Publications of Guillermo Sapiro

Papers Published

  1. 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
  2. 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
  3. 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)
  4. 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, ISBN 9783031452482
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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 (April, 2023)
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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, ISBN 9781450393522
  18. 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
  19. 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
  20. 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
  21. 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)
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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 transactions on affective computing, vol. 12 no. 3 (July, 2021), pp. 722-731, Institute of Electrical and Electronics Engineers (IEEE)
  27. 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
  28. 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, ISBN 9781665448994
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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, ISBN 9781728190778
  34. 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, ISBN 9781713845065
  35. 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)
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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, ISBN 9781728119908
  43. 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
  44. 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
  45. Giryes, R; Sapiro, G; Bronstein, AM, Erratum: Deep neural networks with random Gaussian weights: A universal classification strategy? (IEEE Transactions on Signal Processing (2016) 64:13 (3444-3457) DOI: 10.1109/TSP.2016.2546221), IEEE Transactions on Signal Processing, vol. 68 (January, 2020), pp. 529-531
  46. 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
  47. 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, ISBN 9781713821120
  48. 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)
  49. 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)
  50. 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)
  51. 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
  52. 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
  53. 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
  54. 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, ISBN 9781538662496
  55. 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)
  56. Cheng, X; Qiu, Q; Calderbank, R; Sapiro, G, RotDCF: Decomposition of convolutional filters for rotation-equivariant deep networks (May, 2019)
  57. 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
  58. 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
  59. 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
  60. 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
  61. 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
  62. 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
  63. 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)
  64. 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
  65. 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, ISBN 9781510886988
  66. 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
  67. 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
  68. 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
  69. 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
  70. 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, ISBN 9781538646588
  71. 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, ISBN 9781538646588
  72. 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
  73. 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)
  74. 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
  75. 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
  76. 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
  77. 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
  78. 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, ISBN 9781510614550
  79. 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
  80. 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
  81. 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
  82. 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
  83. 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
  84. 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
  85. 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
  86. 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, ISBN 9781538604571
  87. 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, ISBN 9781538604571
  88. 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, ISBN 9783319661810
  89. 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, ISBN 9781538615652
  90. 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)
  91. 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 (July, 2017), pp. 2564-2572, IEEE, ISBN 9781538610343
  92. 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 (July, 2017), pp. 2537-2544, IEEE, ISBN 9781538610343
  93. 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
  94. 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
  95. 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, ISBN 9781467389105
  96. 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
  97. 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)
  98. 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)
  99. 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
  100. 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)
  101. 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
  102. 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, ISBN 9781509021031
  103. 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)
  104. 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, ISBN 9781479999880
  105. 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)
  106. 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)
  107. 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, ISBN 9783319405414
  108. 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
  109. 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
  110. 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, ISBN 9781479983391
  111. 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, ISBN 9781479983391
  112. 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, ISBN 9781479983391
  113. 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
  114. 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), ISSN 1057-7149
  115. 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, ISBN 9781467369640
  116. 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
  117. 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, ISBN 9781467369978
  118. 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, ISSN 1945-7928, ISBN 9781479923748
  119. Lucas, JE; Sapiro, G, Cancer: What's luck got to do with it?, Significance, vol. 12 no. 2 (April, 2015), pp. 40-42, WILEY, ISSN 1740-9705
  120. 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
  121. 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, ISBN 9781467383912
  122. Qiu, Q; Sapiro, G, Learning transformations for clustering and classification, Journal of Machine Learning Research, vol. 16 (February, 2015), pp. 187-225
  123. 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, ISSN 1057-7149
  124. 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)
  125. 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, ISBN 9783319160412
  126. 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, ISBN 9783319245706
  127. 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
  128. 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, ISBN 9783319257501
  129. Qiu, Q; Sapiro, G; Bronstein, A, Random forests can hash, 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings (January, 2015)
  130. 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)
  131. 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)
  132. Qiu, Q; Sapiro, G; Bronstein, A, Random forests can hash, 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings (January, 2015)
  133. 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)
  134. 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
  135. 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), ISBN 1631900889
  136. 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, ISBN 9781479983391
  137. 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)
  138. 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, ISSN 1057-7149
  139. 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, ISSN 0740-3194
  140. 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, ISSN 1063-6919, ISBN 9781479951178
  141. 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, ISSN 2168-2194
  142. 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), ISSN 1431-9276
  143. 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, ISSN 1053-8119
  144. 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, ISSN 1544-9173
  145. 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, ISBN 9781479957514
  146. Qiu, Q; Sapiro, G, Learning Transformations, 2014 IEEE International Conference on Image Processing, ICIP 2014 (January, 2014), pp. 4008-4012, IEEE, ISBN 9781479957514
  147. Qiu, Q; Sapiro, G, Learning compressed image classification features, 2014 IEEE International Conference on Image Processing, ICIP 2014 (January, 2014), pp. 5761-5765, IEEE, ISBN 9781479957514
  148. 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, ISSN 1520-6149
  149. 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, ISSN 1520-6149
  150. 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
  151. 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
  152. Qiu, Q; Sapiro, G, Learning transformations for classification forests, 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings (January, 2014)
  153. 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)
  154. 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, ISBN 9783319024745
  155. 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)
  156. Qiu, Q; Sapiro, G, Learning transformations for classification forests, 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings (January, 2014)
  157. 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, ISBN 9788961058049
  158. 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, ISSN 2090-1925
  159. 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, ISSN 0302-9743
  160. 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, ISSN 2153-0858
  161. 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, ISSN 0302-9743
  162. 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, ISSN 1520-6149
  163. 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, ISSN 1520-6149
  164. 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
  165. 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
  166. 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
  167. 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
  168. Qiu, Q; Sapiro, G; Chen, C-H, Domain-invariant Face Recognition using Learned Low-rank Transformation, vol. abs/1308.0275 (August, 2013)
  169. Qiu, Q; Sapiro, G, Learning Robust Subspace Clustering, vol. abs/1308.0273 (August, 2013)
  170. 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
  171. 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)
  172. 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
  173. 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
  174. 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
  175. 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
  176. 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)
  177. 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
  178. 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), ISSN 1049-5258
  179. 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), ISSN 1049-5258
  180. 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)
  181. 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
  182. 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
  183. 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, ISSN 0006-3495
  184. 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, ISSN 0006-3495
  185. 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, ISSN 1662-4548
  186. 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, ISSN 1687-4188
  187. 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
  188. 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)
  189. 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
  190. 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
  191. 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, ISBN 9780615900650
  192. 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), ISBN 9781557529756
  193. Tang, Z; Tepper, M; Sapiro, G, Reflective Symmetry Detection by Rectifying Randomized Correspondences, Procedings of the British Machine Vision Conference 2013 (2013), British Machine Vision Association
  194. 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
  195. 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
  196. 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, ISSN 1049-5258
  197. Fiori, M; Musé, P; Sapiro, G, Topology constraints in graphical models, Advances in Neural Information Processing Systems, vol. 1 (December, 2012), pp. 791-799, ISSN 1049-5258
  198. 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
  199. 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, ISBN 9781467317375
  200. 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, ISBN 9781467349635
  201. 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, ISBN 9789727521449
  202. 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, ISBN 9781467311601
  203. 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
  204. 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
  205. 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)
  206. 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, ISSN 1520-6149
  207. 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, ISSN 1520-6149
  208. 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, ISSN 1520-6149
  209. 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, ISSN 1520-6149
  210. 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
  211. 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, ISSN 1063-6919
  212. 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, ISSN 0920-5691
  213. Sprechmann, P; Bronstein, AM; Sapiro, G, Learning Robust Low-Rank Representations, vol. abs/1209.6393 (September, 2012)
  214. 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
  215. 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)
  216. Tepper, M; Sapiro, G, L1 Splines for Robust, Simple, and Fast Smoothing of Grid Data, vol. abs/1208.2292 (August, 2012)
  217. 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), ISSN 0148-396X
  218. 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
  219. 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
  220. 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), ISSN 1053-587X
  221. 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, ISSN 2158-3978
  222. 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
  223. 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
  224. 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
  225. 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
  226. 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, ISSN 0264-8334
  227. 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), ISSN 1936-4954
  228. 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
  229. 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, ISBN 9781611972320
  230. 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, ISSN 1050-4729
  231. 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, ISSN 1945-7928
  232. 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, ISSN 1557-170X
  233. 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
  234. 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
  235. 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
  236. Sapiro, G, ON THE STATE Classes at College d eFrance, 1989-1992, QUINZAINE LITTERAIRE no. 1061 (2012), pp. 4-4, ISSN 0048-6493
  237. Bronstein, AM; Sprechmann, P; Sapiro, G, Learning Efficient Structured Sparse Models, CoRR, vol. abs/1206.4649 (2012)
  238. Ramírez, I; Sapiro, G, LOw-rank data modeling via the minimum description length principle., ICASSP (2012), pp. 2165-2168, IEEE, ISBN 978-1-4673-0046-9
  239. 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
  240. Duarte-Carvajalino, J; Sapiro, G; Yu, G; Carin, L, Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models, vol. abs/1112.5895 (December, 2011)
  241. Bar, L; Sapiro, G, Hierarchical invariant sparse modeling for image analysis, Proceedings - International Conference on Image Processing, ICIP (December, 2011), pp. 2397-2400, IEEE, ISSN 1522-4880
  242. 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), ISSN 1053-587X
  243. 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 (December, 2011), pp. 883-891, ISSN 1532-4435
  244. 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 (November, 2011), pp. 822-826, IEEE, ISSN 1945-7928
  245. 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 (November, 2011), pp. 516-519, IEEE, ISSN 1945-7928
  246. 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 (November, 2011), pp. 939-943, IEEE, ISSN 1945-7928
  247. 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 (November, 2011), pp. 305-309, IEEE, ISSN 1945-7928
  248. 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
  249. 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), ISSN 0196-2892
  250. 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
  251. 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
  252. 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, ISSN 1053-587X
  253. 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
  254. 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, ISSN 1520-6149
  255. 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, ISSN 1520-6149
  256. 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, ISSN 1520-6149
  257. 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, ISSN 1520-6149
  258. 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, ISSN 1520-6149
  259. 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
  260. 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, ISSN 0920-5691
  261. 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, ISSN 0920-5691
  262. 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), ISSN 0001-0782
  263. 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, ISSN 1945-7928
  264. 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)
  265. 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, ISSN 1053-5888
  266. 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), ISSN 1053-5888
  267. Sapiro, G, Should we choose to explain and understand? The interpretation of human actions, QUINZAINE LITTERAIRE no. 1043 (2011), pp. 28-28, ISSN 0048-6493
  268. 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, ISSN 0335-5322
  269. Sapiro, G, WHAT IS A FRENCH PHILOSOPHER? The social life of concepts (1880-1980), QUINZAINE LITTERAIRE no. 1034 (2011), pp. 21-21, ISSN 0048-6493
  270. Sprechmann, P; Ramírez, I; Cancela, P; Sapiro, G, Collaborative sources identification in mixed signals via hierarchical sparse modeling., ICASSP (2011), pp. 5816-5819, IEEE, ISBN 978-1-4577-0539-7
  271. Léger, F; Yu, G; Sapiro, G, Efficient matrix completion with Gaussian models., ICASSP (2011), pp. 1113-1116, IEEE, ISBN 978-1-4577-0539-7
  272. Yu, G; Sapiro, G, Statistical Compressed Sensing of Gaussian Mixture Models., IEEE Trans. Signal Process., vol. 59 (2011), pp. 5842-5858
  273. Yu, G; Sapiro, G, Statistical compressive sensing of Gaussian mixture models., ICASSP (2011), pp. 3728-3731, IEEE, ISBN 978-1-4577-0539-7
  274. 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, ISSN 1522-4880
  275. 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, ISSN 1522-4880
  276. 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, ISSN 1522-4880
  277. 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
  278. 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, ISSN 0920-5691
  279. 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, ISSN 1063-6919
  280. 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 (August, 2010), pp. 812-815, IEEE
  281. 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, ISSN 0304-422X
  282. 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
  283. 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
  284. 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
  285. 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, ISSN 1532-4435
  286. 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
  287. 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 (January, 2010), pp. S198-S198, Elsevier BV, ISSN 0891-5849
  288. 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)
  289. 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
  290. 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), ISSN 2169-9011
  291. 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, ISSN 1520-6149
  292. 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, ISSN 1520-6149
  293. 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, ISSN 0302-9743
  294. 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, ISSN 1557-170X
  295. 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), ISSN 0018-9219
  296. 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, ISSN 0335-5322
  297. 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, ISSN 0014-0767
  298. Sapiro, G; Kaniuk, Y, THE LAST JEW, QUINZAINE LITTERAIRE no. 1008 (2010), pp. 12-13, ISSN 0048-6493
  299. 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, ISSN 0335-5322
  300. Sprechmann, P; Ramírez, I; Sapiro, G; Eldar, YC, Collaborative hierarchical sparse modeling., CISS (2010), pp. 1-6, IEEE, ISBN 978-1-4244-7416-5
  301. 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
  302. Ramírez, I; Sapiro, G, Sparse coding and dictionary learning based on the MDL principle, CoRR, vol. abs/1010.4751 (2010)
  303. Ramírez, I; Sapiro, G, Universal Sparse Modeling, CoRR, vol. abs/1003.2941 (2010)
  304. Szlam, A; Sapiro, G, Discriminative k-metrics, Proceedings of the 26th International Conference On Machine Learning, ICML 2009 (December, 2009), pp. 1009-1016
  305. 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
  306. 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
  307. 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, ISSN 0277-786X
  308. 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, ISSN 0302-9743
  309. 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, ISSN 0302-9743
  310. 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, ISSN 0302-9743
  311. 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
  312. Szlam, A; Sapiro, G, Discriminative k-metrics, ACM International Conference Proceeding Series, vol. 382 (September, 2009), ACM Press
  313. 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
  314. 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, ISSN 0014-214X
  315. 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, ISSN 0920-5691
  316. 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), ISSN 0730-0301
  317. 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, ISSN 1057-7149
  318. 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
  319. 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
  320. 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, ISSN 0920-5691
  321. 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, ISSN 0010-9452
  322. 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
  323. 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
  324. 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
  325. 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, ISBN 9781424444205
  326. 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)
  327. 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
  328. 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, ISSN 1524-0703
  329. 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
  330. 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, ISSN 1522-4880
  331. 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
  332. 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
  333. Matonti, F; Sapiro, G, The commitment of intellectuals: new viewpoints, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 176-77 (2009), pp. 4-7, ISSN 0335-5322
  334. Sapiro, G, Intellectuals and politics: A Typology, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 176-77 (2009), pp. 8-+, ISSN 0335-5322
  335. 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, ISSN 1522-4880
  336. 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, ISSN 0920-5691
  337. 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
  338. 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
  339. 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
  340. 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
  341. 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
  342. Liao, HY; Sapiro, G, Sparse representations for limited data tomography, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI (September, 2008), pp. 1375-1378, IEEE
  343. 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 (September, 2008), pp. 1625-1628, IEEE
  344. 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 (September, 2008), pp. 887-890, IEEE
  345. 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
  346. 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, ISSN 1077-3142
  347. 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), ISSN 0196-2892
  348. Sapiro, G, Translation and the field of publishing, Translation Studies, vol. 1 no. 2 (July, 2008), pp. 154-166, Informa UK Limited, ISSN 1478-1700
  349. 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, ISSN 0277-786X
  350. 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
  351. 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
  352. 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, ISSN 1431-9268
  353. 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, ISSN 0162-8828
  354. 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)
  355. 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, ISSN 1545-5963
  356. 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, ISSN 1057-7149
  357. 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), ISSN 1540-3459
  358. 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, ISSN 1522-4880, ISBN 978-1-4244-1764-3
  359. 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.
  360. Rother, D; Sapiro, G; Pande, V, Statistical Characterization of Protein Ensembles., IEEE ACM Trans. Comput. Biol. Bioinform., vol. 5 (2008), pp. 42-55
  361. 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
  362. 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
  363. 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, ISSN 1049-5258
  364. 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
  365. 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 (November, 2007), pp. 244-247, IEEE
  366. 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 (November, 2007), pp. 217-220, IEEE
  367. 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 (November, 2007), pp. 304-307, IEEE
  368. 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, ISSN 0277-786X
  369. 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, ISSN 1063-6919
  370. 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, ISSN 1063-6919
  371. 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, ISSN 1524-0703
  372. 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, ISSN 0278-0062
  373. 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, ISSN 1057-7149
  374. 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), ISSN 1545-598X
  375. 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, ISSN 1057-7149
  376. 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, ISSN 0006-3495
  377. 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, ISSN 1522-4880
  378. 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, ISSN 1522-4880
  379. 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, ISSN 0302-9743
  380. 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-+, ISSN 1522-4880, ISBN 978-1-4244-1436-9
  381. Sapiro, G, I never learned to write - The paths of creation, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 168 (2007), pp. 12-+, ISSN 0335-5322
  382. 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, ISSN 1522-4880, ISBN 978-1-4244-1436-9
  383. Sapiro, G, The artistic vocation between donation and self-donation, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 168 (2007), pp. 4-11, ISSN 0335-5322
  384. 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-+, ISSN 1522-4880, ISBN 978-1-4244-1436-9
  385. Sapiro, G, The ideology of the donation, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 168 (2007), pp. 31-33, ISSN 0335-5322
  386. Rother, D; Patwardhan, KA; Sapiro, G, What Can Casual Walkers Tell Us About A 3D Scene?, 2007 IEEE 11th International Conference on Computer Vision (2007), pp. 1-8, IEEE, ISBN 9781424416301
  387. Bertalmío, M; Caselles, V; Haro, G; Sapiro, G, PDE-based image and surface inpainting (December, 2006), pp. 33-61, Springer Verlag
  388. 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)
  389. 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, ISSN 1522-4880
  390. 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 (November, 2006), pp. 1168-1171
  391. 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), ISSN 0002-8762
  392. 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, ISSN 0021-9991
  393. 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, ISSN 0022-3263
  394. 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, ISSN 1057-7149
  395. 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, ISSN 0277-786X
  396. 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
  397. 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, ISSN 0027-2671
  398. 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, ISSN 1545-5963
  399. 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), ISSN 1545-598X
  400. 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, ISBN 9780262195683
  401. Sapiro, G; Gobille, B, Proprietor or intellectual worker ? French writers in search for a status., MOUVEMENT SOCIAL no. 214 (2006), pp. 113-+, ISSN 0027-2671
  402. Sapiro, G, The price of independence, QUINZAINE LITTERAIRE no. 919 (2006), pp. 6-8, ISSN 0048-6493
  403. Sapiro, G, The composer as intellectual. Music and ideology in France (1914-1940), QUINZAINE LITTERAIRE no. 926 (2006), pp. 26-26, ISSN 0048-6493
  404. Sapiro, G, Emigrants in New York. The French intellectuals in Manhattan (1940-1944)., MOUVEMENT SOCIAL no. 214 (2006), pp. 174-175, ISSN 0027-2671
  405. Sapiro, G, Intellectuals. The genre in the history of intellectuals., MOUVEMENT SOCIAL no. 214 (2006), pp. 168-170, ISSN 0027-2671
  406. 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
  407. 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
  408. Sapiro, G, Inpainting the colors, Proceedings - International Conference on Image Processing, ICIP, vol. 2 (December, 2005), pp. 698-701, IEEE, ISSN 1522-4880
  409. 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, ISSN 1522-4880
  410. 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, ISSN 1522-4880
  411. 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, ISSN 1057-7149
  412. 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), ISSN 1070-9908
  413. 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), ISSN 0036-1399
  414. 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, ISSN 1057-7149
  415. 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
  416. 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, ISSN 1615-3375
  417. Caselles, V; Kimmel, R; Sapiro, G, Geometric Active Contours for Image Segmentation (January, 2005), pp. 613-627, Elsevier
  418. 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, ISSN 1522-4880, ISBN 0-7803-9134-9
  419. Sapiro, G, Inpainting the colors, 2005 International Conference on Image Processing (ICIP), Vols 1-5 (2005), pp. 1265-1268, ISSN 1522-4880, ISBN 0-7803-9134-9
  420. 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, ISSN 1522-4880, ISBN 0-7803-9134-9
  421. 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 (December, 2004), pp. 5-8
  422. Yatziv, L; Sapiro, G; Levoy, M, Lightfield completion, Proceedings - International Conference on Image Processing, ICIP, vol. 3 (December, 2004), pp. 1787-1790, IEEE, ISSN 1522-4880
  423. Patwardhan, KA; Sapiro, G, Automatic image decomposition, Proceedings - International Conference on Image Processing, ICIP, vol. 1 (December, 2004), pp. 645-648, IEEE, ISSN 1522-4880
  424. Mémoli, F; Sapiro, G, Comparing point clouds, ACM International Conference Proceeding Series, vol. 71 (December, 2004), pp. 32-40, ACM Press
  425. 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, ISSN 1522-4880
  426. 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
  427. 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, ISSN 1057-7149
  428. 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
  429. 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, ISBN 0111456789
  430. 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, ISSN 0863-1808
  431. 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
  432. 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), ISSN 1540-3459
  433. Mémoli, F; Sapiro, G; Thompson, P, Implicit brain imaging., NeuroImage, vol. 23 Suppl 1 (January, 2004), pp. S179-S188, ISSN 1053-8119
  434. 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, ISBN 3-7643-2193-8
  435. 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
  436. Verdera, J; Caselles, V; Bertalmio, M; Sapiro, G, Inpainting surface holes, IEEE International Conference on Image Processing, vol. 2 (December, 2003), pp. 903-906
  437. 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
  438. 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
  439. 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
  440. 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, ISSN 0304-2421
  441. 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, ISSN 1570-8659
  442. Sapiro, G, The literary field between the state and the market, Poetics, vol. 31 no. 5-6 (October, 2003), pp. 441-464, Elsevier BV, ISSN 0304-422X
  443. 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)
  444. 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
  445. 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
  446. 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
  447. 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, ISSN 0302-9743
  448. 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, ISSN 1057-7149
  449. 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, ISSN 1057-7149
  450. 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, ISSN 1057-7149
  451. Pichon, E; Sapiro, G; Tannenbaum, A, Segmentation of diffusion tensor imagery, DIRECTIONS IN MATHEMATICAL SYSTEMS THEORY AND OPTIMIZATION, vol. 286 (2003), pp. 239-247, ISSN 0170-8643
  452. 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
  453. 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. 305-305, Association for Research in Vision and Ophthalmology (ARVO)
  454. 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, ISSN 0304-422X
  455. 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, ISSN 0027-2671
  456. 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/309-I/312
  457. 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/317-I/320
  458. Pardo, A; Sapiro, G, Visualization of high dynamic range images, IEEE International Conference on Image Processing, vol. 1 (January, 2002), pp. I/633-I/636
  459. 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, ISSN 1047-3203
  460. 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, ISSN 0021-9991
  461. 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
  462. 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, ISSN 0021-9991
  463. 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), ISSN 0196-2892
  464. 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, ISSN 1065-9471
  465. 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, ISSN 0031-3203
  466. 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), ISSN 1070-9908
  467. 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, ISSN 0278-0062
  468. 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, ISBN 9780769512785
  469. 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
  470. 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
  471. 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
  472. 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, ISSN 1057-7149
  473. 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, ISSN 1057-7149
  474. 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, ISSN 1077-3142
  475. Sapiro, G, Harmonic map flows and image processing, FOUNDATIONS OF COMPUTATIONAL MATHEMATICS, vol. 284 (2001), pp. 299-322, ISSN 0076-0552, ISBN 0-521-00349-0
  476. 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
  477. 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. [d]404-[d]407
  478. 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), ISSN 1070-9908
  479. 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
  480. 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), ISSN 0162-8828
  481. 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, ISSN 0278-0062
  482. 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, ISSN 1047-3203
  483. 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), ISSN 1077-2626
  484. 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, ISBN 3540676856
  485. 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
  486. 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
  487. 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
  488. 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, ISSN 1057-7149
  489. Tang, B; Sapiro, G; Caselles, V, Chromaticity diffusion, IEEE International Conference on Image Processing, vol. 2 (January, 2000), pp. 784-787, IEEE
  490. 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, ISSN 1057-7149
  491. Giblin, PJ; Sapiro, G, Affine versions of the symmetry set, REAL AND COMPLEX SINGULARITIES, vol. 412 (2000), pp. 173-187, ISBN 1-58488-142-9
  492. Pardo, A; Sapiro, G, Vector probability diffusion, IEEE International Conference on Image Processing, vol. 1 (2000), pp. 884-887
  493. 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), ISSN 0162-8828
  494. 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
  495. 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
  496. 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, ISSN 0278-0062
  497. 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, ISBN 9783540664987
  498. 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, ISBN 9783540664987
  499. 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, ISBN 9783540664987
  500. 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, ISBN 9783540664987
  501. 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, ISSN 1057-7149
  502. 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
  503. 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
  504. Teo, PC; Sapiro, G; Wandell, BA, Anisotropic smoothing of posterior probabilities, DYNAMICAL SYSTEMS, CONTROL, CODING, COMPUTER VISION, vol. 25 (1999), pp. 419-432, ISBN 3-7643-6060-7
  505. 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
  506. 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
  507. 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
  508. Sapiro, G, Bilinear voting, Proceedings of the IEEE International Conference on Computer Vision (December, 1998), pp. 178-183, Narosa Publishing House
  509. 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
  510. 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
  511. 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
  512. 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, ISSN 1057-7149
  513. 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, ISSN 1057-7149
  514. Giblin, PJ; Sapiro, G, Affine-Invariant Distances, Envelopes and Symmetry Sets, Geometriae Dedicata, vol. 71 no. 3 (January, 1998), pp. 237-261
  515. 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
  516. 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), ISSN 0162-8828
  517. 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, ISSN 0278-0062
  518. 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
  519. 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
  520. 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
  521. 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, ISSN 0042-6989
  522. 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, ISSN 0027-2671
  523. 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, ISSN 0027-2671
  524. Sapiro, G; Caselles, V, Histogram Modification via Differential Equations, Journal of Differential Equations, vol. 135 no. 2 (April, 1997), pp. 238-268, Elsevier BV
  525. Caselles, V; Lisani, JL; Morel, JM; Sapiro, G, Shape preserving local histogram modification no. 97-58 (April, 1997), pp. 1-20
  526. 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, ISSN 0042-6989
  527. 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, ISBN 9783540631675
  528. 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, ISSN 0924-9907
  529. 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
  530. 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)
  531. 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
  532. Sapiro, G, Color Snakes, Computer Vision and Image Understanding, vol. 68 no. 2 (January, 1997), pp. 247-253, Elsevier BV
  533. 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
  534. Caselles, V; Kimmel, R; Sapiro, G, Geodesic Active Contours, International Journal of Computer Vision, vol. 22 no. 1 (January, 1997), pp. 61-79, ISSN 0920-5691
  535. Sapiro, G, The Vichy government - French - Baruch,MO, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 119 (1997), pp. 71-71, ISSN 0335-5322
  536. Sapiro, G, 'Alea' - French - Kjaerstad,J, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 118 (1997), pp. 5-5, ISSN 0335-5322
  537. 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, ISBN 9783540631675
  538. 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
  539. 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
  540. Giblin, PJ; Sapiro, G, Affine invariant distances, envelopes and symmetry sets, HP Laboratories Technical Report no. 96-93 (June, 1996), pp. 2-30
  541. 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, ISSN 0146-0404
  542. 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, ISBN 9783540611226
  543. 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
  544. 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
  545. 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, ISSN 0277-786X
  546. 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
  547. 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
  548. 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, ISSN 1057-7149
  549. 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, ISSN 0301-0066
  550. Sapiro, G, Mircea Eliade and the amnesia of history, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 114 (1996), pp. 5-5, ISSN 0335-5322
  551. 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-&, ISSN 0335-5322
  552. 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, ISSN 0335-5322
  553. 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, ISSN 0146-0404
  554. 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, ISSN 0335-5322
  555. Sapiro, G, Dans les soulevements - French - Vargaftig,B, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 114 (1996), pp. 13-13, ISSN 0335-5322
  556. Sapiro, G, Boarded-up windows - French - Vona,A, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 114 (1996), pp. 3-3, ISSN 0335-5322
  557. 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, ISSN 0335-5322
  558. 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-&, ISSN 0335-5322
  559. Sapiro, G; Caselles, V, Histogram modification via partial differential equations, IEEE International Conference on Image Processing, vol. 3 (December, 1995), pp. 632-635
  560. 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
  561. 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, ISBN 0-8194-1926-5
  562. 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, ISBN 0-8194-1932-X
  563. 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, ISBN 0-8194-1932-X
  564. Sapiro, G; Steel, J, Litteratures de l'ombre, Le Mouvement social no. 171 (April, 1995), pp. 109-109, JSTOR, ISSN 0027-2671
  565. Sapiro, G; Bruckstein, AM, The ubiquitous ellipse, Acta Applicandae Mathematicae, vol. 38 no. 2 (February, 1995), pp. 149-161, Springer Nature, ISSN 0167-8019
  566. Caselles, V; Kimmel, R; Sapiro, G, Geodesic active contours, IEEE International Conference on Computer Vision (January, 1995), pp. 694-699, IEEE Comput. Soc. Press
  567. 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)
  568. 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, ISSN 0898-1221
  569. 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, ISSN 0146-0404
  570. Bruckstein, AM; Sapiro, G; Shaked, D, Evolutions of planar polygons, International Journal of Pattern Recognition and Artificial Intelligence, vol. 9 no. 6 (1995), pp. 991-1014, World Scientific Pub Co Pte Lt
  571. 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, ISBN 0-8194-1601-0
  572. 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, ISBN 9783540579571
  573. 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, ISBN 0818669527
  574. 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, ISSN 1047-3203
  575. Sapiro, G; Tannenbaum, A, On affine plane curve evolution, Journal of Functional Analysis, vol. 119 no. 1 (January, 1994), pp. 79-120, Elsevier BV, ISSN 0022-1236
  576. SAPIRO, G; BRUCKSTEIN, AM, The ubiquitous ellipse, CURVES AND SURFACES IN GEOMETRIC DESIGN (1994), pp. 409-418, ISBN 1-56881-039-3
  577. 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, ISSN 0764-4442
  578. Sapiro, G; Tannenbaum, A, Affine invariant scale-space, International Journal of Computer Vision, vol. 11 no. 1 (August, 1993), pp. 25-44, Springer Nature, ISSN 0920-5691
  579. 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, ISSN 0031-3203
  580. 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
  581. SAPIRO, G; TANNENBAUM, A, On Invariant Curve Evolution and Image Analysis, INDIANA UNIVERSITY MATHEMATICS JOURNAL, vol. 42 no. 3 (1993), pp. 985-1009, ISSN 0022-2518
  582. 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
  583. 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, ISSN 0715-8920
  584. 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, ISBN 9780879426781
  585. SAPIRO, G; MALAH, D, A GEOMETRIC SAMPLING THEOREM AND ITS APPLICATION IN MORPHOLOGICAL IMAGE-CODING, DIGITAL SIGNAL PROCESSING - 91 (1991), pp. 410-415, ISBN 0-444-88890-X
  586. 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, ISSN 0014-4886
  587. 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, ISSN 0006-8993