Publications of Guillermo Sapiro

Papers Published

  1. Sapiro, G, 'Alea' - French - Kjaerstad,J, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 118 (1997), pp. 5-5, ISSN 0335-5322
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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)
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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)
  16. 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
  17. 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
  18. 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
  19. Passalacqua, P; Trung, TD; 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 (2010), American Geophysical Union (AGU), ISSN 2169-9011
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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)
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 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
  61. 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
  62. Giblin, PJ; Sapiro, G, Affine invariant distances, envelopes and symmetry sets, HP Laboratories Technical Report no. 96-93 (June, 1996), pp. 2-30
  63. 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
  64. 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
  65. 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
  66. 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
  67. 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
  68. Giblin, PJ; Sapiro, G, Affine-Invariant Distances, Envelopes and Symmetry Sets, Geometriae Dedicata, vol. 71 no. 3 (January, 1998), pp. 237-261
  69. 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
  70. 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
  71. 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
  72. 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
  73. 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
  74. 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
  75. 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
  76. 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
  77. 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
  78. 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
  79. 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
  80. 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
  81. 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
  82. 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
  83. 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)
  84. 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)
  85. 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
  86. 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
  87. 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
  88. 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
  89. 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
  90. Dawson, G; Campbell, K; Hashemi, J; Lippmann, SJ; Smith, V; Carpenter, K; Egger, H; Espinosa, S; Vermeer, S; Baker, J; Sapiro, G, Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder., Sci Rep, vol. 8 no. 1 (November, 2018), pp. 17008
  91. 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
  92. 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
  93. 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
  94. 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
  95. 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
  96. 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
  97. 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
  98. 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
  99. 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
  100. 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
  101. 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
  102. Sapiro, G, Bilinear voting, Proceedings of the IEEE International Conference on Computer Vision (December, 1998), pp. 178-183, Narosa Publishing House
  103. 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)
  104. 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
  105. 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
  106. Sapiro, G, Boarded-up windows - French - Vona,A, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 114 (1996), pp. 3-3, ISSN 0335-5322
  107. 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
  108. 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
  109. 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
  110. 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
  111. Tang, B; Sapiro, G; Caselles, V, Chromaticity diffusion, IEEE International Conference on Image Processing, vol. 2 (January, 2000), pp. 784-787, IEEE
  112. 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
  113. 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
  114. 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
  115. 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
  116. 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
  117. 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
  118. 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
  119. 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
  120. 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
  121. 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
  122. Sprechmann, P; Ramírez, I; Sapiro, G; Eldar, YC, Collaborative hierarchical sparse modeling., CISS (2010), pp. 1-6, IEEE, ISBN 978-1-4244-7416-5
  123. 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
  124. 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
  125. 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
  126. 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
  127. 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
  128. Sapiro, G, Color Snakes, Computer Vision and Image Understanding, vol. 68 no. 2 (January, 1997), pp. 247-253, Elsevier BV
  129. 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
  130. Mémoli, F; Sapiro, G, Comparing point clouds, ACM International Conference Proceeding Series, vol. 71 (December, 2004), pp. 32-40, ACM Press
  131. 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
  132. 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
  133. 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
  134. 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)
  135. 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
  136. 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)
  137. 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
  138. 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
  139. 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
  140. 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
  141. 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
  142. 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
  143. 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)
  144. 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)
  145. 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
  146. 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
  147. 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)
  148. 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
  149. 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
  150. 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
  151. 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
  152. 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
  153. 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
  154. 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
  155. 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
  156. 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
  157. 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
  158. 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
  159. 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
  160. Sapiro, G, Dans les soulevements - French - Vargaftig,B, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 114 (1996), pp. 13-13, ISSN 0335-5322
  161. 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
  162. 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)
  163. 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)
  164. 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)
  165. 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
  166. 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
  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. 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)
  169. 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)
  170. 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
  171. 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
  172. 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
  173. 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
  174. 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
  175. 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
  176. 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
  177. 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)
  178. 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
  179. 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
  180. 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
  181. 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
  182. 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
  183. 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
  184. 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
  185. 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
  186. 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
  187. Szlam, A; Sapiro, G, Discriminative k-metrics, Proceedings of the 26th International Conference On Machine Learning, ICML 2009 (December, 2009), pp. 1009-1016
  188. Szlam, A; Sapiro, G, Discriminative k-metrics, ACM International Conference Proceeding Series, vol. 382 (September, 2009), ACM Press
  189. 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
  190. 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
  191. 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
  192. 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
  193. 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
  194. 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
  195. 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
  196. Qiu, Q; Sapiro, G; Chen, C-H, Domain-invariant Face Recognition using Learned Low-rank Transformation, vol. abs/1308.0275 (August, 2013)
  197. 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
  198. 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
  199. 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
  200. 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
  201. 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
  202. Léger, F; Yu, G; Sapiro, G, Efficient matrix completion with Gaussian models., ICASSP (2011), pp. 1113-1116, IEEE, ISBN 978-1-4577-0539-7
  203. 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
  204. Sapiro, G, Emigrants in New York. The French intellectuals in Manhattan (1940-1944)., MOUVEMENT SOCIAL no. 214 (2006), pp. 174-175, ISSN 0027-2671
  205. 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
  206. 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
  207. 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
  208. 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
  209. 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
  210. 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
  211. 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
  212. Bruckstein, AM; Sapiro, G; Shaked, D, Evolutions of planar polygons, International Journal of Pattern Recognition and Artificial Intelligence, vol. 9 no. 6 (January, 1995), pp. 991-1014, World Scientific Pub Co Pte Lt
  213. 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
  214. 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
  215. 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
  216. 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
  217. 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)
  218. 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
  219. 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
  220. 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
  221. 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
  222. 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
  223. 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
  224. 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
  225. 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
  226. 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
  227. 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
  228. 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
  229. 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
  230. 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
  231. 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
  232. 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
  233. 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
  234. 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
  235. 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
  236. 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)
  237. 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
  238. 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
  239. 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
  240. 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)
  241. 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)
  242. 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
  243. 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
  244. 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)
  245. 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
  246. Caselles, V; Kimmel, R; Sapiro, G, Geodesic active contours, IEEE International Conference on Computer Vision (January, 1995), pp. 694-699, IEEE Comput. Soc. Press
  247. 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
  248. 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
  249. Caselles, V; Kimmel, R; Sapiro, G, Geometric Active Contours for Image Segmentation (January, 2005), pp. 613-627, Elsevier
  250. 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
  251. 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
  252. 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
  253. 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
  254. 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
  255. 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
  256. 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
  257. 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
  258. 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
  259. 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
  260. 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
  261. 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
  262. 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
  263. Sapiro, G; Caselles, V, Histogram Modification via Differential Equations, Journal of Differential Equations, vol. 135 no. 2 (April, 1997), pp. 238-268, Elsevier BV
  264. Sapiro, G; Caselles, V, Histogram modification via partial differential equations, IEEE International Conference on Image Processing, vol. 3 (December, 1995), pp. 632-635
  265. 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
  266. 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
  267. 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
  268. 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
  269. 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
  270. 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
  271. 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
  272. 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
  273. 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
  274. Mémoli, F; Sapiro, G; Thompson, P, Implicit brain imaging., NeuroImage, vol. 23 Suppl 1 (January, 2004), pp. S179-S188, ISSN 1053-8119
  275. 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
  276. Verdera, J; Caselles, V; Bertalmio, M; Sapiro, G, Inpainting surface holes, IEEE International Conference on Image Processing, vol. 2 (December, 2003), pp. 903-906
  277. Sapiro, G, Inpainting the colors, Proceedings - International Conference on Image Processing, ICIP, vol. 2 (December, 2005), pp. 698-701, IEEE, ISSN 1522-4880
  278. 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
  279. 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)
  280. 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
  281. Sapiro, G, Intellectuals and politics: A Typology, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 176-77 (2009), pp. 8-+, ISSN 0335-5322
  282. 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
  283. Sapiro, G, Intellectuals. The genre in the history of intellectuals., MOUVEMENT SOCIAL no. 214 (2006), pp. 168-170, ISSN 0027-2671
  284. 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
  285. 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
  286. 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
  287. 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
  288. 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
  289. 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)
  290. 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
  291. 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
  292. 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
  293. 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
  294. 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
  295. Tepper, M; Sapiro, G, L1 Splines for Robust, Simple, and Fast Smoothing of Grid Data, vol. abs/1208.2292 (August, 2012)
  296. 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
  297. 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
  298. 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
  299. 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
  300. 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
  301. 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
  302. Bronstein, AM; Sprechmann, P; Sapiro, G, Learning Efficient Structured Sparse Models, CoRR, vol. abs/1206.4649 (2012)
  303. 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
  304. 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
  305. Sprechmann, P; Bronstein, AM; Sapiro, G, Learning Robust Low-Rank Representations, vol. abs/1209.6393 (September, 2012)
  306. Qiu, Q; Sapiro, G, Learning Robust Subspace Clustering, vol. abs/1308.0273 (August, 2013)
  307. 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
  308. 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
  309. Qiu, Q; Sapiro, G, Learning Transformations, 2014 IEEE International Conference on Image Processing, ICIP 2014 (January, 2014), pp. 4008-4012, IEEE, ISBN 9781479957514
  310. Qiu, Q; Sapiro, G, Learning transformations for classification forests, 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings (January, 2014)
  311. Qiu, Q; Sapiro, G, Learning transformations for classification forests, 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings (January, 2014)
  312. Qiu, Q; Sapiro, G, Learning transformations for clustering and classification, Journal of Machine Learning Research, vol. 16 (February, 2015), pp. 187-225
  313. 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
  314. 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
  315. 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
  316. 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
  317. 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
  318. 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
  319. Sapiro, G; Steel, J, Litteratures de l'ombre, Le Mouvement social no. 171 (April, 1995), pp. 109-109, JSTOR, ISSN 0027-2671
  320. 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
  321. 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
  322. 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
  323. 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
  324. 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
  325. 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
  326. 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
  327. 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
  328. 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
  329. 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
  330. 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
  331. 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
  332. 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
  333. 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)
  334. 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
  335. 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
  336. 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
  337. 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
  338. 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
  339. 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
  340. 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
  341. 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
  342. 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)
  343. 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
  344. 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
  345. 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
  346. 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
  347. 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
  348. 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
  349. 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
  350. 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
  351. 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
  352. 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
  353. 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
  354. 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
  355. 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
  356. 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
  357. 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
  358. 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
  359. 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
  360. 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
  361. 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
  362. 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
  363. 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
  364. 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
  365. 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
  366. 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
  367. 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
  368. 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
  369. 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
  370. 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
  371. 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
  372. 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
  373. 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
  374. 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
  375. 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
  376. 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
  377. 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
  378. 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
  379. 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
  380. 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
  381. 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
  382. 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
  383. 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
  384. 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
  385. 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
  386. 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
  387. 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
  388. 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
  389. 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
  390. 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
  391. 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
  392. 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
  393. 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
  394. 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
  395. 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)
  396. 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)
  397. Sapiro, G, ON THE STATE Classes at College d eFrance, 1989-1992, QUINZAINE LITTERAIRE no. 1061 (2012), pp. 4-4, ISSN 0048-6493
  398. Duarte-Carvajalino, J; Sapiro, G; Yu, G; Carin, L, Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models, vol. abs/1112.5895 (December, 2011)
  399. 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
  400. 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
  401. 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
  402. 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
  403. 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
  404. 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
  405. 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
  406. 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
  407. Bertalmío, M; Caselles, V; Haro, G; Sapiro, G, PDE-based image and surface inpainting (December, 2006), pp. 33-61, Springer Verlag
  408. 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
  409. 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
  410. 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
  411. 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
  412. 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
  413. 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
  414. 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
  415. 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
  416. 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
  417. 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
  418. 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
  419. 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
  420. 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
  421. Qiu, Q; Sapiro, G; Bronstein, A, Random forests can hash, 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings (January, 2015)
  422. Qiu, Q; Sapiro, G; Bronstein, A, Random forests can hash, 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings (January, 2015)
  423. 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
  424. 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
  425. 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
  426. 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
  427. 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
  428. 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
  429. 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
  430. 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
  431. 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
  432. 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
  433. 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
  434. 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
  435. 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
  436. 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
  437. 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
  438. 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
  439. 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
  440. 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
  441. 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
  442. 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
  443. 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)
  444. 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
  445. 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
  446. Cheng, X; Qiu, Q; Calderbank, R; Sapiro, G, RotDCF: Decomposition of convolutional filters for rotation-equivariant deep networks (May, 2019)
  447. 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)
  448. 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
  449. 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
  450. 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)
  451. 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
  452. 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
  453. 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
  454. 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
  455. 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
  456. 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
  457. 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
  458. 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
  459. 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
  460. 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
  461. 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
  462. 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
  463. 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
  464. 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
  465. 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
  466. 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
  467. 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
  468. Caselles, V; Lisani, JL; Morel, JM; Sapiro, G, Shape preserving local histogram modification no. 97-58 (April, 1997), pp. 1-20
  469. 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
  470. 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
  471. 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
  472. 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
  473. 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
  474. 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
  475. 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
  476. 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
  477. 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
  478. 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
  479. 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
  480. 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
  481. 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
  482. 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
  483. Ramírez, I; Sapiro, G, Sparse coding and dictionary learning based on the MDL principle, CoRR, vol. abs/1010.4751 (2010)
  484. 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
  485. 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
  486. 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
  487. 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
  488. 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
  489. 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
  490. 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
  491. 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)
  492. 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)
  493. 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
  494. 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
  495. 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
  496. 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)
  497. 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
  498. 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
  499. 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
  500. Rother, D; Sapiro, G; Pande, V, Statistical Characterization of Protein Ensembles., IEEE ACM Trans. Comput. Biol. Bioinform., vol. 5 (2008), pp. 42-55
  501. 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
  502. Yu, G; Sapiro, G, Statistical Compressed Sensing of Gaussian Mixture Models., IEEE Trans. Signal Process., vol. 59 (2011), pp. 5842-5858
  503. 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
  504. Yu, G; Sapiro, G, Statistical compressive sensing of Gaussian mixture models., ICASSP (2011), pp. 3728-3731, IEEE, ISBN 978-1-4577-0539-7
  505. 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)
  506. 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
  507. 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
  508. 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
  509. 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
  510. 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
  511. 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
  512. 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
  513. 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
  514. 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.
  515. 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
  516. 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
  517. 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)
  518. 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
  519. 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
  520. 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
  521. 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
  522. 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)
  523. 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)
  524. 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
  525. 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
  526. 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
  527. 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
  528. Sapiro, G, The composer as intellectual. Music and ideology in France (1914-1940), QUINZAINE LITTERAIRE no. 926 (2006), pp. 26-26, ISSN 0048-6493
  529. 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
  530. 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
  531. Sapiro, G, The ideology of the donation, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 168 (2007), pp. 31-33, ISSN 0335-5322
  532. Sapiro, G; Kaniuk, Y, THE LAST JEW, QUINZAINE LITTERAIRE no. 1008 (2010), pp. 12-13, ISSN 0048-6493
  533. 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
  534. 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
  535. 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
  536. Sapiro, G, The price of independence, QUINZAINE LITTERAIRE no. 919 (2006), pp. 6-8, ISSN 0048-6493
  537. 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
  538. 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
  539. Sapiro, G; Bruckstein, AM, The ubiquitous ellipse, Acta Applicandae Mathematicae, vol. 38 no. 2 (February, 1995), pp. 149-161, Springer Nature, ISSN 0167-8019
  540. SAPIRO, G; BRUCKSTEIN, AM, The ubiquitous ellipse, CURVES AND SURFACES IN GEOMETRIC DESIGN (1994), pp. 409-418, ISBN 1-56881-039-3
  541. Sapiro, G, The Vichy government - French - Baruch,MO, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 119 (1997), pp. 71-71, ISSN 0335-5322
  542. 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
  543. 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
  544. 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
  545. 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
  546. 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
  547. 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
  548. 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
  549. 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
  550. 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
  551. 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
  552. 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
  553. 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
  554. 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)
  555. 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
  556. 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
  557. 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
  558. 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
  559. 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
  560. 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
  561. Ramírez, I; Sapiro, G, Universal Sparse Modeling, CoRR, vol. abs/1003.2941 (2010)
  562. 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
  563. 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
  564. 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
  565. 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
  566. 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
  567. 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
  568. 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
  569. 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
  570. 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
  571. 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
  572. Pardo, A; Sapiro, G, Vector probability diffusion, IEEE International Conference on Image Processing, vol. 1 (2000), pp. 884-887
  573. 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
  574. 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
  575. 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
  576. 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)
  577. 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
  578. 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
  579. 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
  580. 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
  581. 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
  582. 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
  583. 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
  584. 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
  585. 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
  586. 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
  587. 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