; Espinosa, S; Vermeer, S; Baker, J; Sapiro, G, Author Correction: Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder., Sci Rep, vol. 10 no. 1 (January, 2020), pp. 616 [doi]  [abs].
  65. Giryes, R; Sapiro, G; Bronstein, AM, Corrections to “Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?” [Jul 1, 2016 3444-3457], IEEE Transactions on Signal Processing, vol. 68 (January, 2020), pp. 529-531 [doi]  [abs].
  66. Cohen, G; Sapiro, G; Giryes, R, Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (January, 2020), pp. 14441-14450 [doi]  [abs].
  67. Martinez, N; Bertran, M; Sapiro, G, Minimax pareto fairness: A multi objective perspective, 37th International Conference on Machine Learning Icml 2020, vol. PartF168147-9 (January, 2020), pp. 6711-6720  [abs].
  68. Wang, Z; Cheng, X; Sapiro, G; Qiu, Q, A dictionary approach to domain-invariant learning in deep networks, Advances in Neural Information Processing Systems, vol. 2020-December (January, 2020)  [abs].
  69. Bertran, M; Martinezf, N; Phielipp, M; Sapiro, G, Instance-based generalization in reinforcement learning, Advances in Neural Information Processing Systems, vol. 2020-December (January, 2020)  [abs].
  70. Wang, Z; Cheng, X; Sapiro, G; Qiu, Q, STOCHASTIC CONDITIONAL GENERATIVE NETWORKS WITH BASIS DECOMPOSITION, 8th International Conference on Learning Representations Iclr 2020 (January, 2020)  [abs].
  71. Wang, Z; DIng, S; Li, Y; Zhao, M; Roychowdhury, S; Wallin, A; Sapiro, G; Qiu, Q, Range adaptation for 3d object detection in LiDAR, Proceedings 2019 International Conference on Computer Vision Workshop Iccvw 2019 (October, 2019), pp. 2320-2328 [doi]  [abs].
  72. Chang, Z; DI Martino, JM; Qiu, Q; Espinosa, S; Sapiro, G, Salgaze: Personalizing gaze estimation using visual saliency, Proceedings 2019 International Conference on Computer Vision Workshop Iccvw 2019 (October, 2019), pp. 1169-1178 [doi]  [abs].
  73. Simhal, AK; Zuo, Y; Perez, MM; Madison, DV; Sapiro, G; Micheva, KD, Multifaceted Changes in Synaptic Composition and Astrocytic Involvement in a Mouse Model of Fragile X Syndrome., Scientific reports, vol. 9 no. 1 (September, 2019), pp. 13855 [doi]  [abs].
  74. Martinez, N; Bertran, M; Sapiro, G; Wu, HT, Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video, Proceedings International Conference on Image Processing Icip, vol. 2019-September (September, 2019), pp. 2020-2024 [doi]  [abs].
  75. Asiedu, MN; Simhal, A; Chaudhary, U; Mueller, JL; Lam, CT; Schmitt, JW; Venegas, G; Sapiro, G; Ramanujam, N, Development of Algorithms for Automated Detection of Cervical Pre-Cancers With a Low-Cost, Point-of-Care, Pocket Colposcope., IEEE Trans Biomed Eng, vol. 66 no. 8 (August, 2019), pp. 2306-2318, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  76. Cheng, X; Qiu, Q; Calderbank, R; Sapiro, G, RotDCF: Decomposition of convolutional filters for rotation-equivariant deep networks (May, 2019)  [abs].
  77. Dawson, G; Sapiro, G, Potential for Digital Behavioral Measurement Tools to Transform the Detection and Diagnosis of Autism Spectrum Disorder., JAMA Pediatr, vol. 173 no. 4 (April, 2019), pp. 305-306 [doi] .
  78. Campbell, K; Carpenter, KL; Hashemi, J; Espinosa, S; Marsan, S; Borg, JS; Chang, Z; Qiu, Q; Vermeer, S; Adler, E; Tepper, M; Egger, HL; Baker, JP; Sapiro, G; Dawson, G, Computer vision analysis captures atypical attention in toddlers with autism., Autism, vol. 23 no. 3 (April, 2019), pp. 619-628 [doi]  [abs].
  79. Shamir, RR; Duchin, Y; Kim, J; Patriat, R; Marmor, O; Bergman, H; Vitek, JL; Sapiro, G; Bick, A; Eliahou, R; Eitan, R; Israel, Z; Harel, N, Microelectrode Recordings Validate the Clinical Visualization of Subthalamic-Nucleus Based on 7T Magnetic Resonance Imaging and Machine Learning for Deep Brain Stimulation Surgery., Neurosurgery, vol. 84 no. 3 (March, 2019), pp. 749-757 [doi]  [abs].
  80. Sapiro, G; Hashemi, J; Dawson, G, Computer vision and behavioral phenotyping: an autism case study., Curr Opin Biomed Eng, vol. 9 (March, 2019), pp. 14-20 [doi]  [abs].
  81. Kim, J; Duchin, Y; Shamir, RR; Patriat, R; Vitek, J; Harel, N; Sapiro, G, Automatic localization of the subthalamic nucleus on patient-specific clinical MRI by incorporating 7 T MRI and machine learning: Application in deep brain stimulation., Human brain mapping, vol. 40 no. 2 (February, 2019), pp. 679-698 [doi]  [abs].
  82. Azami, H; Arnold, SE; Sanei, S; Chang, Z; Sapiro, G; Escudero, J; Gupta, AS, Multiscale fluctuation-based dispersion entropy and its applications to neurological diseases, IEEE Access, vol. 7 (January, 2019), pp. 68718-68733 [doi]  [abs].
  83. Cheng, X; Qiu, Q; Calderbank, R; Sapiro, G, RoTDCF: Decomposition of convolutional filters for rotation-equivariant deep networks, 7th International Conference on Learning Representations, ICLR 2019 (January, 2019)  [abs].
  84. Fellous, J-M; Sapiro, G; Rossi, A; Mayberg, H; Ferrante, M, Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation., Frontiers in neuroscience, vol. 13 (January, 2019), pp. 1346 [doi]  [abs].
  85. Bertran, M; Martinez, N; Papadaki, A; Qiu, Q; Rodrigues, M; Reeves, G; Sapiro, G, Adversarially learned representations for information obfuscation and inference, 36th International Conference on Machine Learning Icml 2019, vol. 2019-June (January, 2019), pp. 960-974  [abs].
  86. Zhu, W; Qiu, Q; Wang, B; Lu, J; Sapiro, G; Daubechies, I, Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning, SIAM Journal on Mathematics of Data Science, vol. 1 no. 3 (January, 2019), pp. 476-496 [doi]  [abs].
  87. Bertran, M; Martinez, N; Papadaki, A; Qiu, Q; Rodrigues, M; Reeves, G; Sapiro, G, Adversarially Learned Representations for Information Obfuscation and Inference, Proceedings of Machine Learning Research, vol. 97 (January, 2019), pp. 614-623  [abs].
  88. Zhu, W; Qiu, Q; Huang, J; Calderbank, R; Sapiro, G; Daubechies, I, LDMNet: Low Dimensional Manifold Regularized Neural Networks, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (December, 2018), pp. 2743-2751 [doi]  [abs].
  89. Lezama, J; Qiu, Q; Musé, P; Sapiro, G, OLE: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (December, 2018), pp. 8109-8118 [doi]  [abs].
  90. Dawson, G; Campbell, K; Hashemi, J; Lippmann, SJ; Smith, V; Carpenter, K; Egger, H; Espinosa, S; Vermeer, S; Baker, J; Sapiro, G, Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder., Sci Rep, vol. 8 no. 1 (November, 2018), pp. 17008 [doi]  [abs].
  91. Aguerrebere, C; Delbracio, M; Bartesaghi, A; Sapiro, G, A Practical Guide to Multi-Image Alignment, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, vol. 2018-April (September, 2018), pp. 1927-1931, IEEE [doi]  [abs].
  92. Ahn, HK; Qiu, Q; Bosch, E; Thompson, A; Robles, FE; Sapiro, G; Warren, WS; Calderbank, R, Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, vol. 2018-April (September, 2018), pp. 4209-4213, IEEE [doi]  [abs].
  93. Giryes, R; Eldar, YC; Bronstein, AM; Sapiro, G, The Learned Inexact Project Gradient Descent Algorithm, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, vol. 2018-April (September, 2018), pp. 6767-6771, IEEE [doi]  [abs].
  94. Bartesaghi, A; Aguerrebere, C; Falconieri, V; Banerjee, S; Earl, LA; Zhu, X; Grigorieff, N; Milne, JLS; Sapiro, G; Wu, X; Subramaniam, S, Atomic Resolution Cryo-EM Structure of β-Galactosidase., Structure (London, England : 1993), vol. 26 no. 6 (June, 2018), pp. 848-856.e3 [doi]  [abs].
  95. Giryes, R; Eldar, YC; Bronstein, AM; Sapiro, G, Tradeoffs between convergence speed and reconstruction accuracy in inverse problems, IEEE Transactions on Signal Processing, vol. 66 no. 7 (April, 2018), pp. 1676-1690, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  96. Vu, M-AT; Adalı, T; Ba, D; Buzsáki, G; Carlson, D; Heller, K; Liston, C; Rudin, C; Sohal, VS; Widge, AS; Mayberg, HS; Sapiro, G; Dzirasa, K, A Shared Vision for Machine Learning in Neuroscience., J Neurosci, vol. 38 no. 7 (February, 2018), pp. 1601-1607, Society for Neuroscience [doi]  [abs].
  97. Pisharady, PK; Sotiropoulos, SN; Duarte-Carvajalino, JM; Sapiro, G; Lenglet, C, Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning., NeuroImage, vol. 167 (February, 2018), pp. 488-503 [doi]  [abs].
  98. Qiu, Q; Hashemi, J; Sapiro, G, Intelligent synthesis driven model calibration: framework and face recognition application, Proceedings 2017 IEEE International Conference on Computer Vision Workshops Iccvw 2017, vol. 2018-January (January, 2018), pp. 2564-2572, IEEE [doi]  [abs].
  99. Sokolić, J; Qiu, Q; Rodrigues, MRD; Sapiro, G, Learning to identify while failing to discriminate, Proceedings 2017 IEEE International Conference on Computer Vision Workshops Iccvw 2017, vol. 2018-January (January, 2018), pp. 2537-2544, IEEE [doi]  [abs].
  100. Asiedu, MN; Simhal, A; Lam, CT; Mueller, J; Chaudhary, U; Schmitt, JW; Sapiro, G; Ramanujam, N, Image processing and machine learning techniques to automate diagnosis of Lugol's iodine cervigrams for a low-cost point-of-care digital colposcope, Progress in Biomedical Optics and Imaging Proceedings of SPIE, vol. 10485 (January, 2018), SPIE [doi]  [abs].
  101. Bertrán, MA; Martínez, NL; Wang, Y; Dunson, D; Sapiro, G; Ringach, D, Active learning of cortical connectivity from two-photon imaging data., PloS one, vol. 13 no. 5 (January, 2018), pp. e0196527 [doi]  [abs].
  102. Duchin, Y; Shamir, RR; Patriat, R; Kim, J; Vitek, JL; Sapiro, G; Harel, N, Patient-specific anatomical model for deep brain stimulation based on 7 Tesla MRI., PloS one, vol. 13 no. 8 (January, 2018), pp. e0201469 [doi]  [abs].
  103. Simhal, AK; Gong, B; Trimmer, JS; Weinberg, RJ; Smith, SJ; Sapiro, G; Micheva, KD, A Computational Synaptic Antibody Characterization Tool for Array Tomography., Frontiers in neuroanatomy, vol. 12 (January, 2018), pp. 51 [doi]  [abs].
  104. Qiu, Q; Lezama, J; Bronstein, A; Sapiro, G, ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 11206 LNCS (January, 2018), pp. 442-459, Springer International Publishing [doi]  [abs].
  105. Qiu, Q; Cheng, X; Calderbank, R; Sapiro, G, DCFNet: Deep Neural Network with Decomposed Convolutional Filters, 35th International Conference on Machine Learning Icml 2018, vol. 9 (January, 2018), pp. 6687-6696  [abs].
  106. Qiu, Q; Cheng, X; Calderbank, R; Sapiro, G, DCFNet: Deep Neural Network with Decomposed Convolutional Filters, Proceedings of Machine Learning Research, vol. 80 (January, 2018), pp. 4198-4207  [abs].
  107. Chiew, KS; Hashemi, J; Gans, LK; Lerebours, L; Clement, NJ; Vu, M-AT; Sapiro, G; Heller, NE; Adcock, RA, Motivational valence alters memory formation without altering exploration of a real-life spatial environment., PLoS One, vol. 13 no. 3 (2018), pp. e0193506 [doi]  [abs].
  108. Egger, HL; Dawson, G; Hashemi, J; Carpenter, KLH; Espinosa, S; Campbell, K; Brotkin, S; Schaich-Borg, J; Qiu, Q; Tepper, M; Baker, JP; Bloomfield, RA; Sapiro, G, Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study., NPJ Digit Med, vol. 1 (2018), pp. 20 [doi]  [abs].
  109. Lezama, J; Qiu, Q; Sapiro, G, Not afraid of the dark: NIR-VIS face recognition via cross-spectral hallucination and low-rank embedding, Proceedings 30th IEEE Conference on Computer Vision and Pattern Recognition Cvpr 2017, vol. 2017-January (November, 2017), pp. 6807-6816, IEEE [doi]  [abs].
  110. Ye, Q; Zhang, T; Ke, W; Qiu, Q; Chen, J; Sapiro, G; Zhang, B, Self-learning scene-specific pedestrian detectors using a progressive latent model, Proceedings 30th IEEE Conference on Computer Vision and Pattern Recognition Cvpr 2017, vol. 2017-January (November, 2017), pp. 2057-2066, IEEE [doi]  [abs].
  111. Su, S; Delbracio, M; Wang, J; Sapiro, G; Heidrich, W; Wang, O, Deep video deblurring for hand-held cameras, Proceedings 30th IEEE Conference on Computer Vision and Pattern Recognition Cvpr 2017, vol. 2017-January (November, 2017), pp. 237-246, IEEE [doi]  [abs].
  112. Tepper, M; Sapiro, G, Nonnegative matrix underapproximation for robust multiple model fitting, Proceedings 30th IEEE Conference on Computer Vision and Pattern Recognition Cvpr 2017, vol. 2017-January (November, 2017), pp. 655-663, IEEE [doi]  [abs].
  113. Pisharady, PK; Sotiropoulos, SN; Sapiro, G; Lenglet, C, A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI., Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, vol. 10433 (September, 2017), pp. 602-610 [doi]  [abs].
  114. Sokolić, J; Giryes, R; Sapiro, G; Rodrigues, MRD, Generalization error of deep neural networks: Role of classification margin and data structure, 2017 12th International Conference on Sampling Theory and Applications Sampta 2017 (September, 2017), pp. 147-151, IEEE [doi]  [abs].
  115. Sokolić, J; Giryes, R; Sapiro, G; Rodrigues, MRD, Robust Large Margin Deep Neural Networks, IEEE Transactions on Signal Processing, vol. 65 no. 16 (August, 2017), pp. 4265-4280, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  116. Campbell, K; Carpenter, KLH; Espinosa, S; Hashemi, J; Qiu, Q; Tepper, M; Calderbank, R; Sapiro, G; Egger, HL; Baker, JP; Dawson, G, Use of a Digital Modified Checklist for Autism in Toddlers - Revised with Follow-up to Improve Quality of Screening for Autism., J Pediatr, vol. 183 (April, 2017), pp. 133-139.e1 [doi]  [abs].
  117. Simhal, AK; Aguerrebere, C; Collman, F; Vogelstein, JT; Micheva, KD; Weinberg, RJ; Smith, SJ; Sapiro, G, Probabilistic fluorescence-based synapse detection., PLoS computational biology, vol. 13 no. 4 (April, 2017), pp. e1005493 [doi]  [abs].
  118. Chen, J; Chang, Z; Qiu, Q; Li, X; Sapiro, G; Bronstein, A; Pietikäinen, M, RealSense = real heart rate: Illumination invariant heart rate estimation from videos, 2016 6th International Conference on Image Processing Theory Tools and Applications Ipta 2016 (January, 2017), IEEE [doi]  [abs].
  119. Gunalan, K; Chaturvedi, A; Howell, B; Duchin, Y; Lempka, SF; Patriat, R; Sapiro, G; Harel, N; McIntyre, CC, Creating and parameterizing patient-specific deep brain stimulation pathway-activation models using the hyperdirect pathway as an example., PloS one, vol. 12 no. 4 (January, 2017), pp. e0176132 [doi]  [abs].
  120. Sokolić, J; Giryes, R; Sapiro, G; Rodrigues, MRD, Generalization error of invariant classifiers, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017 (January, 2017)  [abs].
  121. Sokolić, J; Giryes, R; Sapiro, G; Rodrigues, MRD, Generalization error of invariant classifiers, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics Aistats 2017, vol. 54 (January, 2017)  [abs].
  122. Lezama, J; Mukherjee, D; McNabb, RP; Sapiro, G; Kuo, AN; Farsiu, S, Segmentation guided registration of wide field-of-view retinal optical coherence tomography volumes., Biomed Opt Express, vol. 7 no. 12 (December, 2016), pp. 4827-4846 [doi]  [abs].
  123. Aguerrebere, C; Delbracio, M; Bartesaghi, A; Sapiro, G, Fundamental limits in multi-image alignment, IEEE Transactions on Signal Processing, vol. 64 no. 21 (November, 2016), pp. 5707-5722, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  124. Elhamifar, E; Sapiro, G; Sastry, SS, Dissimilarity-Based Sparse Subset Selection., IEEE transactions on pattern analysis and machine intelligence, vol. 38 no. 11 (November, 2016), pp. 2182-2197 [doi]  [abs].
  125. Fiori, M; Muse, P; Tepper, M; Sapiro, G, Tell me where you are and i tell you where you are going: Estimation of dynamic mobility graphs, Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, vol. 2016-September (September, 2016), IEEE [doi]  [abs].
  126. Giryes, R; Sapiro, G; Bronstein, AM, Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?, IEEE Transactions on Signal Processing, vol. 64 no. 13 (July, 2016), pp. 3444-3457, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  127. Tepper, M; Sapiro, G, A short-graph fourier transform via personalized pagerank vectors, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, vol. 2016-May (May, 2016), pp. 4806-4810, IEEE [doi]  [abs].
  128. Tepper, M; Sapiro, G, Compressed Nonnegative Matrix Factorization Is Fast and Accurate, IEEE Transactions on Signal Processing, vol. 64 no. 9 (May, 2016), pp. 2269-2283, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  129. Qiu, Q; Thompson, A; Calderbank, R; Sapiro, G, Data Representation Using the Weyl Transform, IEEE Transactions on Signal Processing, vol. 64 no. 7 (April, 2016), pp. 1844-1853, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  130. Chang, Z; Qiu, Q; Sapiro, G, Synthesis-based low-cost gaze analysis, Communications in Computer and Information Science, vol. 618 (January, 2016), pp. 95-100, Springer International Publishing [doi]  [abs].
  131. Lyzinski, V; Fishkind, DE; Fiori, M; Vogelstein, JT; Priebe, CE; Sapiro, G, Graph Matching: Relax at Your Own Risk., IEEE transactions on pattern analysis and machine intelligence, vol. 38 no. 1 (January, 2016), pp. 60-73 [doi]  [abs].
  132. Carpenter, KLH; Sprechmann, P; Calderbank, R; Sapiro, G; Egger, HL, Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach., PLoS One, vol. 11 no. 11 (2016), pp. e0165524 [doi]  [abs].
  133. Kim, J; Duchin, Y; Sapiro, G; Vitek, J; Harel, N, Clinical deep brain stimulation region prediction using regression forests from high-field MRI, Proceedings International Conference on Image Processing Icip, vol. 2015-December (December, 2015), pp. 2480-2484, IEEE [doi]  [abs].
  134. Tepper, M; Newson, A; Sprechmann, P; Sapiro, G, Multi-temporal foreground detection in videos, Proceedings International Conference on Image Processing Icip, vol. 2015-December (December, 2015), pp. 4599-4603 [doi]  [abs].
  135. Hashemi, J; Qiu, Q; Sapiro, G, Cross-modality pose-invariant facial expression, Proceedings International Conference on Image Processing Icip, vol. 2015-December (December, 2015), pp. 4007-4011, IEEE [doi]  [abs].
  136. Delbracio, M; Sapiro, G, Hand-Held Video Deblurring Via Efficient Fourier Aggregation, IEEE Transactions on Computational Imaging, vol. 1 no. 4 (December, 2015), pp. 270-283 [doi]  [abs].
  137. Delbracio, M; Sapiro, G, Removing Camera Shake via Weighted Fourier Burst Accumulation., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 24 no. 11 (November, 2015), pp. 3293-3307, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  138. Delbracio, M; Sapiro, G, Burst deblurring: Removing camera shake through fourier burst accumulation, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 07-12-June-2015 (October, 2015), pp. 2385-2393, IEEE [doi]  [abs].
  139. Sprechmann, P; Bronstein, AM; Sapiro, G, Learning Efficient Sparse and Low Rank Models., IEEE transactions on pattern analysis and machine intelligence, vol. 37 no. 9 (September, 2015), pp. 1821-1833 [1212.3631v1], [doi]  [abs].
  140. Huang, J; Qiu, Q; Calderbank, R; Rodrigues, M; Sapiro, G, Alignment with intra-class structure can improve classification, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, vol. 2015-August (August, 2015), pp. 1921-1925, IEEE [doi]  [abs].
  141. Kim, J; Duchin, Y; Sapiro, G; Vitek, J; Harel, N, Clinical subthalamic nucleus prediction from high-field brain MRI, Proceedings International Symposium on Biomedical Imaging, vol. 2015-July (July, 2015), pp. 1264-1267, IEEE [doi]  [abs].
  142. Lucas, JE; Sapiro, G, Cancer: What's luck got to do with it?, Significance, vol. 12 no. 2 (April, 2015), pp. 40-42, WILEY [doi]  [abs].
  143. Fiori, M; Sapiro, G, On spectral properties for graph matching and graph isomorphism problems, Information and Inference, vol. 4 no. 1 (March, 2015), pp. 63-76 [doi]  [abs].
  144. Huang, J; Qiu, Q; Calderbank, R; Sapiro, G, Geometry-aware deep transform, Proceedings of the IEEE International Conference on Computer Vision, vol. 2015 International Conference on Compute (February, 2015), pp. 4139-4147, IEEE [doi]  [abs].
  145. Qiu, Q; Sapiro, G, Learning transformations for clustering and classification, Journal of Machine Learning Research, vol. 16 (February, 2015), pp. 187-225 [1309.2074v2]  [abs].
  146. Yang, J; Liao, X; Yuan, X; Llull, P; Brady, DJ; Sapiro, G; Carin, L, Compressive sensing by learning a Gaussian mixture model from measurements., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 24 no. 1 (January, 2015), pp. 106-119 [doi]  [abs].
  147. Kim, J; Duchin, Y; Kim, H; Vitek, J; Harel, N; Sapiro, G, Robust prediction of clinical deep brain stimulation target structures via the estimation of influential high-field MR atlases, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 9350 (January, 2015), pp. 587-594, Springer International Publishing [doi]  [abs].
  148. Huang, J; Qiu, Q; Sapiro, G; Calderbank, R, Discriminative robust transformation learning, Advances in Neural Information Processing Systems, vol. 2015-January (January, 2015), pp. 1333-1341  [abs].
  149. Tepper, M; Sapiro, G, From local to global communities in large networks through consensus, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 9423 (January, 2015), pp. 659-666, Springer International Publishing [doi]  [abs].
  150. Llull, P; Yuan, X; Liao, X; Yang, J; Kittle, D; Carin, L; Sapiro, G; Brady, DJ, Temporal compressive sensing for video no. 9783319160412 (January, 2015), pp. 41-74, Springer International Publishing [doi]  [abs].
  151. Qiu, Q; Sapiro, G; Bronstein, A, Random forests can hash, 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings (January, 2015)  [abs].
  152. Qiu, Q; Thompson, A; Calderbank, R; Sapiro, G, Data representation using the Weyl transform, 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings (January, 2015)  [abs].
  153. Giryes, R; Sapiro, G; Bronstein, AM, On the stability of deep networks, 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings (January, 2015)  [abs].
  154. Qiu, Q; Thompson, A; Calderbank, R; Sapiro, G, Data representation using the Weyl transform, 3rd International Conference on Learning Representations Iclr 2015 Workshop Track Proceedings (January, 2015)  [abs].
  155. Qiu, Q; Sapiro, G; Bronstein, A, Random forests can hash, 3rd International Conference on Learning Representations Iclr 2015 Workshop Track Proceedings (January, 2015)  [abs].
  156. Giryes, R; Sapiro, G; Bronstein, AM, On the stability of deep networks, 3rd International Conference on Learning Representations Iclr 2015 Workshop Track Proceedings (January, 2015)  [abs].
  157. Draelos, M; Qiu, Q; Bronstein, A; Sapiro, G, Intel realsense= real low cost gaze, Image Processing (ICIP), 2015 IEEE International Conference on, vol. 2015-December (2015), pp. 2520-2524, IEEE [doi]  [abs].
  158. Qiu, Q; Chang, Z; Draelos, M; Chen, J; Bronstein, A; Sapiro, G, Low-cost Gaze and Pulse Analysis using RealSense, Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare (2015), pp. 276-279, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) [doi]  [abs].
  159. Hashemi, J; Campbell, K; Carpenter, K; Harris, A; Qiu, Q; Tepper, M; Espinosa, S; Schaich Borg, J; Marsan, S; Calderbank, R; Baker, J; Egger, HL; Dawson, G; Sapiro, G, A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study, Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare (2015), pp. 23-27, ICST [doi]  [abs].
  160. Tepper, M; Sapiro, G, A biclustering framework for consensus problems, SIAM Journal on Imaging Sciences, vol. 7 no. 4 (November, 2014), pp. 2488-2552, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs].
  161. Yang, J; Yuan, X; Liao, X; Llull, P; Brady, DJ; Sapiro, G; Carin, L, Video compressive sensing using Gaussian mixture models., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 23 no. 11 (November, 2014), pp. 4863-4878 [doi]  [abs].
  162. Duarte-Carvajalino, JM; Lenglet, C; Xu, J; Yacoub, E; Ugurbil, K; Moeller, S; Carin, L; Sapiro, G, Estimation of the CSA-ODF using Bayesian compressed sensing of multi-shell HARDI., Magnetic resonance in medicine, vol. 72 no. 5 (November, 2014), pp. 1471-1485 [doi]  [abs].
  163. Yuan, X; Llull, P; Liao, X; Yang, J; Brady, DJ; Sapiro, G; Carin, L, Low-cost compressive sensing for color video and depth, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (September, 2014), pp. 3318-3325, IEEE [doi]  [abs].
  164. Kim, J; Lenglet, C; Duchin, Y; Sapiro, G; Harel, N, Semiautomatic segmentation of brain subcortical structures from high-field MRI., IEEE journal of biomedical and health informatics, vol. 18 no. 5 (September, 2014), pp. 1678-1695 [doi]  [abs].
  165. Yoo, TS; Lowekamp, BC; Kuybeda, O; Narayan, K; Frank, GA; Bartesaghi, A; Borgnia, M; Subramaniam, S; Sapiro, G; Ackerman, MJ, Accelerating discovery in 3D microanalysis: Leveraging open source software and deskside high performance computing, Microscopy and Microanalysis, vol. 20 no. 3 (August, 2014), pp. 774-775, Cambridge University Press (CUP) [doi] .
  166. Prasad, G; Joshi, SH; Jahanshad, N; Villalon-Reina, J; Aganj, I; Lenglet, C; Sapiro, G; McMahon, KL; de Zubicaray, GI; Martin, NG; Wright, MJ; Toga, AW; Thompson, PM, Automatic clustering and population analysis of white matter tracts using maximum density paths., NeuroImage, vol. 97 (August, 2014), pp. 284-295 [doi]  [abs].
  167. Harrison, BD; Hashemi, J; Bibi, M; Pulver, R; Bavli, D; Nahmias, Y; Wellington, M; Sapiro, G; Berman, J, A tetraploid intermediate precedes aneuploid formation in yeasts exposed to fluconazole., PLoS biology, vol. 12 no. 3 (March, 2014), pp. e1001815 [doi]  [abs].
  168. Tepper, M; Sapiro, G, Intersecting 2D lines: A simple method for detecting vanishing points, 2014 IEEE International Conference on Image Processing Icip 2014 (January, 2014), pp. 1056-1060, IEEE [doi]  [abs].
  169. Qiu, Q; Sapiro, G, Learning Transformations, 2014 IEEE International Conference on Image Processing Icip 2014 (January, 2014), pp. 4008-4012, IEEE [doi]  [abs].
  170. Qiu, Q; Sapiro, G, Learning compressed image classification features, 2014 IEEE International Conference on Image Processing Icip 2014 (January, 2014), pp. 5761-5765, IEEE [doi]  [abs].
  171. Tepper, M; Sapiro, G, All for one, one for all: Consensus community detection in networks, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (January, 2014), pp. 1075-1079, IEEE [doi]  [abs].
  172. Carpenter, K; Sprechmann, P; Fiori, M; Calderbank, R; Egger, H; Sapiro, G, Questionnaire simplification for fast risk analysis of children's mental health, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (January, 2014), pp. 6009-6013, IEEE [doi]  [abs].
  173. Sprechmann, P; Bronstein, AM; Sapiro, G, Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement, 2014 4th Joint Workshop on Hands Free Speech Communication and Microphone Arrays Hscma 2014 (January, 2014), pp. 11-15, IEEE [doi]  [abs].
  174. Fiori, M; Musé, P; Sapiro, G, A complete system for candidate polyps detection in virtual colonoscopy, International Journal of Pattern Recognition and Artificial Intelligence, vol. 28 no. 7 (January, 2014), pp. 1460014-1460014, World Scientific Pub Co Pte Lt [1209.6525v1], [doi]  [abs].
  175. Dennis, EL; Zhan, L; Jahanshad, N; Mueller, BA; Jin, Y; Lenglet, C; Yacoub, E; Sapiro, G; Ugurbil, K; Harel, N; Toga, A; Lim, KO; Thompson, PM, Rich club analysis of structural brain connectivity at 7 tesla versus 3 tesla, Mathematics and Visualization (January, 2014), pp. 209-218, Springer International Publishing [doi]  [abs].
  176. Qiu, Q; Sapiro, G, Learning transformations for classification forests, 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings (January, 2014)  [abs].
  177. Masci, J; Bronstein, AM; Bronstein, MM; Sprechmann, P; Sapiro, G, Sparse similarity-preserving hashing, 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings (January, 2014)  [abs].
  178. Masci, J; Bronstein, AM; Bronstein, MM; Sprechmann, P; Sapiro, G, Sparse similarity-preserving hashing, 2nd International Conference on Learning Representations Iclr 2014 Conference Track Proceedings (January, 2014)  [abs].
  179. Qiu, Q; Sapiro, G, Learning transformations for classification forests, 2nd International Conference on Learning Representations Iclr 2014 Conference Track Proceedings (January, 2014)  [abs].
  180. Fedkiw, R; Morel, JM; Sapiro, G; Shu, CW; Yin, W, The work of Stanley Osher, Proceeding of the International Congress of Mathematicans Icm 2014, vol. 1 (January, 2014), pp. 90-113  [abs].
  181. Hashemi, J; Tepper, M; Vallin Spina, T; Esler, A; Morellas, V; Papanikolopoulos, N; Egger, H; Dawson, G; Sapiro, G, Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants., Autism Res Treat, vol. 2014 (2014), pp. 935686 [repository], [doi]  [abs].
  182. Tepper, M; Sapiro, G, Ants crawling to discover the community structure in networks, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 8259 LNCS no. PART 2 (December, 2013), pp. 552-559, Springer Berlin Heidelberg [doi]  [abs].
  183. Walczak, N; Fasching, J; Toczyski, WD; Morellas, V; Sapiro, G; Papanikolopoulos, N, Locating occupants in preschool classrooms using a multiple RGB-D sensor system, IEEE International Conference on Intelligent Robots and Systems (December, 2013), pp. 2166-2172, IEEE [doi]  [abs].
  184. Fiori, M; Musé, P; Sapiro, G, Polyps flagging in virtual colonoscopy, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 8259 LNCS no. PART 2 (December, 2013), pp. 181-189, Springer Berlin Heidelberg [doi]  [abs].
  185. Sprechmann, P; Bronstein, A; Bronstein, M; Sapiro, G, Learnable low rank sparse models for speech denoising, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (October, 2013), pp. 136-140, IEEE [doi]  [abs].
  186. Sprechmann, P; Bronstein, A; Morel, JM; Sapiro, G, Audio restoration from multiple copies, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (October, 2013), pp. 878-882, IEEE [doi]  [abs].
  187. Cetingul, HE; Dumont, L; Nadar, MS; Thompson, PM; Sapiro, G; Lenglet, C, Importance sampling spherical harmonics to improve probabilistic tractography, Proceedings 2013 3rd International Workshop on Pattern Recognition in Neuroimaging Prni 2013 (October, 2013), pp. 46-49, IEEE [doi]  [abs].
  188. Uğurbil, K; Xu, J; Auerbach, EJ; Moeller, S; Vu, AT; Duarte-Carvajalino, JM; Lenglet, C; Wu, X; Schmitter, S; Van de Moortele, PF; Strupp, J; Sapiro, G; De Martino, F; Wang, D; Harel, N; Garwood, M; Chen, L; Feinberg, DA; Smith, SM; Miller, KL; Sotiropoulos, SN; Jbabdi, S; Andersson, JLR; Behrens, TEJ; Glasser, MF; Van Essen, DC; Yacoub, E; WU-Minn HCP Consortium, Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project., NeuroImage, vol. 80 (October, 2013), pp. 80-104 [23702417], [doi]  [abs].
  189. Sotiropoulos, SN; Jbabdi, S; Xu, J; Andersson, JL; Moeller, S; Auerbach, EJ; Glasser, MF; Hernandez, M; Sapiro, G; Jenkinson, M; Feinberg, DA; Yacoub, E; Lenglet, C; Van Essen, DC; Ugurbil, K; Behrens, TEJ; WU-Minn HCP Consortium, Advances in diffusion MRI acquisition and processing in the Human Connectome Project., NeuroImage, vol. 80 (October, 2013), pp. 125-143 [23702418], [doi]  [abs].
  190. Chen, B; Polatkan, G; Sapiro, G; Blei, D; Dunson, D; Carin, L, Deep learning with hierarchical convolutional factor analysis., IEEE transactions on pattern analysis and machine intelligence, vol. 35 no. 8 (August, 2013), pp. 1887-1901 [23787342], [doi]  [abs].
  191. Qiu, Q; Sapiro, G; Chen, C-H, Domain-invariant Face Recognition using Learned Low-rank Transformation, vol. abs/1308.0275 (August, 2013) [1308.0275v1]  [abs].
  192. Qiu, Q; Sapiro, G, Learning Robust Subspace Clustering, vol. abs/1308.0273 (August, 2013) [1308.0273v1]  [abs].
  193. Caruyer, E; Lenglet, C; Sapiro, G; Deriche, R, Design of multishell sampling schemes with uniform coverage in diffusion MRI., Magnetic resonance in medicine, vol. 69 no. 6 (June, 2013), pp. 1534-1540 [23625329], [doi]  [abs].
  194. Spina, TV; Tepper, M; Esler, A; Morellas, V; Papanikolopoulos, N; Falcão, AX; Sapiro, G, Video Human Segmentation using Fuzzy Object Models and its Application to Body Pose Estimation of Toddlers for Behavior Studies (May, 2013) [1305.6918v1]  [abs].
  195. Llull, P; Liao, X; Yuan, X; Yang, J; Kittle, D; Carin, L; Sapiro, G; Brady, DJ, Coded aperture compressive temporal imaging., Optics express, vol. 21 no. 9 (May, 2013), pp. 10526-10545 [1302.2575v1], [doi]  [abs].
  196. Su, S; White, T; Schmidt, M; Kao, C-Y; Sapiro, G, Geometric computation of human gyrification indexes from magnetic resonance images., Human brain mapping, vol. 34 no. 5 (May, 2013), pp. 1230-1244 [22331577], [doi]  [abs].
  197. Harris, AK; Meyerson, JR; Matsuoka, Y; Kuybeda, O; Moran, A; Bliss, D; Das, SR; Yewdell, JW; Sapiro, G; Subbarao, K; Subramaniam, S, Structure and accessibility of HA trimers on intact 2009 H1N1 pandemic influenza virus to stem region-specific neutralizing antibodies., Proceedings of the National Academy of Sciences of the United States of America, vol. 110 no. 12 (March, 2013), pp. 4592-4597 [23460696], [doi]  [abs].
  198. Kuybeda, O; Frank, GA; Bartesaghi, A; Borgnia, M; Subramaniam, S; Sapiro, G, A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography., J Struct Biol, vol. 181 no. 2 (February, 2013), pp. 116-127 [23110852], [doi]  [abs].
  199. Duarte-Carvajalino, JM; Yu, G; Carin, L; Sapiro, G, Task-driven adaptive statistical compressive sensing of gaussian mixture models, IEEE Transactions on Signal Processing, vol. 61 no. 3 (January, 2013), pp. 585-600, Institute of Electrical and Electronics Engineers (IEEE) [1201.5404v1], [doi]  [abs].
  200. Llull, P; Liao, X; Yuan, X; Yang, J; Kittle, D; Carin, L; Sapiro, G; Brady, DJ, Compressive sensing for video using a passive coding element, Optics InfoBase Conference Papers (January, 2013)  [abs].
  201. Harris, AK; Meyerson, JR; Matsuoka, Y; Kuybeda, O; Moran, A; Bliss, D; Das, SR; Yewdell, J; Sapiro, G; Subbarao, K; Subramaniam, S, Molecular Structures of Native HA Trimers on 2009 H1N1 Pandemic Influenza Virus Complexed with Neutralizing Antibodies, Biophysical Journal, vol. 104 no. 2 (January, 2013), pp. 414a-414a, Elsevier BV [Gateway.cgi], [doi] .
  202. Frank, GA; Kuybeda, O; Bartesaghi, A; Borgnia, MJ; Sapiro, G; Subramaniam, S, Computational Separation of Conformational Heterogeneity using Cryo-Electron Tomography and 3D Sub-Volume Averaging, Biophysical Journal, vol. 104 no. 2 (January, 2013), pp. 350a-351a, Elsevier BV [Gateway.cgi], [doi] .
  203. Llull, P; Liao, X; Yuan, X; Yang, J; Kittle, D; Carin, L; Sapiro, G; Brady, DJ, Compressive sensing for video using a passive coding element, Optics Infobase Conference Papers (January, 2013) [doi]  [abs].
  204. Elhamifar, E; Sapiro, G; Yang, A; Sasrty, SS, A convex optimization framework for active learning, Proceedings of the IEEE International Conference on Computer Vision (January, 2013), pp. 209-216, IEEE [doi]  [abs].
  205. Fiori, M; Sprechmann, P; Vogelstein, J; Musé, P; Sapiro, G, Robust multimodal graph matching: Sparse coding meets graph matching, Advances in Neural Information Processing Systems (January, 2013)  [abs].
  206. Sprechmann, P; Litman, R; Ben Yakar, T; Bronstein, A; Sapiro, G, Efficient supervised sparse analysis and synthesis operators, Advances in Neural Information Processing Systems (January, 2013)  [abs].
  207. Tepper, M; Sapiro, G, Fast L1 smoothing splines with an application to Kinect depth data, 2013 IEEE International Conference on Image Processing Icip 2013 Proceedings (January, 2013), pp. 504-508, IEEE [doi]  [abs].
  208. Yang, J; Yuan, X; Liao, X; Llull, P; Sapiro, G; Brady, DJ; Carin, L, Gaussian mixture model for video compressive sensing, 2013 IEEE International Conference on Image Processing Icip 2013 Proceedings (January, 2013), pp. 19-23, IEEE [doi]  [abs].
  209. Duarte-Carvajalino, JM; Sapiro, G; Harel, N; Lenglet, C, A Framework for Linear and Non-Linear Registration of Diffusion-Weighted MRIs Using Angular Interpolation., Frontiers in neuroscience, vol. 7 (January, 2013), pp. 41 [23596381], [doi]  [abs].
  210. Caruyer, E; Aganj, I; Lenglet, C; Sapiro, G; Deriche, R, Motion Detection in Diffusion MRI via Online ODF Estimation., International journal of biomedical imaging, vol. 2013 (January, 2013), pp. 849363 [23509445], [doi]  [abs].
  211. Zhan, L; Mueller, BA; Jahanshad, N; Jin, Y; Lenglet, C; Yacoub, E; Sapiro, G; Ugurbil, K; Harel, N; Toga, AW; Lim, KO; Thompson, PM, Magnetic resonance field strength effects on diffusion measures and brain connectivity networks., Brain connectivity, vol. 3 no. 1 (January, 2013), pp. 72-86 [23205551], [doi]  [abs].
  212. Chen, B; Polatkan, G; Sapiro, G; Blei, D; Dunson, D; Carin, L, Deep Learning with Hierarchical Convolutional Factor Analysis., IEEE transactions on pattern analysis and machine intelligence (January, 2013) [23319498]  [abs].
  213. Yuan, X; Yang, J; Llull, P; Liao, X; Sapiro, G; Brady, DJ; Carin, L, Adaptive temporal compressive sensing for video, 2013 IEEE International Conference on Image Processing Icip 2013 Proceedings (January, 2013), pp. 14-18 [1302.3446v3], [doi]  [abs].
  214. Pokrass, J; Bronstein, AM; Bronstein, MM; Sprechmann, P; Sapiro, G, Sparse modeling of intrinsic correspondences, Computer Graphics Forum, vol. 32 no. 2 PART4 (January, 2013), pp. 459-468, WILEY [1209.6560v1], [doi]  [abs].
  215. Yakar, TB; Litman, R; Sprechmann, P; Bronstein, A; Sapiro, G, Bilevel sparse models for polyphonic music transcription, Proceedings of the 14th International Society for Music Information Retrieval Conference Ismir 2013 (January, 2013), pp. 65-70  [abs].
  216. Tang, Z; Tepper, M; Sapiro, G, Reflective Symmetry Detection by Rectifying Randomized Correspondences, Procedings of the British Machine Vision Conference 2013 (2013), pp. 115.1-115.11, British Machine Vision Association [Gateway.cgi], [doi] .
  217. Duarte-Carvajalino, JM; Yu, G; Carin, L; Sapiro, G, Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models., IEEE Trans. Signal Process., vol. 61 (2013), pp. 585-600 [1201.5404v1], [doi]  [abs].
  218. Asiaee T., A; Tepper, M; Banerjee, A; Sapiro, G, If you are happy and you know it... tweet, ACM International Conference Proceeding Series (December, 2012), pp. 1602-1606, ACM Press [doi]  [abs].
  219. Tepper, M; Sapiro, G, Decoupled coarse-to-fine matching and nonlinear regularization for efficient motion estimation, Proceedings International Conference on Image Processing Icip (December, 2012), pp. 1517-1520, IEEE [doi]  [abs].
  220. Elhamifar, E; Sapiro, G; Vidal, R, Finding exemplars from pairwise dissimilarities via simultaneous sparse recovery, Advances in Neural Information Processing Systems, vol. 1 (December, 2012), pp. 19-27  [abs].
  221. Fiori, M; Musé, P; Sapiro, G, Topology constraints in graphical models, Advances in Neural Information Processing Systems, vol. 1 (December, 2012), pp. 791-799  [abs].
  222. Fasching, J; Walczak, N; Sivalingam, R; Cullen, K; Murphy, B; Sapiro, G; Morellas, V; Papanikolopoulos, N, Detecting risk-markers in children in a preschool classroom, IEEE International Conference on Intelligent Robots and Systems (December, 2012), pp. 1010-1016, IEEE [mostRecentIssue.jsp], [doi]  [abs].
  223. Hashemi, J; Spina, TV; Tepper, M; Esler, A; Morellas, V; Papanikolopoulos, N; Sapiro, G, A computer vision approach for the assessment of autism-related behavioral markers, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics ICDL 2012 (December, 2012), pp. 1-7, IEEE [mostRecentIssue.jsp], [doi]  [abs].
  224. Sprechmann, P; Bronstein, A; Sapiro, G, Real-time online singing voice separation from monaural recordings using robust low-rank modeling, edited by Gouyon, F; Herrera, P; Martins, LG; Müller, M, Proceedings of the 13th International Society for Music Information Retrieval Conference Ismir 2012 (December, 2012), pp. 67-72, FEUP Edições [html]  [abs].
  225. Castrodad, A; Khuon, T; Rand, R; Sapiro, G, Sparse modeling for hyperspectral imagery with LiDAR data fusion for subpixel mapping, International Geoscience and Remote Sensing Symposium IGARSS (December, 2012), pp. 7275-7278, IEEE [mostRecentIssue.jsp], [doi]  [abs].
  226. Bartesaghi, A; Lecumberry, F; Sapiro, G; Subramaniam, S, Protein secondary structure determination by constrained single-particle cryo-electron tomography., Structure (London, England : 1993), vol. 20 no. 12 (December, 2012), pp. 2003-2013 [23217682], [doi]  [abs].
  227. Michaeli, T; Eldar, YC; Sapiro, G, Semi-supervised single- And multi-domain regression with multi-domain training, Information and Inference, vol. 1 no. 1 (December, 2012), pp. 68-97 [1203.4422v1], [doi]  [abs].
  228. Hashemi, J; Spina, TV; Tepper, M; Esler, A; Morellas, V; Papanikolopoulos, N; Sapiro, G, Computer vision tools for the non-invasive assessment of autism-related behavioral markers, vol. abs/1210.7014 (October, 2012) [1210.7014v2]  [abs].
  229. Ramírez, I; Sapiro, G, LOw-rank data modeling via the minimum description length principle, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (October, 2012), pp. 2165-2168, IEEE [doi]  [abs].
  230. Michaeli, T; Eldar, YC; Sapiro, G, Semi-supervised multi-domain regression with distinct training sets, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (October, 2012), pp. 2145-2148, IEEE [doi]  [abs].
  231. Sprechmann, P; Cancela, P; Sapiro, G, Gaussian mixture models for score-informed instrument separation, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (October, 2012), pp. 49-52, IEEE [doi]  [abs].
  232. Duarte-Carvajalino, JM; Yu, G; Carin, L; Sapiro, G, Adapted statistical compressive sensing: Learning to sense gaussian mixture models, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (October, 2012), pp. 3653-3656, IEEE [doi]  [abs].
  233. Sprechmann, P; Bronstein, A; Sapiro, G, Learning efficient structured sparse models, Proceedings of the 29th International Conference on Machine Learning Icml 2012, vol. 1 (October, 2012), pp. 615-622  [abs].
  234. Elhamifar, E; Sapiro, G; Vidal, R, See all by looking at a few: Sparse modeling for finding representative objects, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (October, 2012), pp. 1600-1607, IEEE [doi]  [abs].
  235. Castrodad, A; Sapiro, G, Sparse modeling of human actions from motion imagery, International Journal of Computer Vision, vol. 100 no. 1 (October, 2012), pp. 1-15, Springer Nature [doi]  [abs].
  236. Sprechmann, P; Bronstein, AM; Sapiro, G, Learning Robust Low-Rank Representations, vol. abs/1209.6393 (September, 2012) [1209.6393v1]  [abs].
  237. Ramírez, I; Sapiro, G, Universal regularizers for robust sparse coding and modeling., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 21 no. 9 (September, 2012), pp. 3850-3864 [22562754], [doi]  [abs].
  238. Tang, Z; Castrodad, A; Tepper, M; Sapiro, G, Are You Imitating Me? Unsupervised Sparse Modeling for Group Activity Analysis from a Single Video, vol. abs/1208.5451 (August, 2012) [1208.5451v1]  [abs].
  239. Tepper, M; Sapiro, G, L1 Splines for Robust, Simple, and Fast Smoothing of Grid Data, vol. abs/1208.2292 (August, 2012) [1208.2292v2]  [abs].
  240. Abosch, A; Harel, N; Sapiro, G; Duchin, Y; Yacoub, E, 178 Utility of 7T Imaging for Deep Brain Stimulation Surgery, Neurosurgery, vol. 71 no. 2 (August, 2012), pp. E569-E570, Ovid Technologies (Wolters Kluwer Health) [Gateway.cgi], [doi] .
  241. Yatziv, L; Chartouni, M; Datta, S; Sapiro, G, Toward multiple catheters detection in fluoroscopic image guided interventions., IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 16 no. 4 (July, 2012), pp. 770-781 [22389155], [doi]  [abs].
  242. Esser, E; Möller, M; Osher, S; Sapiro, G; Xin, J, A convex model for nonnegative matrix factorization and dimensionality reduction on physical space., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 21 no. 7 (July, 2012), pp. 3239-3252 [22410332], [doi]  [abs].
  243. Ramirez, I; Sapiro, G, An MDL framework for sparse coding and dictionary learning, IEEE Transactions on Signal Processing, vol. 60 no. 6 (June, 2012), pp. 2913-2927, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  244. Walczak, N; Fasching, J; Toczyski, W; Sivalingam, R; Bird, N; Cullen, K; Morellas, V; Murphy, B; Sapiro, G; Papanikolopoulos, N, A nonintrusive system for behavioral analysis of children using multiple RGB+depth sensors, Proceedings of IEEE Workshop on Applications of Computer Vision (May, 2012), pp. 217-222, IEEE [doi]  [abs].
  245. Mahmoudi, M; Sapiro, G, Sparse representations for range data restoration., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 21 no. 5 (May, 2012), pp. 2909-2915 [22287242], [doi]  [abs].
  246. Yu, G; Sapiro, G; Mallat, S, Solving inverse problems with piecewise linear estimators: from Gaussian mixture models to structured sparsity., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 21 no. 5 (May, 2012), pp. 2481-2499 [22180506], [doi]  [abs].
  247. Frank, GA; Bartesaghi, A; Kuybeda, O; Borgnia, MJ; White, TA; Sapiro, G; Subramaniam, S, Computational separation of conformational heterogeneity using cryo-electron tomography and 3D sub-volume averaging., J Struct Biol, vol. 178 no. 2 (May, 2012), pp. 165-176 [22248450], [doi]  [abs].
  248. Aganj, I; Lenglet, C; Yacoub, E; Sapiro, G; Harel, N, A 3D wavelet fusion approach for the reconstruction of isotropic-resolution MR images from orthogonal anisotropic-resolution scans., Magnetic resonance in medicine, vol. 67 no. 4 (April, 2012), pp. 1167-1172 [21761448], [doi]  [abs].
  249. Sapiro, G, Autonomy Revisited: The Question of Mediations and its Methodological Implications, Paragraph, vol. 35 no. 1 (March, 2012), pp. 30-48, Edinburgh University Press [Gateway.cgi], [doi]  [abs].
  250. Xing, Z; Zhou, M; Castrodad, A; Sapiro, G; Carin, L, Dictionary learning for noisy and incomplete hyperspectral images, SIAM Journal on Imaging Sciences, vol. 5 no. 1 (February, 2012), pp. 33-56, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs].
  251. Duarte-Carvajalino, JM; Jahanshad, N; Lenglet, C; McMahon, KL; de Zubicaray, GI; Martin, NG; Wright, MJ; Thompson, PM; Sapiro, G, Hierarchical topological network analysis of anatomical human brain connectivity and differences related to sex and kinship., NeuroImage, vol. 59 no. 4 (February, 2012), pp. 3784-3804 [22108644], [doi]  [abs].
  252. Zhou, T; Shan, H; Banerjee, A; Sapiro, G, Kernelized probabilistic matrix factorization: Exploiting graphs and side information, Proceedings of the 12th SIAM International Conference on Data Mining Sdm 2012 (January, 2012), pp. 403-414, SIAM / Omnipress [1.9781611972825], [doi]  [abs].
  253. Sivalingam, R; Cherian, A; Fasching, J; Walczak, N; Bird, N; Morellas, V; Murphy, B; Cullen, K; Lim, K; Sapiro, G; Papanikolopoulos, N, A multi-sensor visual tracking system for behavior monitoring of at-risk children, Proceedings IEEE International Conference on Robotics and Automation (January, 2012), pp. 1345-1350, IEEE [doi]  [abs].
  254. Tong, M; Kim, Y; Zhan, L; Sapiro, G; Lenglet, C; Mueller, BA; Thompson, PM; Vese, LA, A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING., Proceedings. IEEE International Symposium on Biomedical Imaging (January, 2012), pp. 530-533 [22902985], [doi]  [abs].
  255. Cetingul, HE; Cetingül, HE; Nadar, M; Thompson, P; Sapiro, G; Lenglet, C, Simultaneous ODF estimation and tractography in HARDI., Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2012 (January, 2012), pp. 86-89 [23365838], [doi]  [abs].
  256. Lenglet, C; Abosch, A; Yacoub, E; De Martino, F; Sapiro, G; Harel, N, Comprehensive in vivo mapping of the human basal ganglia and thalamic connectome in individuals using 7T MRI., PloS one, vol. 7 no. 1 (January, 2012), pp. e29153 [22235267], [doi]  [abs].
  257. Duchin, Y; Abosch, A; Yacoub, E; Sapiro, G; Harel, N, Feasibility of using ultra-high field (7 T) MRI for clinical surgical targeting., PloS one, vol. 7 no. 5 (January, 2012), pp. e37328 [22615980], [doi]  [abs].
  258. Zhou, M; Chen, H; Paisley, J; Ren, L; Li, L; Xing, Z; Dunson, D; Sapiro, G; Carin, L, Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 21 no. 1 (January, 2012), pp. 130-144 [21693421], [doi]  [abs].
  259. Sapiro, G, ON THE STATE Classes at College d eFrance, 1989-1992, QUINZAINE LITTERAIRE no. 1061 (2012), pp. 4-4 [Gateway.cgi] .
  260. Bronstein, AM; Sprechmann, P; Sapiro, G, Learning Efficient Structured Sparse Models, CoRR, vol. abs/1206.4649 (2012) .
  261. Ramírez, I; Sapiro, G, LOw-rank data modeling via the minimum description length principle., ICASSP (2012), pp. 2165-2168, IEEE [mostRecentIssue.jsp], [doi] .
  262. Tran, EEH; Borgnia, MJ; Kuybeda, O; Schauder, DM; Bartesaghi, A; Frank, GA; Sapiro, G; Milne, JLS; Subramaniam, S, Structural mechanism of trimeric HIV-1 envelope glycoprotein activation., PLoS Pathog, vol. 8 no. 7 (2012), pp. e1002797 [22807678], [doi]  [abs].
  263. Duarte-Carvajalino, J; Sapiro, G; Yu, G; Carin, L, Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models, vol. abs/1112.5895 (December, 2011) [1112.5895v1]  [abs].
  264. Bar, L; Sapiro, G, Hierarchical invariant sparse modeling for image analysis, Proceedings International Conference on Image Processing Icip (December, 2011), pp. 2397-2400, IEEE [doi]  [abs].
  265. Yu, G; Sapiro, G, Statistical compressed sensing of Gaussian mixture models, IEEE Transactions on Signal Processing, vol. 59 no. 12 (December, 2011), pp. 5842-5858, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  266. Sapiro, G, Comparing shapes, understanding evolution., Proceedings of the National Academy of Sciences of the United States of America, vol. 108 no. 45 (November, 2011), pp. 18189-18190 [22042848], [doi] .
  267. Castrodad, A; Xing, Z; Greer, JB; Bosch, E; Carin, L; Sapiro, G, Learning discriminative sparse representations for modeling, source separation, and mapping of hyperspectral imagery, IEEE Transactions on Geoscience and Remote Sensing, vol. 49 no. 11 PART 1 (November, 2011), pp. 4263-4281, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  268. Li, L; Zhou, M; Sapiro, G; Carin, L, On the integration of topic modeling and dictionary learning, Proceedings of the 28th International Conference on Machine Learning Icml 2011 (October, 2011), pp. 625-632  [abs].
  269. Chen, B; Polatkan, G; Sapiro, G; Dunson, DB; Carin, L, The hierarchical beta process for convolutional factor analysis and deep learning, Proceedings of the 28th International Conference on Machine Learning Icml 2011 (October, 2011), pp. 361-368  [abs].
  270. Sprechmann, P; Ramírez, I; Sapiro, G; Eldar, YC, C-HiLasso: A collaborative hierarchical sparse modeling framework, IEEE Transactions on Signal Processing, vol. 59 no. 9 (September, 2011), pp. 4183-4198 [doi]  [abs].
  271. Yatziv, L; Ibarz, J; Strobel, N; Datta, S; Sapiro, G, Esophagus silhouette extraction and reconstruction from fluoroscopic views for cardiac ablation procedure guidance., IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 15 no. 5 (September, 2011), pp. 703-708 [21775266], [doi]  [abs].
  272. Yu, G; Sapiro, G, Statistical compressive sensing of Gaussian mixture models, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (August, 2011), pp. 3728-3731 [doi]  [abs].
  273. Sprechmann, P; Ramirez, I; Cancela, P; Sapiro, G, Collaborative sources identification in mixed signals via hierarchical sparse modeling, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (August, 2011), pp. 5816-5819, IEEE [doi]  [abs].
  274. Léger, F; Yu, G; Sapiro, G, Efficient matrix completion with Gaussian models, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (August, 2011), pp. 1113-1116, IEEE [doi]  [abs].
  275. Ramírez, I; Sapiro, G, Sparse coding and dictionary learning based on the MDL principle, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (August, 2011), pp. 2160-2163, IEEE [doi]  [abs].
  276. Zhou, M; Yang, H; Sapiro, G; Dunson, D; Carin, L, Covariate-dependent dictionary learning and sparse coding, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (August, 2011), pp. 5824-5827, IEEE [doi]  [abs].
  277. Aganj, I; Lenglet, C; Jahanshad, N; Yacoub, E; Harel, N; Thompson, PM; Sapiro, G, A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography., Medical image analysis, vol. 15 no. 4 (August, 2011), pp. 414-425 [21376655], [doi]  [abs].
  278. Arias, P; Facciolo, G; Caselles, V; Sapiro, G, A variational framework for exemplar-based image inpainting, International Journal of Computer Vision, vol. 93 no. 3 (July, 2011), pp. 319-347, Springer Nature [doi]  [abs].
  279. Wirth, B; Bar, L; Rumpf, M; Sapiro, G, A continuum mechanical approach to geodesics in shape space, International Journal of Computer Vision, vol. 93 no. 3 (July, 2011), pp. 293-318, Springer Nature [doi]  [abs].
  280. Sapiro, G, Technical perspective: Images everywhere looking for models, Communications of the ACM, vol. 54 no. 5 (May, 2011), pp. 108, Association for Computing Machinery (ACM) [doi]  [abs].
  281. Prasad, G; Jahanshad, N; Aganj, I; Lenglet, C; Sapiro, G; Toga, AW; Thompson, PM, ATLAS-BASED FIBER CLUSTERING FOR MULTI-SUBJECT ANALYSIS OF HIGH ANGULAR RESOLUTION DIFFUSION IMAGING TRACTOGRAPHY., Proceedings. IEEE International Symposium on Biomedical Imaging, vol. 2011 (April, 2011), pp. 276-280, IEEE [doi]  [abs].
  282. Silva, J; Chen, M; Eldar, YC; Sapiro, G; Carin, L, Blind Compressed Sensing Over a Structured Union of Subspaces, vol. abs/1103.2469 (March, 2011) [1103.2469v1]  [abs].
  283. Carin, L; Baraniuk, RG; Cevher, V; Dunson, D; Jordan, MI; Sapiro, G; Wakin, MB, Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurements., IEEE signal processing magazine, vol. 28 no. 2 (March, 2011), pp. 39-51 [doi]  [abs].
  284. Jin, Y; Shi, Y; Jahanshad, N; Aganj, I; Sapiro, G; Toga, AW; Thompson, PM, 3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering, Proceedings International Symposium on Biomedical Imaging (January, 2011), pp. 822-826, IEEE [doi]  [abs].
  285. Caruyer, E; Aganj, I; Lenglet, C; Sapiro, G; Deriche, R, Online motion detection in high angular resolution diffusion imaging, Proceedings International Symposium on Biomedical Imaging (January, 2011), pp. 516-519, IEEE [doi]  [abs].
  286. Jahanshad, N; Aganj, I; Lenglet, C; Joshi, A; Jin, Y; Barysheva, M; McMahon, KL; De Zubicaray, GI; Martin, NG; Wright, MJ; Toga, AW; Sapiro, G; Thompson, PM, Sex differences in the human connectome: 4-Tesla high angular resolution diffusion imaging (HARDI) tractography in 234 young adult twins, Proceedings International Symposium on Biomedical Imaging (January, 2011), pp. 939-943, IEEE [doi]  [abs].
  287. Zhan, L; Leow, AD; Aganj, I; Lenglet, C; Sapiro, G; Yacoub, E; Harel, N; Toga, AW; Thompson, PM, Differential information content in staggered multiple shell hardi measured by the tensor distribution function, Proceedings International Symposium on Biomedical Imaging (January, 2011), pp. 305-309, IEEE [doi]  [abs].
  288. Ma, Y; Niyogi, P; Sapiro, G; Vidal, R, Dimensionality reduction via subspace and submanifold learning, IEEE Signal Processing Magazine, vol. 28 no. 2 (January, 2011), pp. 14-126, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  289. Zhou, M; Carin, L; Yang, H; Dunson, D; Sapiro, G, Dependent hierarchical beta process for image interpolation and denoising, Journal of Machine Learning Research, vol. 15 (January, 2011), pp. 883-891  [abs].
  290. Sapiro, G, Should we choose to explain and understand? The interpretation of human actions, QUINZAINE LITTERAIRE no. 1043 (2011), pp. 28-28 [Gateway.cgi] .
  291. Sapiro, G, Merchants of Culture. The Publishing Business in the Twenty-First Century, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 186-87 (2011), pp. 132-135 [Gateway.cgi] .
  292. Sapiro, G, WHAT IS A FRENCH PHILOSOPHER? The social life of concepts (1880-1980), QUINZAINE LITTERAIRE no. 1034 (2011), pp. 21-21 [Gateway.cgi] .
  293. Sprechmann, P; Ramírez, I; Cancela, P; Sapiro, G, Collaborative sources identification in mixed signals via hierarchical sparse modeling., ICASSP (2011), pp. 5816-5819, IEEE [html], [doi] .
  294. Léger, F; Yu, G; Sapiro, G, Efficient matrix completion with Gaussian models., ICASSP (2011), pp. 1113-1116, IEEE [html], [doi] .
  295. Yu, G; Sapiro, G, Statistical Compressed Sensing of Gaussian Mixture Models., IEEE Trans. Signal Process., vol. 59 (2011), pp. 5842-5858 [doi] .
  296. Yu, G; Sapiro, G, Statistical compressive sensing of Gaussian mixture models., ICASSP (2011), pp. 3728-3731, IEEE [html], [doi] .
  297. Yu, G; Sapiro, G; Mallat, S, Image modeling and enhancement via structured sparse model selection, Proceedings International Conference on Image Processing Icip (December, 2010), pp. 1641-1644, IEEE [doi]  [abs].
  298. Paisley, J; Zhou, M; Sapiro, G; Carin, L, Nonparametric image interpolation and dictionary learning using spatially-dependent dirichlet and beta process priors, Proceedings International Conference on Image Processing Icip (December, 2010), pp. 1869-1872, IEEE [doi]  [abs].
  299. Castrodad, A; Xing, Z; Greer, J; Bosch, E; Carin, L; Sapiro, G, Discriminative sparse representations in hyperspectral imagery, Proceedings International Conference on Image Processing Icip (December, 2010), pp. 1313-1316, IEEE [doi]  [abs].
  300. Bugeau, A; Bertalmío, M; Caselles, V; Sapiro, G, A comprehensive framework for image inpainting., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 19 no. 10 (October, 2010), pp. 2634-2645 [20435541], [doi]  [abs].
  301. Bronstein, AM; Bronstein, MM; Kimmel, R; Mahmoudi, M; Sapiro, G, A gromov-hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching, International Journal of Computer Vision, vol. 89 no. 2-3 (September, 2010), pp. 266-286, Springer Nature [doi]  [abs].
  302. Ramirez, I; Sprechmann, P; Sapiro, G, Classification and clustering via dictionary learning with structured incoherence and shared features, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (August, 2010), pp. 3501-3508, IEEE [doi]  [abs].
  303. Sapiro, G, Globalization and cultural diversity in the book market: The case of literary translations in the US and in France, Poetics, vol. 38 no. 4 (August, 2010), pp. 419-439, Elsevier BV [Gateway.cgi], [doi] .
  304. Aganj, I; Lenglet, C; Sapiro, G; Yacoub, E; Ugurbil, K; Harel, N, Reconstruction of the orientation distribution function in single- and multiple-shell q-ball imaging within constant solid angle., Magnetic resonance in medicine, vol. 64 no. 2 (August, 2010), pp. 554-566 [20535807], [doi]  [abs].
  305. Sprechmann, P; Ramirez, I; Sapiro, G; Eldar, Y, Collaborative hierarchical sparse modeling, 2010 44th Annual Conference on Information Sciences and Systems Ciss 2010 (June, 2010), IEEE [doi]  [abs].
  306. Lecumberry, F; Pardo, A; Sapiro, G, Simultaneous object classification and segmentation with high-order multiple shape models., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 19 no. 3 (March, 2010), pp. 625-635 [20028636], [doi]  [abs].
  307. Mairal, J; Bach, F; Ponce, J; Sapiro, G, Online learning for matrix factorization and sparse coding, Journal of Machine Learning Research, vol. 11 (February, 2010), pp. 19-60  [abs].
  308. White, T; Su, S; Schmidt, M; Kao, C-Y; Sapiro, G, The development of gyrification in childhood and adolescence., Brain and cognition, vol. 72 no. 1 (February, 2010), pp. 36-45 [19942335], [doi]  [abs].
  309. Sapiro, G, Special Section on Optimization in Imaging Sciences, SIAM Journal on Imaging Sciences, vol. 3 no. 4 (January, 2010), pp. 1047-1047, Society for Industrial & Applied Mathematics (SIAM) [doi] .
  310. Aganj, I; Lenglet, C; Sapiro, G, ODF maxima extraction in spherical harmonic representation via analytical search space reduction., Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, vol. 13 no. Pt 2 (January, 2010), pp. 84-91 [20879302], [doi]  [abs].
  311. Passalacqua, P; Do Trung, T; Foufoula-Georgiou, E; Sapiro, G; Dietrich, WE, A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths, Journal of Geophysical Research Earth Surface, vol. 115 no. 1 (January, 2010), American Geophysical Union (AGU) [doi]  [abs].
  312. Caruyer, E; Aganj, I; Muetzel, RL; Lenglet, C; Sapiro, G; Deriche, R, Online orientation distribution function reconstrugtion in constant solid angle and its application to motion detection in HARDI, 2010 7th IEEE International Symposium on Biomedical Imaging from Nano to Macro Isbi 2010 Proceedings (January, 2010), pp. 812-815, IEEE [doi]  [abs].
  313. Sprechmann, P; Sapiro, G, Dictionary learning and sparse coding for unsupervised clustering, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (January, 2010), pp. 2042-2045, IEEE [doi]  [abs].
  314. Bar, L; Sapiro, G, Hierarchical dictionary learning for invariant classification, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (January, 2010), pp. 3578-3581, IEEE [doi]  [abs].
  315. Bai, X; Wang, J; Sapiro, G, Dynamic color flow: A motion-adaptive color model for object segmentation in video, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 6315 LNCS no. PART 5 (January, 2010), pp. 617-630, Springer Berlin Heidelberg [doi]  [abs].
  316. Fiori, M; Musé, P; Aguirre, S; Sapiro, G, Automatic colon polyp flagging via geometric and texture features., Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2010 (January, 2010), pp. 3170-3173 [21096596], [doi]  [abs].
  317. Wright, J; Ma, Y; Mairal, J; Sapiro, G; Huang, TS; Yan, S, Sparse representation for computer vision and pattern recognition, Proceedings of the IEEE, vol. 98 no. 6 (January, 2010), pp. 1031-1044, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  318. Sapiro, G; Steinmetz, G; Ducournau, C, The production of colonial and post-colonial representations, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 185 (2010), pp. 4-11 [Gateway.cgi] .
  319. Sapiro, G, Punish the violence of words: the French intellectual process at the end of World War II, ESPRIT CREATEUR, vol. 50 no. 4 (2010), pp. 4-19 [Gateway.cgi] .
  320. Sapiro, G; Kaniuk, Y, THE LAST JEW, QUINZAINE LITTERAIRE no. 1008 (2010), pp. 12-13 [Gateway.cgi] .
  321. Steinmetz, G; Sapiro, G; Balandier, G, All scientific careers have autobiographical moments, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 185 (2010), pp. 44-61 [Gateway.cgi] .
  322. Shema-Didi, L; Sela, S; Geron, R; Sapiro, G; Ore, L; Kristal, B, The Beneficial Effects of One Year Pomegranate Juice Consumption on Traditional and Nontraditional Risk Factors for Cardiovascular Diseases, Free Radical Biology and Medicine, vol. 49 (2010), pp. S198-S198, Elsevier BV [Gateway.cgi], [doi] .
  323. Sprechmann, P; Ramírez, I; Sapiro, G; Eldar, YC, Collaborative hierarchical sparse modeling., CISS (2010), pp. 1-6, IEEE [mostRecentIssue.jsp], [doi] .
  324. Mairal, J; Bach, FR; Ponce, J; Sapiro, G, Online Learning for Matrix Factorization and Sparse Coding., J. Mach. Learn. Res., vol. 11 (2010), pp. 19-60 [doi] .
  325. Ramírez, I; Sapiro, G, Sparse coding and dictionary learning based on the MDL principle, CoRR, vol. abs/1010.4751 (2010) .
  326. Ramírez, I; Sapiro, G, Universal Sparse Modeling, CoRR, vol. abs/1003.2941 (2010) .
  327. Raḿrez, I; Lecumberry, F; Sapiro, G, Universal priors for sparse modeling, Camsap 2009 2009 3rd IEEE International Workshop on Computational Advances in Multi Sensor Adaptive Processing (December, 2009), pp. 197-200, IEEE [doi]  [abs].
  328. Mairal, J; Bach, F; Ponce, J; Sapiro, G; Zisserman, A, Non-local sparse models for image restoration, Proceedings of the IEEE International Conference on Computer Vision (December, 2009), pp. 2272-2279, IEEE [doi]  [abs].
  329. Szlam, A; Sapiro, G, Discriminative k metrics and the Chan-Vese model for object detection and segmentation, Proceedings of SPIE the International Society for Optical Engineering, vol. 7446 (November, 2009), SPIE [doi]  [abs].
  330. Arias, P; Caselles, V; Sapiro, G, A variational framework for non-local image inpainting, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 5681 LNCS (November, 2009), pp. 345-358, Springer Berlin Heidelberg [doi]  [abs].
  331. Wirth, B; Bar, L; Rumpf, M; Sapiro, G, Geodesics in shape space via variational time discretization, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 5681 LNCS (November, 2009), pp. 288-302, Springer Berlin Heidelberg [doi]  [abs].
  332. Facciolo, G; Arias, P; Caselles, V; Sapiro, G, Exemplar-based interpolation of sparsely sampled images, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 5681 LNCS (November, 2009), pp. 331-344, Springer Berlin Heidelberg [doi]  [abs].
  333. Aganj, I; Sapiro, G; Parikshak, N; Madsen, SK; Thompson, PM, Measurement of cortical thickness from MRI by minimum line integrals on soft-classified tissue., Human brain mapping, vol. 30 no. 10 (October, 2009), pp. 3188-3199 [19219850], [doi]  [abs].
  334. Szlam, A; Sapiro, G, Discriminative k-metrics, ACM International Conference Proceeding Series, vol. 382 (September, 2009), ACM Press [doi]  [abs].
  335. Mairal, J; Bach, F; Ponce, J; Sapiro, G, Online dictionary learning for sparse coding, ACM International Conference Proceeding Series, vol. 382 (September, 2009), ACM Press [doi]  [abs].
  336. Sapiro, G, Un héritage symbolique détourné ? La nouvelle revue française des années noires1, Études littéraires, vol. 40 no. 1 (September, 2009), pp. 97-117, Consortium Erudit [Gateway.cgi], [doi]  [abs].
  337. Sundaramoorthi, G; Yezzi, A; Mennucci, AC; Sapiro, G, New possibilities with Sobolev active contours, International Journal of Computer Vision, vol. 84 no. 2 (August, 2009), pp. 113-129, Springer Nature [doi]  [abs].
  338. Bai, X; Wang, J; Simons, D; Sapiro, G, Video SnapCut: Robust video object cutout using localized classifiers, ACM Transactions on Graphics, vol. 28 no. 3 (July, 2009), pp. 1-1, Association for Computing Machinery (ACM) [doi]  [abs].
  339. Duarte-Carvajalino, JM; Sapiro, G, Learning to sense sparse signals: simultaneous sensing matrix and sparsifying dictionary optimization., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 18 no. 7 (July, 2009), pp. 1395-1408 [19497818], [doi]  [abs].
  340. Jahanshad, N; Lee, AD; Lepore, N; Chou, Y-Y; Brun, C; Barysheva, M; Toga, AW; McMahon, KL; de Zubicaray, GI; Wright, MJ; Sapiro, G; Lenglet, C; Thompson, PM, REDUCING STRUCTURAL VARIATION TO DETERMINE THE GENETICS OF WHITE MATTER INTEGRITY ACROSS HEMISPHERES - A DTI STUDY OF 100 TWINS., Proceedings. IEEE International Symposium on Biomedical Imaging, vol. 2009 (June, 2009), pp. 819-822, IEEE [doi]  [abs].
  341. Aganj, I; Lenglet, C; Sapiro, G, ODF RECONSTRUCTION IN Q-BALL IMAGING WITH SOLID ANGLE CONSIDERATION., Proceedings. IEEE International Symposium on Biomedical Imaging, vol. 2009 (June, 2009), pp. 1398-1401, IEEE [doi]  [abs].
  342. Bai, X; Sapiro, G, Geodesic matting: A framework for fast interactive image and video segmentation and matting, International Journal of Computer Vision, vol. 82 no. 2 (April, 2009), pp. 113-132, Springer Nature [doi]  [abs].
  343. Pollick, FE; Maoz, U; Handzel, AA; Giblin, PJ; Sapiro, G; Flash, T, Three-dimensional arm movements at constant equi-affine speed., Cortex; a journal devoted to the study of the nervous system and behavior, vol. 45 no. 3 (March, 2009), pp. 325-339 [18678364], [doi]  [abs].
  344. Lenglet, C; Campbell, JSW; Descoteaux, M; Haro, G; Savadjiev, P; Wassermann, D; Anwander, A; Deriche, R; Pike, GB; Sapiro, G; Siddiqi, K; Thompson, PM, Mathematical methods for diffusion MRI processing., NeuroImage, vol. 45 no. 1 Suppl (March, 2009), pp. S111-S122 [19063977], [doi]  [abs].
  345. Ivry, T; Michal, S; Avihoo, A; Sapiro, G; Barash, D, An image processing approach to computing distances between RNA secondary structures dot plots., Algorithms for molecular biology : AMB, vol. 4 (February, 2009), pp. 4 [19203377], [doi]  [abs].
  346. Castrodad, A; Ramirez, I; Sapiro, G; Sprechmann, P; Yu, G, Second-generation sparse modeling: Structured and collaborative signal analysis (January, 2009), pp. 65-87, Cambridge University Press [doi]  [abs].
  347. Rother, D; Sapiro, G, Seeing 3D Objects in a Single 2D Image, Proceedings of the IEEE International Conference on Computer Vision (January, 2009), pp. 1819-1826, IEEE [mostRecentIssue.jsp], [doi]  [abs].
  348. Bar, L; Sapiro, G, Generalized newton-type methods for energy formulations in image processing, SIAM Journal on Imaging Sciences, vol. 2 no. 2 (January, 2009), pp. 508-531, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs].
  349. Aganj, I; Lenglet, C; Sapiro, G; Yacoub, E; Ugurbil, K; Harel, N, Multiple Q-shell ODF reconstruction in Q-ball imaging., Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, vol. 12 no. Pt 2 (January, 2009), pp. 423-431 [20426140], [doi]  [abs].
  350. Mahmoudi, M; Sapiro, G, Three-dimensional point cloud recognition via distributions of geometric distances, Graphical Models, vol. 71 no. 1 (January, 2009), pp. 22-31, Elsevier BV [doi]  [abs].
  351. Szlam, A; Sapiro, G, Discriminative k-metrics, Proceedings of the 26th International Conference on Machine Learning Icml 2009 (January, 2009), pp. 1009-1016 [doi]  [abs].
  352. Mairal, J; Bach, F; Ponce, J; Sapiro, G, Online dictionary learning for sparse coding, Proceedings of the 26th International Conference on Machine Learning Icml 2009 (January, 2009), pp. 689-696  [abs].
  353. Lecumberry, F; Pardo, A; Sapiro, G, Multiple shape models for simultaneous object classification and segmentation, Proceedings International Conference on Image Processing Icip (January, 2009), pp. 3001-3004, IEEE [doi]  [abs].
  354. Mairal, J; Bach, F; Ponce, J; Sapiro, G; Zisserman, A, Supervised dictionary learning, Advances in Neural Information Processing Systems 21 Proceedings of the 2008 Conference (January, 2009), pp. 1033-1040  [abs].
  355. Zhou, M; Chen, H; Paisley, J; Ren, L; Sapiro, G; Carin, L, Non-parametric Bayesian dictionary learning for sparse image representations, Advances in Neural Information Processing Systems 22 Proceedings of the 2009 Conference (January, 2009), pp. 2295-2303  [abs].
  356. Matonti, F; Sapiro, G, The commitment of intellectuals: new viewpoints, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 176-77 (2009), pp. 4-7 [Gateway.cgi] .
  357. Sapiro, G, Intellectuals and politics: A Typology, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 176-77 (2009), pp. 8-+ [Gateway.cgi] .
  358. Bar, L; Sapiro, G, Generalized newton methods for energy formulations in image processing, Proceedings International Conference on Image Processing Icip (December, 2008), pp. 809-812, IEEE [doi]  [abs].
  359. Haro, G; Randall, G; Sapiro, G, Translated poisson mixture model for stratification learning, International Journal of Computer Vision, vol. 80 no. 3 (December, 2008), pp. 358-374, Springer Nature [doi]  [abs].
  360. Narasimha, R; Aganj, I; Bennett, AE; Borgnia, MJ; Zabransky, D; Sapiro, G; McLaughlin, SW; Milne, JLS; Subramaniam, S, Evaluation of denoising algorithms for biological electron tomography., J Struct Biol, vol. 164 no. 1 (October, 2008), pp. 7-17 [18585059], [doi]  [abs].
  361. Mairal, J; Bach, F; Ponce, J; Sapiro, G; Zisserman, A, Discriminative learned dictionaries for local image analysis, 26th IEEE Conference on Computer Vision and Pattern Recognition Cvpr (September, 2008), IEEE [doi]  [abs].
  362. Rother, D; Williams, L; Sapiro, G, Super-resolution texturing for online virtual globes, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Cvpr Workshops (September, 2008), IEEE [doi]  [abs].
  363. Mahmoudi, M; Sapiro, G, Three-dimensional point cloud recognition via distributions of geometric distances, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Cvpr Workshops (September, 2008), IEEE [doi]  [abs].
  364. Rother, D; Patwardhan, K; Aganj, I; Sapiro, G, 3D priors for scene learning from a single view, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Cvpr Workshops (September, 2008), IEEE [doi]  [abs].
  365. Liu, J; Bartesaghi, A; Borgnia, MJ; Sapiro, G; Subramaniam, S, Molecular architecture of native HIV-1 gp120 trimers., Nature, vol. 455 no. 7209 (September, 2008), pp. 109-113 [18668044], [doi]  [abs].
  366. Caselles, V; Haro, G; Sapiro, G; Verdera, J, On geometric variational models for inpainting surface holes, Computer Vision and Image Understanding, vol. 111 no. 3 (September, 2008), pp. 351-373, Elsevier BV [doi]  [abs].
  367. Duarte-Carvajalino, JM; Sapiro, G; Vélez-Reyesvelez-Reyes, M; Castillo, PE, Multiscale representation and segmentation of hyperspectral imagery using geometric partial differential equations and algebraic multigrid methods, IEEE Transactions on Geoscience and Remote Sensing, vol. 46 no. 8 (August, 2008), pp. 2418-2434, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  368. Sapiro, G, Translation and the field of publishing, Translation Studies, vol. 1 no. 2 (July, 2008), pp. 154-166, Informa UK Limited [Gateway.cgi], [doi] .
  369. Duarte-Carvajalino, JM; Sapiro, G; Velez-Reyes, M, Unsupervised spectral-spatial classification of hyperspectral imagery using real and complex features and generalized histograms, Proceedings of SPIE the International Society for Optical Engineering, vol. 6966 (June, 2008), SPIE [doi]  [abs].
  370. Bartesaghi, A; Sprechmann, P; Liu, J; Randall, G; Sapiro, G; Subramaniam, S, Classification and 3D averaging with missing wedge correction in biological electron tomography., Journal of structural biology, vol. 162 no. 3 (June, 2008), pp. 436-450 [18440828], [doi]  [abs].
  371. Singh, G; Memoli, F; Ishkhanov, T; Sapiro, G; Carlsson, G; Ringach, DL, Topological analysis of population activity in visual cortex., Journal of vision, vol. 8 no. 8 (June, 2008), pp. 11.1-1118 [18831634], [doi]  [abs].
  372. Liu, J; Bartesaghi, A; Borgnia, MJ; Sapiro, G; Subramaniam, S, Molecular Architecture of Native HIV-1 gp 120 Trimers, Chemtracts, vol. 21 no. 6 (June, 2008), pp. 227-228  [abs].
  373. Patwardhan, KA; Sapiro, G; Morellas, V, Robust foreground detection in video using pixel layers., IEEE transactions on pattern analysis and machine intelligence, vol. 30 no. 4 (April, 2008), pp. 746-751 [18276979], [doi]  [abs].
  374. Sapiro, G, Message from the Editor-in-Chief, SIAM Journal on Imaging Sciences, vol. 1 no. 1 (January, 2008), pp. 1-1, Society for Industrial & Applied Mathematics (SIAM) [doi] .
  375. Rother, D; Sapiro, G; Pande, V, Statistical characterization of protein ensembles., IEEE/ACM transactions on computational biology and bioinformatics, vol. 5 no. 1 (January, 2008), pp. 42-55 [18245874], [doi]  [abs].
  376. Liao, HY; Sapiro, G, Sparse representations for limited data tomography, 2008 5th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings Isbi (January, 2008), pp. 1375-1378, IEEE [doi]  [abs].
  377. Mairal, J; Elad, M; Sapiro, G, Sparse representation for color image restoration., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 17 no. 1 (January, 2008), pp. 53-69 [18229804], [doi]  [abs].
  378. Aganj, I; Sapiro, G; Parikshak, N; Madsen, SK; Thompson, PM, Segmentation-free measurement of cortical thickness from MRI, 2008 5th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings Isbi (January, 2008), pp. 1625-1628, IEEE [doi]  [abs].
  379. Haro, G; Lenglet, C; Sapiro, G; Thompson, P, On the non-uniform complexity of brain connectivity, 2008 5th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings Isbi (January, 2008), pp. 887-890, IEEE [doi]  [abs].
  380. Mairal, J; Sapiro, G; Elad, M, Learning multiscale sparse representations for image and video restoration, Multiscale Modeling and Simulation, vol. 7 no. 1 (January, 2008), pp. 214-241, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs].
  381. Bar, L; Sapiro, G; IEEE, GENERALIZED NEWTON METHODS FOR ENERGY FORMULATIONS IN IMAGE PROCESSING, 2008 IEEE International Conference on Image Processing, Proceedings (2008), pp. 813-816 [Gateway.cgi] .
  382. Mairal, J; Bach, FR; Ponce, J; Sapiro, G; Zisserman, A, Supervised Dictionary Learning., edited by Koller, D; Schuurmans, D; Bengio, Y; Bottou, L, NIPS (2008), pp. 1033-1040, Curran Associates, Inc. [advances-in-neural-information-processing-systems-21-2008] .
  383. Rother, D; Sapiro, G; Pande, V, Statistical Characterization of Protein Ensembles., IEEE ACM Trans. Comput. Biol. Bioinform., vol. 5 (2008), pp. 42-55 [doi] .
  384. Rother, D; Patwardhan, KA; Sapiro, G, What can casual walkers tell us about a 3D scene?, Proceedings of the IEEE International Conference on Computer Vision (December, 2007), IEEE [doi]  [abs].
  385. Bai, X; Sapiro, G, A geodesic framework for fast interactive image and video segmentation and matting, Proceedings of the IEEE International Conference on Computer Vision (December, 2007), IEEE [doi]  [abs].
  386. Haro, G; Randall, G; Sapiro, G, Stratification learning: Detecting mixed density and dimensionality in high dimensional point clouds, Advances in Neural Information Processing Systems (December, 2007), pp. 553-560  [abs].
  387. Bar, L; Rumpf, M; Berkels, B; Sapiro, G, A variational framework for simultaneous motion estimation and restoration of motion-blurred video, Proceedings of the IEEE International Conference on Computer Vision (December, 2007), IEEE [doi]  [abs].
  388. Duarte-Carvajalino, JM; Sapiro, G; Vélez-Reyes, M; Castillo, P, Fast multi-scale regularization and segmentation of hyperspectral imagery via anisotropic diffusion and Algebraic Multigrid solvers, Proceedings of SPIE the International Society for Optical Engineering, vol. 6565 (November, 2007), SPIE [doi]  [abs].
  389. Haro, G; Randall, G; Sapiro, G, Regularized mixed dimensionality and density learning in computer vision, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (October, 2007), IEEE [doi]  [abs].
  390. Arias, P; Randall, G; Sapiro, G, Connecting the out-of-sample and pre-image problems in Kernel methods, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (October, 2007), IEEE [doi]  [abs].
  391. Moenning, C; Mémoli, F; Sapiro, G; Dyn, N; Dodgson, NA, Meshless geometric subdivision, Graphical Models, vol. 69 no. 3-4 (May, 2007), pp. 160-179, Elsevier BV [doi]  [abs].
  392. Kao, C-Y; Hofer, M; Sapiro, G; Stem, J; Rehm, K; Rottenberg, DA, A geometric method for automatic extraction of sulcal fundi., IEEE transactions on medical imaging, vol. 26 no. 4 (April, 2007), pp. 530-540 [17427740], [doi]  [abs].
  393. Protiere, A; Sapiro, G, Interactive image segmentation via adaptive weighted distances., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 16 no. 4 (April, 2007), pp. 1046-1057 [17405436], [doi]  [abs].
  394. Mohan, A; Sapiro, G; Bosch, E, Spatially coherent nonlinear dimensionality reduction and segmentation of hyperspectral images, IEEE Geoscience and Remote Sensing Letters, vol. 4 no. 2 (April, 2007), pp. 206-210, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  395. Patwardhan, KA; Sapiro, G; Bertalmío, M, Video inpainting under constrained camera motion., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 16 no. 2 (February, 2007), pp. 545-553 [17269646], [doi]  [abs].
  396. Bartesaghi, A; Sprechmann, P; Randall, G; Sapiro, G; Subramaniam, S, A framework for classification and averaging of 3D tomographic volumes, BIOPHYSICAL JOURNAL (January, 2007), pp. 509A-509A, BIOPHYSICAL SOCIETY [Gateway.cgi] .
  397. Xue, B; Guillermo, S, Distancecut: Interactive segmentation and matting of images and videos, Proceedings International Conference on Image Processing Icip, vol. 2 (January, 2007), pp. 249-252, IEEE [doi]  [abs].
  398. Patwardhan, KA; Sapiro, G; Morellas, V, A graph-based foreground representation and its application in example based people matching in video, Proceedings International Conference on Image Processing Icip, vol. 5 (January, 2007), pp. V37-V40, IEEE [doi]  [abs].
  399. Bartesaghi, A; Sprechmann, P; Randall, G; Sapiro, G; Subramaniam, S, Classification, averaging and reconstruction of macromolecules in electron tomography, 2007 4th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings (January, 2007), pp. 244-247, IEEE [doi]  [abs].
  400. Aganj, I; Bartesaghi, A; Borgnia, M; Liao, HY; Sapiro, G; Subramaniam, S, Regularization for inverting the radon transform with wedge consideration, 2007 4th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings (January, 2007), pp. 217-220, IEEE [doi]  [abs].
  401. Narasimha, R; Aganj, I; Borgnia, M; Sapiro, G; McLaughlin, S; Milne, J; Subramaniam, S, From gigabytes to bytes: Automated denoising and feature identification in electron tomograms of intact bacterial cells, 2007 4th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings (January, 2007), pp. 304-307, IEEE [doi]  [abs].
  402. Sundaramoorthi, G; Yezzi, A; Mennucci, AC; Sapiro, G, New possibilities with Sobolev active contours, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 4485 LNCS (January, 2007), pp. 153-164 [doi]  [abs].
  403. Mairal, J; Sapiro, G; Elad, M, Multiscale sparse image representation with learned dictionaries, 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 (2007), pp. 1233-+ [Gateway.cgi] .
  404. Sapiro, G, I never learned to write - The paths of creation, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 168 (2007), pp. 12-+ [Gateway.cgi] .
  405. Bai, X; Sapiro, G, Distancecut: Interactive segmentation and matting of images and videos, 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 (2007), pp. 813-816 [Gateway.cgi] .
  406. Sapiro, G, The artistic vocation between donation and self-donation, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 168 (2007), pp. 4-11 [Gateway.cgi] .
  407. Patwardhan, KA; Sapiro, G; Morellas, V, A graph-based foreground representation and its application in example based people matching in video, 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 (2007), pp. 2289-+ [Gateway.cgi] .
  408. Sapiro, G, The ideology of the donation, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 168 (2007), pp. 31-33 [Gateway.cgi] .
  409. Rother, D; Patwardhan, KA; Sapiro, G, What Can Casual Walkers Tell Us About A 3D Scene?, 2007 IEEE 11th International Conference on Computer Vision, vol. 212 (2007), pp. 1-8, IEEE [mostRecentIssue.jsp], [doi] .
  410. Bertalmío, M; Caselles, V; Haro, G; Sapiro, G, PDE-based image and surface inpainting (December, 2006), pp. 33-61, Springer Verlag [doi]  [abs].
  411. Hofer, M; Sapiro, G; Wallner, J, Fair polyline networks for constrained smoothing of digital terrain elevation data, IEEE Transactions on Geoscience and Remote Sensing, vol. 44 no. 10 (December, 2006), pp. 2983-2990, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  412. Mairal, J; Sapiro, G; Elad, M, Multiscale sparse image representation with learned dictionaries, Proceedings International Conference on Image Processing Icip, vol. 3 (December, 2006), pp. III105-III108, IEEE [doi]  [abs].
  413. Sapiro, G, JANE F. FULCHER. The Composer as Intellectual: Music and Ideology in France 1914-1940. New York: Oxford University Press. 2005. Pp. xiv, 473. $74.00, The American Historical Review, vol. 111 no. 4 (October, 2006), pp. 1261-1262, Oxford University Press (OUP) [Gateway.cgi], [doi] .
  414. Greer, JB; Bertozzi, AL; Sapiro, G, Fourth order partial differential equations on general geometries, Journal of Computational Physics, vol. 216 no. 1 (July, 2006), pp. 216-246, Elsevier BV [doi]  [abs].
  415. Lee, M; Lloyd, P; Zhang, X; Schallhorn, JM; Sugimoto, K; Leach, AG; Sapiro, G; Houk, KN, Shapes of antibody binding sites: qualitative and quantitative analyses based on a geomorphic classification scheme., The Journal of organic chemistry, vol. 71 no. 14 (July, 2006), pp. 5082-5092 [16808494], [doi]  [abs].
  416. Yatziv, L; Sapiro, G, Fast image and video colorization using chrominance blending., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 15 no. 5 (May, 2006), pp. 1120-1129 [16671293], [doi]  [abs].
  417. Rathi, Y; Olver, P; Sapiro, G; Tannenbaum, A, Affine invariant surface evolutions for 3D image segmentation, Proceedings of SPIE the International Society for Optical Engineering, vol. 6064 (April, 2006), SPIE [doi]  [abs].
  418. Yatziv, L; Bartesaghi, A; Sapiro, G, O(N) implementation of the fast marching algorithm, Journal of Computational Physics, vol. 212 no. 2 (March, 2006), pp. 393-399, Elsevier BV [doi]  [abs].
  419. Sapiro, G, Les professions intellectuelles entre l'État, l'entrepreneuriat et l'industrie, Le Mouvement Social, vol. n o 214 no. 1 (January, 2006), pp. 3-18, CAIRN [Gateway.cgi], [doi] .
  420. Hershkovitz, E; Sapiro, G; Tannenbaum, A; Williams, LD, Statistical analysis of RNA backbone., IEEE/ACM transactions on computational biology and bioinformatics, vol. 3 no. 1 (January, 2006), pp. 33-46 [17048391], [doi]  [abs].
  421. Mohan, A; Bartesaghi, A; Sapiro, G, Constrained regularization of digital terrain elevation data, IEEE Geoscience and Remote Sensing Letters, vol. 3 no. 1 (January, 2006), pp. 59-62, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  422. Kao, CY; Hofer, M; Sapiro, G; Stern, J; Rottenberg, DA, A geometric method for automatic extraction of sulcal fundi, 2006 3rd IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings, vol. 2006 (January, 2006), pp. 1168-1171 [doi]  [abs].
  423. Haro, G; Randall, G; Sapiro, G, Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds, Nips 2006 Proceedings of the 19th International Conference on Neural Information Processing Systems (January, 2006), pp. 553-560  [abs].
  424. Sapiro, G; Gobille, B, Proprietor or intellectual worker ? French writers in search for a status., MOUVEMENT SOCIAL no. 214 (2006), pp. 113-+ [Gateway.cgi] .
  425. Sapiro, G, The price of independence, QUINZAINE LITTERAIRE no. 919 (2006), pp. 6-8 [Gateway.cgi] .
  426. Sapiro, G, The composer as intellectual. Music and ideology in France (1914-1940), QUINZAINE LITTERAIRE no. 926 (2006), pp. 26-26 [Gateway.cgi] .
  427. Sapiro, G, Emigrants in New York. The French intellectuals in Manhattan (1940-1944)., MOUVEMENT SOCIAL no. 214 (2006), pp. 174-175 [Gateway.cgi] .
  428. Sapiro, G, Intellectuals. The genre in the history of intellectuals., MOUVEMENT SOCIAL no. 214 (2006), pp. 168-170 [Gateway.cgi] .
  429. Hershkovitz, E; Sapiro, G; Tannenbaum, AR; Williams, LD, Statistical Analysis of RNA Backbone., IEEE ACM Trans. Comput. Biol. Bioinform., vol. 3 (2006), pp. 33-46 [doi] .
  430. Breen, D; Kirby, M; Lefohn, A; Museth, K; Preusser, T; Sapiro, G; Whitaker, R, Level set and PDE methods for visualization, Proceedings of the IEEE Visualization Conference (December, 2005), pp. 125, IEEE [doi]  [abs].
  431. Sapiro, G, Inpainting the colors, Proceedings International Conference on Image Processing Icip, vol. 2 (December, 2005), pp. 698-701, IEEE [doi]  [abs].
  432. Bartesaghi, A; Sapiro, G, Tracking of moving objects under severe and total occlusions, Proceedings International Conference on Image Processing Icip, vol. 1 (December, 2005), pp. 301-304, IEEE [doi]  [abs].
  433. Patwardhan, KA; Sapiro, G; Benalmio, M, Video inpainting of occluding and occluded objects, Proceedings International Conference on Image Processing Icip, vol. 2 (December, 2005), pp. 69-72, IEEE [doi]  [abs].
  434. Martín, A; Sapiro, G; Seroussi, G, Is image steganography natural?, IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 14 no. 12 (December, 2005), pp. 2040-2050 [16370457], [doi]  [abs].
  435. Mahmoudi, M; Sapiro, G, Fast image and video denoising via nonlocal means of similar neighborhoods, IEEE Signal Processing Letters, vol. 12 no. 12 (December, 2005), pp. 839-842, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  436. Mémoli, F; Sapiro, G, Distance functions and geodesics on submanifolds of ℝ d and point clouds, SIAM Journal on Applied Mathematics, vol. 65 no. 4 (September, 2005), pp. 1227-1260, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs].
  437. Bartesaghi, A; Sapiro, G; Subramaniam, S, An energy-based three-dimensional segmentation approach for the quantitative interpretation of electron tomograms., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 14 no. 9 (September, 2005), pp. 1314-1323 [16190467], [doi]  [abs].
  438. Bartesaghi, A; Sapiro, G; Malzbender, T; Gelb, D, Three-dimensional shape rendering from multiple images, Graphical Models, vol. 67 no. 4 (July, 2005), pp. 332-346, Elsevier BV [doi]  [abs].
  439. Mémoli, F; Sapiro, G, A theoretical and computational framework for isometry invariant recognition of point cloud data, Foundations of Computational Mathematics, vol. 5 no. 3 (July, 2005), pp. 313-347, Springer Nature [doi]  [abs].
  440. Bartesaghi, A; Sapiro, G, Tracking of moving objects under severe and total occlusions, 2005 International Conference on Image Processing (ICIP), Vols 1-5 (January, 2005), pp. 249-252, IEEE [Gateway.cgi] .
  441. Caselles, V; Kimmel, R; Sapiro, G, Geometric Active Contours for Image Segmentation (January, 2005), pp. 613-627, Elsevier [doi]  [abs].
  442. Sapiro, G, Inpainting the colors, 2005 International Conference on Image Processing (ICIP), Vols 1-5 (2005), pp. 1265-1268 [Gateway.cgi] .
  443. Patwardhan, KA; Sapiro, G; Bertalmio, M, Video inpainting of occluding and occluded objects, 2005 International Conference on Image Processing (ICIP), Vols 1-5 (2005), pp. 1593-1596 [Gateway.cgi] .
  444. Yatziv, L; Sapiro, G; Levoy, M, Lightfield completion, Proceedings International Conference on Image Processing Icip, vol. 3 (December, 2004), pp. 1787-1790, IEEE [doi]  [abs].
  445. Patwardhan, KA; Sapiro, G, Automatic image decomposition, Proceedings International Conference on Image Processing Icip, vol. 1 (December, 2004), pp. 645-648, IEEE [doi]  [abs].
  446. Mémoli, F; Sapiro, G, Comparing point clouds, ACM International Conference Proceeding Series, vol. 71 (December, 2004), pp. 32-40, ACM Press [doi]  [abs].
  447. Bartesaghi, A; Sapiro, G; Malzbender, T; Gelb, D, Non-photorealistic rendering from multiple images, Proceedings International Conference on Image Processing Icip, vol. 4 (December, 2004), pp. 2403-2406, IEEE [doi]  [abs].
  448. Niethammer, M; Betelu, S; Sapiro, G; Tannenbaum, A; Giblin, PJ, Area-Based Medial Axis of Planar Curves., International journal of computer vision, vol. 60 no. 3 (December, 2004), pp. 203-224 [doi]  [abs].
  449. Solé, A; Caselles, V; Sapiro, G; Arándiga, F, Morse description and geometric encoding of digital elevation maps., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 13 no. 9 (September, 2004), pp. 1245-1262 [15449586], [doi]  [abs].
  450. Tsai, YHR; Cheng, LT; Osher, S; Burchard, P; Sapiro, G, Visibility and its dynamics in a PDE based implicit framework, Journal of Computational Physics, vol. 199 no. 1 (September, 2004), pp. 260-290, Elsevier BV [doi]  [abs].
  451. Breen, D; Fedkiw, R; Museth, K; Osher, S; Sapiro, G; Whitaker, R, Level set and PDE methods for computer graphics, ACM SIGGRAPH 2004 Course Notes SIGGRAPH 2004 (August, 2004), ACM Press [doi]  [abs].
  452. Sapiro, G, Das französische literarische Feld: Struktur, Dynamik und Formen der Politisierung, Berliner Journal für Soziologie, vol. 14 no. 2 (June, 2004), pp. 157-171, Springer Science and Business Media LLC [Gateway.cgi], [doi] .
  453. Mémoli, F; Sapiro, G; Osher, S, Solving variational problems and partial differential equations mapping into general target manifolds, Journal of Computational Physics, vol. 195 no. 1 (March, 2004), pp. 263-292, Elsevier BV [doi]  [abs].
  454. Caselles, V; Sapiro, G; Solé, A; Ballester, C, Morse description and morphological encoding of continuous data, Multiscale Modeling and Simulation, vol. 2 no. 2 (January, 2004), pp. 179-209, Society for Industrial & Applied Mathematics (SIAM) [Gateway.cgi], [doi]  [abs].
  455. Mémoli, F; Sapiro, G; Thompson, P, Implicit brain imaging., NeuroImage, vol. 23 Suppl 1 (January, 2004), pp. S179-S188 [15501087], [doi]  [abs].
  456. Bartesaghi, A; Sapiro, G; Lee, S; Lefman, J; Wahl, S; Orenstein, J; Subramaniam, S, A new approach for 3D segmentation of cellular tomograms obtained using three-dimensional electron microscopy, 2004 2nd IEEE International Symposium on Biomedical Imaging Macro to Nano, vol. 1 (January, 2004), pp. 5-8 [doi]  [abs].
  457. Solé, A; Caselles, V; Sapiro, G; Arándiga, F, Morse description and geometric encoding of digital elevation maps, FREE BOUNDARY PROBLEMS: THEORY AND APPLICATIONS, vol. 147 (2004), pp. 303-312 [Gateway.cgi] .
  458. Verdera, J; Caselles, V; Bertalmio, M; Sapiro, G, Inpainting surface holes, IEEE International Conference on Image Processing, vol. 2 (December, 2003), pp. 903-906  [abs].
  459. Pichon, E; Niethammer, M; Sapiro, G, Color histogram equalization through mesh deformation, IEEE International Conference on Image Processing, vol. 2 (December, 2003), pp. 117-120  [abs].
  460. Solé, A; Caselles, V; Sapiro, G; Arándiga, F, Morse description and geometric encoding of DEM data, IEEE International Conference on Image Processing, vol. 2 (December, 2003), pp. 235-238  [abs].
  461. Bertalmio, M; Vese, L; Sapiro, G; Osher, S, Image filling-in in a decomposition space, IEEE International Conference on Image Processing, vol. 1 (December, 2003), pp. 853-855  [abs].
  462. Patwardhan, KA; Sapiro, G, Projection based image and video inpainting using wavelets, IEEE International Conference on Image Processing, vol. 1 (December, 2003), pp. 857-860  [abs].
  463. Sapiro, G, Forms of politicization in the French literary field, Theory and Society, vol. 32 no. 5-6 (December, 2003), pp. 633-652, Springer Science and Business Media LLC [Gateway.cgi], [doi] .
  464. Sapiro, G, Introduction to Partial Differential Equations and Variational Formulations in Image Processing, Handbook of Numerical Analysis, vol. 11 (December, 2003), pp. 383-461, Elsevier [doi] .
  465. Sapiro, G, The literary field between the state and the market, Poetics, vol. 31 no. 5-6 (October, 2003), pp. 441-464, Elsevier BV [Gateway.cgi], [doi] .
  466. Gorla, G; Interrante, V; Sapiro, G, Texture Synthesis for 3D Shape Representation, IEEE Transactions on Visualization and Computer Graphics, vol. 9 no. 4 (October, 2003), pp. 512-524, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  467. Hernandez, M; Barrena, R; Hernandez, G; Sapiro, G; Frangi, AF, Pre-clinical evaluation of Implicit Deformable Models for three-dimensional segmentation of brain aneurysms in CTA, Proceedings of SPIE the International Society for Optical Engineering, vol. 5032 II (September, 2003), pp. 1264-1274, SPIE [doi]  [abs].
  468. Fedkiw, RP; Sapiro, G; Shu, CW, Shock capturing, level sets, and PDE based methods in computer vision and image processing: A review of Osher's contributions, Journal of Computational Physics, vol. 185 no. 2 (March, 2003), pp. 309-341, Elsevier BV [doi]  [abs].
  469. Sapiro, GR, Guest editorial: Introduction to the special issue on imaging science, Journal of Mathematical Imaging and Vision, vol. 18 no. 1 (January, 2003), pp. 5 [doi] .
  470. Hernandez, M; Frangi, AF; Sapiro, G, Three-dimensional segmentation of brain aneurysms in CTA using non-parametric region-based information and implicit deformable models: Method and evaluation, Lecture Notes in Computer Science, vol. 2879 no. PART 2 (January, 2003), pp. 594-602 [doi]  [abs].
  471. Pardo, A; Sapiro, G, Visualization of high dynamic range images., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 12 no. 6 (January, 2003), pp. 639-647 [18237938], [doi]  [abs].
  472. Rane, SD; Sapiro, G; Bertalmio, M, Structure and texture filling-in of missing image blocks in wireless transmission and compression applications., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 12 no. 3 (January, 2003), pp. 296-303 [18237909], [doi]  [abs].
  473. Bertalmio, M; Vese, L; Sapiro, G; Osher, S, Simultaneous structure and texture image inpainting., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 12 no. 8 (January, 2003), pp. 882-889 [18237962], [doi]  [abs].
  474. Pichon, E; Sapiro, G; Tannenbaum, A, Segmentation of diffusion tensor imagery, DIRECTIONS IN MATHEMATICAL SYSTEMS THEORY AND OPTIMIZATION, vol. 286 (2003), pp. 239-247 [Gateway.cgi] .
  475. Bertalmio, M; Vese, L; Sapiro, G; Osher, S, Simultaneous structure and texture image inpainting, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2 (2003), pp. II/707-II/712  [abs].
  476. Interrante, V; Gorla, G; Kim, S; Hagh-Shenas, H; Sapiro, G, Texture synthesis for 3D shape representation, Journal of Vision, vol. 2 no. 7 (December, 2002), pp. 305, Association for Research in Vision and Ophthalmology (ARVO) [doi]  [abs].
  477. Sapiro, G, The structure of the French literary field during the German Occupation (1940–1944), Poetics, vol. 30 no. 5-6 (October, 2002), pp. 387-402, Elsevier BV [Gateway.cgi], [doi] .
  478. Sapiro, G; Lebovics, H, Mona Lisa's Escort. Andre Malraux and the Reinvention of French Culture, Le Mouvement social no. 201 (October, 2002), pp. 104-104, JSTOR [Gateway.cgi], [doi] .
  479. Faugeras, O; Perona, P; Sapiro, G, Special issue on partial differential equations in image processing, computer vision, and computer graphics, Journal of Visual Communication and Image Representation, vol. 13 no. 1-2 (January, 2002), pp. 1-2, Elsevier BV [doi] .
  480. Rane, SD; Remus, J; Sapiro, G, Wavelet-domain reconstruction of lost blocks in wireless image transmission and packet-switched networks, IEEE International Conference on Image Processing, vol. 1 (January, 2002), pp. I/312  [abs].
  481. Rane, SD; Sapiro, G; Bertalmio, M, Structure and texture filling-in of missing image blocks in wireless transmission and compression, IEEE International Conference on Image Processing, vol. 1 (January, 2002), pp. I/320  [abs].
  482. Pardo, A; Sapiro, G, Visualization of high dynamic range images, IEEE International Conference on Image Processing, vol. 1 (January, 2002), pp. I/636  [abs].
  483. Bertalmío, M; Cheng, LT; Osher, S; Sapiro, G, Variational problems and partial differential equations on implicit surfaces, Journal of Computational Physics, vol. 174 no. 2 (December, 2001), pp. 759-780, Elsevier BV [doi]  [abs].
  484. Bertalmío, M; Bertozzi, AL; Sapiro, G, Navier-Stokes, fluid dynamics, and image and video inpainting, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1 (December, 2001), pp. I355-I362, IEEE Comput. Soc [doi]  [abs].
  485. Mémoli, F; Sapiro, G, Fast computation of weighted distance functions and geodesics on implicit hyper-surfaces, Journal of Computational Physics, vol. 173 no. 2 (November, 2001), pp. 730-764, Elsevier BV [doi]  [abs].
  486. Rane, SD; Sapiro, G, Evaluation of JPEG-LS, the new lossless and controlled-lossy still image compression standard, for compression of high-resolution elevation data, IEEE Transactions on Geoscience and Remote Sensing, vol. 39 no. 10 (October, 2001), pp. 2298-2306, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  487. Bartesaghi, A; Sapiro, G, A system for the generation of curves on 3D brain images., Human brain mapping, vol. 14 no. 1 (September, 2001), pp. 1-15 [11500986], [doi]  [abs].
  488. Betelu, S; Sapiro, G; Tannenbaum, A; Giblin, PJ, On the computation of the affine skeletons of planar curves and the detection of skew symmetry, Pattern Recognition, vol. 34 no. 5 (May, 2001), pp. 943-952, Elsevier BV [doi]  [abs].
  489. Pardo, A; Sapiro, G, Vector probability diffusion, IEEE Signal Processing Letters, vol. 8 no. 4 (April, 2001), pp. 106-109, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  490. Solé, AF; Ngan, SC; Sapiro, G; Hu, X; López, A, Anisotropic 2-D and 3-D averaging of fMRI signals., IEEE transactions on medical imaging, vol. 20 no. 2 (February, 2001), pp. 86-93 [11321593], [doi]  [abs].
  491. Solé, AF; López, A; Sapiro, G, Crease enhancement diffusion, Computer Vision and Image Understanding, vol. 84 no. 2 (January, 2001), pp. 241-248, Elsevier BV [doi]  [abs].
  492. Bertalmió, M; Sapiro, G; Cheng, LT; Osher, S, Variational problems and PDEs on implicit surfaces, Proceedings IEEE Workshop on Variational and Level Set Methods in Computer Vision Vlsm 2001 (January, 2001), pp. 186-193, IEEE COMPUTER SOC [Gateway.cgi], [doi]  [abs].
  493. Betelu, S; Sapiro, G; Tannenbaum, A, Affine invariant erosion of 3D shapes, Proceedings of the IEEE International Conference on Computer Vision, vol. 2 (January, 2001), pp. 174-180, IEEE Comput. Soc [doi]  [abs].
  494. Ballester, C; Caselles, V; Verdera, J; Bertalmio, M; Sapiro, G, A variational model for filling-in gray level and color images, Proceedings of the IEEE International Conference on Computer Vision, vol. 1 (January, 2001), pp. 10-16  [abs].
  495. Haker, S; Sapiro, G; Tannenbaum, A; Washburn, D, Missile tracking using knowledge-based adaptive thresholding, IEEE International Conference on Image Processing, vol. 1 (January, 2001), pp. 786-789  [abs].
  496. Tang, B; Sapiro, G; Caselles, V, Color image enhancement via chromaticity diffusion., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 10 no. 5 (January, 2001), pp. 701-707 [18249660], [doi]  [abs].
  497. Ballester, C; Bertalmio, M; Caselles, V; Sapiro, G; Verdera, J, Filling-in by joint interpolation of vector fields and gray levels., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 10 no. 8 (January, 2001), pp. 1200-1211 [18255537], [doi]  [abs].
  498. Sapiro, G, Harmonic map flows and image processing, FOUNDATIONS OF COMPUTATIONAL MATHEMATICS, vol. 284 (2001), pp. 299-322 [Gateway.cgi] .
  499. Neoh, HS; Sapiro, G, Using anisotropic diffusion of probability maps for activity detection in block-design functional MRI, IEEE International Conference on Image Processing, vol. 1 (December, 2000), pp. 621-624  [abs].
  500. Chung, DH; Sapiro, G, Segmenting skin lesions with partial differential equations based image processing algorithms, IEEE International Conference on Image Processing, vol. 3 (December, 2000), pp. 404-407  [abs].
  501. Chung, DH; Sapiro, G, On the level lines and geometry of vector-valued images, IEEE Signal Processing Letters, vol. 7 no. 9 (September, 2000), pp. 241-243, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  502. Bertalmio, M; Sapiro, G; Caselles, V; Ballester, C, Image Inpainting, SIGGRAPH 2000 Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques (July, 2000), pp. 417-424 [doi]  [abs].
  503. Bertalmio, M; Sapiro, G; Randall, G, Morphing active contours, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22 no. 7 (July, 2000), pp. 733-737, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  504. Chung, DH; Sapiro, G, Segmenting skin lesions with partial-differential-equations-based image processing algorithms., IEEE transactions on medical imaging, vol. 19 no. 7 (July, 2000), pp. 763-767 [11055791], [doi]  [abs].
  505. Faugeras, O; Nielsen, M; Perona, P; Romeny, BTH; Sapiro, G, Special Issue on the Second International Conference on Scale Space Theory in Computer Vision, Journal of Visual Communication and Image Representation, vol. 11 no. 2 (June, 2000), pp. 95-95, Elsevier BV [Gateway.cgi], [doi] .
  506. Haker, S; Angenent, S; Tannenbaum, A; Kikinis, R; Sapiro, G; Halle, M, Conformal surface parameterization for texture mapping, IEEE Transactions on Visualization and Computer Graphics, vol. 6 no. 2 (April, 2000), pp. 181-189, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  507. Betelu, S; Sapiro, G; Tannenbaum, A; Giblin, PJ, Noise-resistant affine skeletons of planar curves, edited by Vernon, D, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 1842 (January, 2000), pp. 742-754, SPRINGER [html], [doi]  [abs].
  508. Caselles, V; Sapiro, G; Chung, DH, Vector median filters, inf-sup operations, and coupled PDE's: Theoretical connections, Journal of Mathematical Imaging and Vision, vol. 12 no. 2 (January, 2000), pp. 109-119 [doi]  [abs].
  509. Tang, B; Sapiro, G; Caselles, V, Diffusion of general data on non-flat manifolds via harmonic maps theory: The direction diffusion case, International Journal of Computer Vision, vol. 36 no. 2 (January, 2000), pp. 149-161 [doi]  [abs].
  510. Chung, DH; Sapiro, G, Segmentation-free skeletonization of gray-scale images via PDE's, IEEE International Conference on Image Processing, vol. 2 (January, 2000), pp. 927-930  [abs].
  511. Haker, S; Sapiro, G; Tannenbaum, A, Knowledge-based segmentation of SAR data with learned priors., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 9 no. 2 (January, 2000), pp. 299-301 [18255401], [doi]  [abs].
  512. Tang, B; Sapiro, G; Caselles, V, Chromaticity diffusion, IEEE International Conference on Image Processing, vol. 2 (January, 2000), pp. 784-787, IEEE [doi]  [abs].
  513. Weinberger, MJ; Seroussi, G; Sapiro, G, The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 9 no. 8 (January, 2000), pp. 1309-1324 [18262969], [doi]  [abs].
  514. Giblin, PJ; Sapiro, G, Affine versions of the symmetry set, REAL AND COMPLEX SINGULARITIES, vol. 412 (2000), pp. 173-187 [Gateway.cgi] .
  515. Pardo, A; Sapiro, G, Vector probability diffusion, IEEE International Conference on Image Processing, vol. 1 (2000), pp. 884-887  [abs].
  516. Sapiro, G, Color and illuminant voting, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21 no. 11 (December, 1999), pp. 1210-1215, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  517. Caselles, V; Sapiro, G; Chung, DH, Vector median filters, morphology, and PDE's: Theoretical connections, IEEE International Conference on Image Processing, vol. 4 (December, 1999), pp. 177-181  [abs].
  518. Weinberger, MJ; Seroussi, G; Sapiro, G, From LOCO-I to the JPEG-LS standard, IEEE International Conference on Image Processing, vol. 4 (December, 1999), pp. 68-72  [abs].
  519. Bertalmio, M; Sapiro, G; Randall, G, Region tracking on level-sets methods., IEEE transactions on medical imaging, vol. 18 no. 5 (May, 1999), pp. 448-451 [10416806], [doi]  [abs].
  520. Black, MJ; Sapiro, G, Edges as outliers: Anisotropic smoothing using local image statistics, edited by Nielsen, M; Johansen, P; Olsen, OF; Weickert, J, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 1682 (January, 1999), pp. 259-270, SPRINGER [html], [doi]  [abs].
  521. Bertalmio, M; Sapiro, G; Randall, G, Region tracking on surfaces deforming via level-sets methods, edited by Nielsen, M; Johansen, P; Olsen, OF; Weickert, J, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 1682 (January, 1999), pp. 330-338, SPRINGER [html], [doi]  [abs].
  522. Bertalmio, M; Sapiro, G; Randall, G, Morphing active contours, edited by Nielsen, M; Johansen, P; Olsen, OF; Weickert, J, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 1682 (January, 1999), pp. 46-53, SPRINGER [html], [doi]  [abs].
  523. Chung, DH; Sapiro, G, A windows-based user friendly system for image analysis with partial differential equations, edited by Nielsen, M; Johansen, P; Olsen, OF; Weickert, J, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 1682 (January, 1999), pp. 453-458, SPRINGER [html], [doi]  [abs].
  524. Caselles, V; Lisani, JL; Morel, JM; Sapiro, G, Shape preserving local histogram modification., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 8 no. 2 (January, 1999), pp. 220-230 [18267469], [doi]  [abs].
  525. Tang, B; Sapiro, G; Caselles, V, Direction diffusion, Proceedings of the IEEE International Conference on Computer Vision, vol. 2 (January, 1999), pp. 1245-1252, IEEE [doi]  [abs].
  526. Olver, PJ; Sapiro, G; Tannenbaum, A, Affine invariant detection: Edge maps, anisotropic diffusion, and active contours, Acta Applicandae Mathematicae, vol. 59 no. 1 (January, 1999), pp. 45-77 [doi]  [abs].
  527. Teo, PC; Sapiro, G; Wandell, BA, Anisotropic smoothing of posterior probabilities, DYNAMICAL SYSTEMS, CONTROL, CODING, COMPUTER VISION, vol. 25 (1999), pp. 419-432 [Gateway.cgi] .
  528. Vazquez, L; Sapiro, G; Randall, G, Segmenting neurons in electronic microscopy via geometric tracing, IEEE International Conference on Image Processing, vol. 3 (December, 1998), pp. 814-818  [abs].
  529. Haker, S; Sapiro, G; Tannenbaum, A, Knowledge-based segmentation of SAR images, IEEE International Conference on Image Processing, vol. 1 (December, 1998), pp. 597-601, IEEE Comput. Soc [doi]  [abs].
  530. Teo, PC; Sapiro, G; Wandell, B, Segmenting cortical gray matter for functional MRI visualization, Proceedings of the IEEE International Conference on Computer Vision (December, 1998), pp. 292-297, Narosa Publishing House [doi]  [abs].
  531. Sapiro, G, Bilinear voting, Proceedings of the IEEE International Conference on Computer Vision (December, 1998), pp. 178-183, Narosa Publishing House [doi]  [abs].
  532. Giblin, PJ; Sapiro, G, Affine invariant medial axis and skew symmetry, Proceedings of the IEEE International Conference on Computer Vision (December, 1998), pp. 833-838, Narosa Publishing House [doi]  [abs].
  533. Bertalmio, M; Sapiro, G; Randall, G, Morphing active contours: a geometric approach to topology-independent image segmentation and tracking, IEEE International Conference on Image Processing, vol. 3 (December, 1998), pp. 318-322  [abs].
  534. Weinberger, M; Seroussi, G; Sapiro, G, LOCO-I lossless image compression algorithm: Principles and standardization into JPEG-LS no. HPL-98-193 (November, 1998), pp. 1-31  [abs].
  535. Caselles, V; Morel, J, Introduction to the special issue on partial differential equations and geometry-driven diffusion in image processing and analysis., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 7 no. 3 (January, 1998), pp. 269-273 [Gateway.cgi], [doi] .
  536. Angenent, S; Sapiro, G; Tannenbaum, A, On the affine heat equation for non-convex curves, Journal of the American Mathematical Society, vol. 11 no. 3 (January, 1998), pp. 601-634 [doi] .
  537. Black, MJ; Sapiro, G; Marimont, DH; Heeger, D, Robust anisotropic diffusion., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 7 no. 3 (January, 1998), pp. 421-432 [18276262], [doi]  [abs].
  538. Giblin, PJ; Sapiro, G, Affine-Invariant Distances, Envelopes and Symmetry Sets, Geometriae Dedicata, vol. 71 no. 3 (January, 1998), pp. 237-261 [doi]  [abs].
  539. Caselles, V; Kimmel, R; Sapiro, G; Sbert, C, Minimal surfaces based object segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19 no. 4 (December, 1997), pp. 394-398, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  540. Teo, PC; Sapiro, G; Wandell, BA, Creating connected representations of cortical gray matter for functional MRI visualization., IEEE transactions on medical imaging, vol. 16 no. 6 (December, 1997), pp. 852-863 [9533585], [doi]  [abs].
  541. Black, M; Sapiro, G; Marimont, D; Heeger, D, Robust anisotropic diffusion and sharpening of scalar and vector images, IEEE International Conference on Image Processing, vol. 1 (December, 1997), pp. 263-266, IEEE Comput. Soc [doi]  [abs].
  542. Caselles, V; Lisani, JL; Morel, JM; Sapiro, G, Shape preserving local contrast enhancement, IEEE International Conference on Image Processing, vol. 1 (December, 1997), pp. 314-317, IEEE Comput. Soc [doi]  [abs].
  543. Teo, PC; Sapiro, G; Wandell, BA, Anisotropic smoothing of posterior probabilities, IEEE International Conference on Image Processing, vol. 1 (December, 1997), pp. 675-678, IEEE Comput. Soc [doi]  [abs].
  544. Ringach, DL; Sapiro, G; Shapley, R, A subspace reverse-correlation technique for the study of visual neurons., Vision research, vol. 37 no. 17 (September, 1997), pp. 2455-2464 [9381680], [doi]  [abs].
  545. Sapiro, G; Simonin, A, Les Editions de Minuit 1942-1955. Le devoir d'insoumission, Le Mouvement social no. 180 (July, 1997), pp. 244-244, JSTOR [Gateway.cgi], [doi] .
  546. Sapiro, G, Les conditions professionnelles d'une mobilisation reussie: le Comite national des ecrivains, Le Mouvement social no. 180 (July, 1997), pp. 179-179, JSTOR [Gateway.cgi], [doi] .
  547. Sapiro, G; Caselles, V, Histogram Modification via Differential Equations, Journal of Differential Equations, vol. 135 no. 2 (April, 1997), pp. 238-268, Elsevier BV [doi]  [abs].
  548. Caselles, V; Lisani, JL; Morel, JM; Sapiro, G, Shape preserving local histogram modification no. 97-58 (April, 1997), pp. 1-20  [abs].
  549. Pollick, FE; Sapiro, G, Constant affine velocity predicts the 1/3 power law of planar motion perception and generation., Vision research, vol. 37 no. 3 (February, 1997), pp. 347-353 [9135867], [doi]  [abs].
  550. Sapiro, G; Cohen, A; Bruckstein, AM, A Subdivision Scheme for Continuous-Scale B-Splines and Affine-Invariant Progressive Smoothing, Journal of Mathematical Imaging and Vision, vol. 7 no. 1 (January, 1997), pp. 23-40 [doi]  [abs].
  551. Teo, PC; Sapiro, G; Wandell, BA, Anatomically consistent segmentation of the human cortex for functional MRI visualization, HP Laboratories Technical Report no. 97-3 (January, 1997), pp. 1-21  [abs].
  552. Olver, PJ; Sapiro, G; Tannenbaum, A, Invariant geometric evolutions of surfaces and volumetric smoothing, SIAM Journal on Applied Mathematics, vol. 57 no. 1 (January, 1997), pp. 176-194, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs].
  553. Caselles, V; Kimmel, R; Sapiro, G; Sbert, C, Minimal surfaces: A geometric three dimensional segmentation approach, Numerische Mathematik, vol. 77 no. 4 (January, 1997), pp. 423-451, Springer Nature [doi]  [abs].
  554. Sapiro, G, Color Snakes, Computer Vision and Image Understanding, vol. 68 no. 2 (January, 1997), pp. 247-253, Elsevier BV [doi]  [abs].
  555. Sapiro, G; Caselles, V, Contrast Enhancement via Image Evolution Flows, Graphical Models and Image Processing, vol. 59 no. 6 (January, 1997), pp. 407-416, Elsevier BV [doi]  [abs].
  556. Caselles, V; Kimmel, R; Sapiro, G, Geodesic Active Contours, International Journal of Computer Vision, vol. 22 no. 1 (January, 1997), pp. 61-79 [doi]  [abs].
  557. Black, MJ; Sapiro, G; Marimont, D; Heeger, D, Robust anisotropic diffusion: Connections between robust statistics, line processing, and anisotropic diffusion, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 1252 (January, 1997), pp. 323-326 [doi]  [abs].
  558. Sapiro, G, The Vichy government - French - Baruch,MO, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 119 (1997), pp. 71-71 [Gateway.cgi] .
  559. Sapiro, G, 'Alea' - French - Kjaerstad,J, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 118 (1997), pp. 5-5 [Gateway.cgi] .
  560. Black, MJ; Sapiro, G; Marimont, D; Heeger, D, Robust anisotropic diffusion: Connections between robust statistics, line processing, and anisotropic diffusion, edited by Romeny, BMTH; Florack, L; Koenderink, JJ; Viergever, MA, SCALE-SPACE THEORY IN COMPUTER VISION, vol. 1252 (1997), pp. 323-326, SPRINGER [html], [doi]  [abs].
  561. Sapiro, G, From active contours to anisotropic diffusion: Connections between basic PDE's in image processing, IEEE International Conference on Image Processing, vol. 1 (December, 1996), pp. 477-480  [abs].
  562. Sapiro, G, Vector (self) snakes: A geometric framework for color, texture, and multiscale image segmentation, IEEE International Conference on Image Processing, vol. 1 (December, 1996), pp. 817-820  [abs].
  563. Giblin, PJ; Sapiro, G, Affine invariant distances, envelopes and symmetry sets, HP Laboratories Technical Report no. 96-93 (June, 1996), pp. 2-30  [abs].
  564. Ringach, DL; Sapiro, G; Shapley, R, A simple reverse correlation scheme for the identification of visual neurons, Investigative Ophthalmology and Visual Science, vol. 37 no. 3 (February, 1996), pp. S904  [abs].
  565. Caselles, V; Kimmel, R; Sapiro, G; Sbert, C, Three dimensional object modeling via minimal surfaces, edited by Buxton, BF; Cipolla, R, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 1064 (January, 1996), pp. 97-106, SPRINGER [html], [doi]  [abs].
  566. Weinberger, MJ; Seroussi, G; Sapiro, G, LOCO-I: a low complexity, context-based, lossless image compression algorithm, Data Compression Conference Proceedings (January, 1996), pp. 140-149, IEEE Comput. Soc. Press [doi]  [abs].
  567. Sapiro, G, Vector-valued active contours, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (January, 1996), pp. 680-685, IEEE [doi]  [abs].
  568. Sapiro, G; Ringach, DL, Anisotropic diffusion of color images, Proceedings of SPIE the International Society for Optical Engineering, vol. 2657 (January, 1996), pp. 471-482, SPIE [doi]  [abs].
  569. Olver, PJ; Sapiro, G; Tannenbaum, A, Affine invariant detection: edges, active contours, and segments, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (January, 1996), pp. 520-525, IEEE [doi]  [abs].
  570. Malladi, R; Kimmel, R; Adalsteinsson, D; Sapiro, G; Caselles, V; Sethian, JA, Geometric approach to segmentation and analysis of 3D medical images, Proceedings of the Workship on Mathematical Methods in Biomedical Image Analysis (January, 1996), pp. 244-252, IEEE [doi]  [abs].
  571. Sapiro, G; Ringach, DL, Anisotropic diffusion of multivalued images with applications to color filtering., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 5 no. 11 (January, 1996), pp. 1582-1586 [18290076], [doi]  [abs].
  572. Ringach, DL; Carandini, M; Sapiro, G; Shapley, R, Cortical circuitry revealed by reverse correlation in the orientation domain, PERCEPTION, vol. 25 (1996), pp. 31-31 [Gateway.cgi] .
  573. Sapiro, G, Mircea Eliade and the amnesia of history, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 114 (1996), pp. 5-5 [Gateway.cgi] .
  574. Sapiro, G, For reasons of literature - French literature during the occupation 1940-1944, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 111-12 (1996), pp. 3-& [Gateway.cgi] .
  575. Sapiro, G, Intellectuals in 19th-century Europe - Comparative history - French - Charle,C, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 115 (1996), pp. 107-107 [Gateway.cgi] .
  576. Ringach, DL; Sapiro, G; Shapley, R, A simple reverse correlation scheme for the identification of visual neurons, INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, vol. 37 no. 3 (1996), pp. 4178-4178 [Gateway.cgi] .
  577. Sapiro, G, Vichy and femininity - Political sociology of the order of bodies - French - MuelDreyfus,F, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 113 (1996), pp. 103-104 [Gateway.cgi] .
  578. Sapiro, G, Dans les soulevements - French - Vargaftig,B, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 114 (1996), pp. 13-13 [Gateway.cgi] .
  579. Sapiro, G, Boarded-up windows - French - Vona,A, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 114 (1996), pp. 3-3 [Gateway.cgi] .
  580. Sapiro, G, Economics and humanism - From public utopia to struggle for the Third World 1941-1996 - French - Pelletier,D, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 115 (1996), pp. 105-106 [Gateway.cgi] .
  581. Sapiro, G, Salvation through literature and literature of salvation - Two different paths of the Catholic novelists: Francois Mauriac and Henry Bordeaux, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 111-12 (1996), pp. 36-& [Gateway.cgi] .
  582. Sapiro, G, Geometric partial differential equations in image analysis: past, present, and future, IEEE International Conference on Image Processing, vol. 3 (December, 1995), pp. 1-4  [abs].
  583. Sapiro, G; Caselles, V, Histogram modification via partial differential equations, IEEE International Conference on Image Processing, vol. 3 (December, 1995), pp. 632-635  [abs].
  584. Sapiro, G; Caselles, V, An image evolution approach for contrast enhancement, Proceedings of SPIE the International Society for Optical Engineering, vol. 2567 (September, 1995), pp. 19-30, SPIE [Gateway.cgi], [doi]  [abs].
  585. Sapiro, G; Kimmel, R; Caselles, V, Object detection and measurements in medical images via geodesic deformable contours, Proceedings of SPIE the International Society for Optical Engineering, vol. 2573 (August, 1995), pp. 366-378, SPIE [Gateway.cgi], [doi]  [abs].
  586. Sapiro, G; Caselles, V, Simultaneous contrast improvement and denoising via diffusion related equations, Proceedings of SPIE the International Society for Optical Engineering, vol. 2573 (August, 1995), pp. 342-353, SPIE [Gateway.cgi], [doi]  [abs].
  587. Sapiro, G; Steel, J, Litteratures de l'ombre, Le Mouvement social no. 171 (April, 1995), pp. 109-109, JSTOR [Gateway.cgi], [doi] .
  588. Sapiro, G; Bruckstein, AM, The ubiquitous ellipse, Acta Applicandae Mathematicae, vol. 38 no. 2 (February, 1995), pp. 149-161, Springer Nature [doi]  [abs].
  589. Kimmel, R; Sapiro, G, Shortening three-dimensional curves via two-dimensional flows, Computers and Mathematics with Applications, vol. 29 no. 3 (January, 1995), pp. 49-62, Elsevier BV [doi]  [abs].
  590. Caselles, V; Kimmel, R; Sapiro, G, Geodesic active contours, IEEE International Conference on Computer Vision (January, 1995), pp. 694-699, IEEE Comput. Soc. Press [doi]  [abs].
  591. Tannenbaum, A; Sapiro, G, Area and Length Preserving Geometric Invariant Scale-Spaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17 no. 1 (January, 1995), pp. 67-72, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  592. Bruckstein, AM; Sapiro, G; Shaked, D, Evolutions of planar polygons, International Journal of Pattern Recognition and Artificial Intelligence, vol. 9 no. 6 (January, 1995), pp. 991-1014, World Scientific Pub Co Pte Lt [doi]  [abs].
  593. POLLICK, FE; SAPIRO, G, CONSTANT AFFINE VELOCITY AND THE GENERATION AND PERCEPTION OF UNIFORM PLANAR MOTION, INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, vol. 36 no. 4 (1995), pp. S360-S360 [Gateway.cgi] .
  594. Sapiro, G, Geometric invariant signatures and flows: Classification and applications in image analysis, Proceedings of SPIE the International Society for Optical Engineering, vol. 2277 (October, 1994), pp. 275-287, SPIE [Gateway.cgi], [doi]  [abs].
  595. Sapiro, G; Tannenbaum, A, Area and length preserving geometric invariant scale-spaces, edited by Eklundh, J-O, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, vol. 801 LNCS (January, 1994), pp. 449-458, SPRINGER [html], [doi]  [abs].
  596. Sapiro, G; Tannenbaum, A; You, YL; Kaveh, M, Experiments on geometric image enhancement, Proceedings International Conference on Image Processing Icip, vol. 2 (January, 1994), pp. 472-476, IEEE Comput. Soc. Press [mostRecentIssue.jsp], [doi]  [abs].
  597. Sapiro, G; Malah, D, Morphological image coding based on a geometric sampling theorem and a modified skeleton representation, Journal of Visual Communication and Image Representation, vol. 5 no. 1 (January, 1994), pp. 29-40, Elsevier BV [doi]  [abs].
  598. Sapiro, G; Tannenbaum, A, On affine plane curve evolution, Journal of Functional Analysis, vol. 119 no. 1 (January, 1994), pp. 79-120, Elsevier BV [doi]  [abs].
  599. SAPIRO, G; BRUCKSTEIN, AM, The ubiquitous ellipse, CURVES AND SURFACES IN GEOMETRIC DESIGN (1994), pp. 409-418 [Gateway.cgi] .
  600. OLVER, PJ; SAPIRO, G; TANNENBAUM, A, CLASSIFICATION AND UNIQUENESS OF INVARIANT GEOMETRIC FLOWS, COMPTES RENDUS DE L ACADEMIE DES SCIENCES SERIE I-MATHEMATIQUE, vol. 319 no. 4 (1994), pp. 339-344 [Gateway.cgi] .
  601. Sapiro, G; Tannenbaum, A, Affine invariant scale-space, International Journal of Computer Vision, vol. 11 no. 1 (August, 1993), pp. 25-44, Springer Nature [doi]  [abs].
  602. Sapiro, G; Kimmel, R; Shaked, D; Kimia, BB; Bruckstein, AM, Implementing continuous-scale morphology via curve evolution, Pattern Recognition, vol. 26 no. 9 (January, 1993), pp. 1363-1372, Elsevier BV [doi]  [abs].
  603. Sapiro, G; Tannenbaum, AR, Formulating invariant heat-type curve flows, Proceedings of SPIE the International Society for Optical Engineering, vol. 2031 (January, 1993), pp. 234-245, SPIE [doi]  [abs].
  604. SAPIRO, G; TANNENBAUM, A, On Invariant Curve Evolution and Image Analysis, INDIANA UNIVERSITY MATHEMATICS JOURNAL, vol. 42 no. 3 (1993), pp. 985-1009 [Gateway.cgi], [doi] .
  605. SAPIRO, G; TANNENBAUM, A, IMAGE SMOOTHING BASED ON AN AFFINE INVARIANT CURVE FLOW, PROCEEDINGS OF THE TWENTY-SEVENTH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS (1993), pp. 196-201 [Gateway.cgi] .
  606. SAPIRO, G, THE ACADEMIE-FRANCAISE AND THE ACADEMIE-GONCOURT DURING THE 1940S - FUNCTION AND OPERATION OF LITERARY INSTITUTIONS IN A PERIOD OF NATIONAL CRISIS, TEXTE-REVUE DE CRITIQUE ET DE THEORIE LITTERAIRE no. 12 (1992), pp. 151-196 [Gateway.cgi] .
  607. Sapiro, G; Malah, D, Morphological image coding via bit-plane decomposition and a new skeleton representation, Proceedings 17th Convention of Electrical and Electronics Engineers in Israel Eeis 1991 (January, 1991), pp. 174-177 [doi]  [abs].
  608. SAPIRO, G; MALAH, D, A GEOMETRIC SAMPLING THEOREM AND ITS APPLICATION IN MORPHOLOGICAL IMAGE-CODING, DIGITAL SIGNAL PROCESSING - 91 (1991), pp. 410-415 [Gateway.cgi] .
  609. Whitsel, BL; Petrucelli, LM; Sapiro, G; Ha, H, Fiber sorting in the fasciculus gracilis of squirrel monkeys., Experimental neurology, vol. 29 no. 2 (November, 1970), pp. 227-242 [4994110], [doi] .
  610. Whitsel, BL; Petrucelli, LM; Sapiro, G, Modality representation in the lumbar and cervical fasciculus gracilis of squirrel monkeys., Brain research, vol. 15 no. 1 (September, 1969), pp. 67-78 [4241233], [doi] .
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