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Publications of Guillermo Sapiro    :recent first  combined  bibtex listing:

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 [Gateway.cgi]
  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 [Gateway.cgi], [doi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [21761448], [doi]  [abs]
  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) [doi]  [abs]
  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 [23110852], [doi]  [abs]
  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 [1209.6525v1], [doi]  [abs]
  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 [20435541], [doi]  [abs]
  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 [doi]  [abs]
  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 [mostRecentIssue.jsp], [doi]  [abs]
  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 [doi]  [abs]
  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 [22410332], [doi]  [abs]
  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 [doi]  [abs]
  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)  [abs]
  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 [Gateway.cgi]
  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 [23596381], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  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 [17427740], [doi]  [abs]
  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 [Gateway.cgi]
  23. 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 [Gateway.cgi]
  24. 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 [doi]  [abs]
  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 [doi]  [abs]
  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 [21376655], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 Trans Affect Comput, vol. 12 no. 3 (2021), pp. 722-731, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  37. 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 [Gateway.cgi]
  38. 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  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [9381680], [doi]  [abs]
  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 [11500986], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [22902985], [doi]  [abs]
  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  [abs]
  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 [html], [doi]  [abs]
  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 [doi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [1302.3446v3], [doi]  [abs]
  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 [23702418], [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  62. Giblin, PJ; Sapiro, G, Affine invariant distances, envelopes and symmetry sets, HP Laboratories Technical Report no. 96-93 (June, 1996), pp. 2-30  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  68. Giblin, PJ; Sapiro, G, Affine-Invariant Distances, Envelopes and Symmetry Sets, Geometriae Dedicata, vol. 71 no. 3 (January, 1998), pp. 237-261 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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 [16190467], [doi]  [abs]
  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 [Gateway.cgi], [doi]  [abs]
  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 [19203377], [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  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 [11321593], [doi]  [abs]
  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 [doi]  [abs]
  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 [18290076], [doi]  [abs]
  80. Teo, PC; Sapiro, G; Wandell, BA, Anisotropic smoothing of posterior probabilities, IEEE International Conference on Image Processing, vol. 1 (December, 1997), pp. 675-678, IEEE Comput. Soc [doi]  [abs]
  81. 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 [Gateway.cgi]
  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 [doi]  [abs]
  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) [1208.5451v1]  [abs]
  84. 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 [html], [doi]  [abs]
  85. Tannenbaum, A; Sapiro, G, Area and Length Preserving Geometric Invariant Scale-Spaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17 no. 1 (January, 1995), pp. 67-72, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  90. Dawson, G; Campbell, K; Hashemi, J; Lippmann, SJ; Smith, V; Carpenter, K; Egger, H; Espinosa, S; Vermeer, S; Baker, J; Sapiro, G, Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder., Sci Rep, vol. 8 no. 1 (November, 2018), pp. 17008 [doi]  [abs]
  91. 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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [21096596], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi], [doi]  [abs]
  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  [abs]
  102. Sapiro, G, Bilinear voting, Proceedings of the IEEE International Conference on Computer Vision (December, 1998), pp. 178-183, Narosa Publishing House [doi]  [abs]
  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) [1103.2469v1]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  111. Tang, B; Sapiro, G; Caselles, V, Chromaticity diffusion, IEEE International Conference on Image Processing, vol. 2 (January, 2000), pp. 784-787, IEEE [doi]  [abs]
  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 [doi]  [abs]
  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 [18440828], [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [1302.2575v1], [doi]  [abs]
  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 [doi]  [abs]
  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 [mostRecentIssue.jsp], [doi]
  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 [doi]  [abs]
  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 [html], [doi]
  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 [doi]  [abs]
  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  [abs]
  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 [18249660], [doi]  [abs]
  128. Sapiro, G, Color Snakes, Computer Vision and Image Understanding, vol. 68 no. 2 (January, 1997), pp. 247-253, Elsevier BV [doi]  [abs]
  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 [doi]  [abs]
  130. Mémoli, F; Sapiro, G, Comparing point clouds, ACM International Conference Proceeding Series, vol. 71 (December, 2004), pp. 32-40, ACM Press [doi]  [abs]
  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 [22042848], [doi]
  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 [doi]  [abs]
  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 [22235267], [doi]  [abs]
  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) [doi]  [abs]
  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 [doi]  [abs]
  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)  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi], [doi]
  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 [22248450], [doi]  [abs]
  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 [doi]  [abs]
  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) [doi]  [abs]
  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) [doi]  [abs]
  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 [doi]  [abs]
  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 [repository], [doi]  [abs]
  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) [1210.7014v2]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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 [9135867], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [9533585], [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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 [Gateway.cgi], [doi]
  162. Qiu, Q; Thompson, A; Calderbank, R; Sapiro, G, Data representation using the Weyl transform, 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings (January, 2015)  [abs]
  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)  [abs]
  164. Qiu, Q; Thompson, A; Calderbank, R; Sapiro, G, Data Representation Using the Weyl Transform, IEEE Transactions on Signal Processing, vol. 64 no. 7 (April, 2016), pp. 1844-1853, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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 (January, 2013) [23319498]  [abs]
  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, vol. 35 no. 8 (August, 2013), pp. 1887-1901 [23787342], [doi]  [abs]
  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) [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  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 [23625329], [doi]  [abs]
  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 [doi]  [abs]
  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 [mostRecentIssue.jsp], [doi]  [abs]
  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 [doi]  [abs]
  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) [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  187. Szlam, A; Sapiro, G, Discriminative k-metrics, ACM International Conference Proceeding Series, vol. 382 (September, 2009), ACM Press [doi]  [abs]
  188. Szlam, A; Sapiro, G, Discriminative k-metrics, Proceedings of the 26th International Conference On Machine Learning, ICML 2009 (December, 2009), pp. 1009-1016  [abs]
  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 [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  194. 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 [Gateway.cgi]
  195. 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 [doi]  [abs]
  196. Qiu, Q; Sapiro, G; Chen, C-H, Domain-invariant Face Recognition using Learned Low-rank Transformation, vol. abs/1308.0275 (August, 2013) [1308.0275v1]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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 [html], [doi]  [abs]
  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 [doi]  [abs]
  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 [html], [doi]
  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  [abs]
  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 [Gateway.cgi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [21775266], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [18585059], [doi]  [abs]
  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 [doi]  [abs]
  212. Bruckstein, AM; Sapiro, G; Shaked, D, Evolutions of planar polygons, International Journal of Pattern Recognition and Artificial Intelligence, vol. 9 no. 6 (1995), pp. 991-1014, World Scientific Pub Co Pte Lt [doi]  [abs]
  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 [doi]  [abs]
  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 [mostRecentIssue.jsp], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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) [doi]  [abs]
  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 [doi]  [abs]
  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 [16671293], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [22615980], [doi]  [abs]
  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 [4994110], [doi]
  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 [18255537], [doi]  [abs]
  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  [abs]
  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 [Gateway.cgi]
  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 [doi]  [abs]
  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 [Gateway.cgi], [doi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  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) [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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)  [abs]
  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)  [abs]
  242. 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 [Gateway.cgi]
  243. 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 [doi]  [abs]
  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) [doi]  [abs]
  245. Caselles, V; Kimmel, R; Sapiro, G, Geodesic active contours, IEEE International Conference on Computer Vision (January, 1995), pp. 694-699, IEEE Comput. Soc. Press [doi]  [abs]
  246. 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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  249. Caselles, V; Kimmel, R; Sapiro, G, Geometric Active Contours for Image Segmentation (January, 2005), pp. 613-627, Elsevier [doi]  [abs]
  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 [doi]  [abs]
  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 [22331577], [doi]  [abs]
  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 [Gateway.cgi], [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi], [doi]
  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 [doi]  [abs]
  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 [doi]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [22108644], [doi]  [abs]
  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 [doi]  [abs]
  264. Sapiro, G; Caselles, V, Histogram modification via partial differential equations, IEEE International Conference on Image Processing, vol. 3 (December, 1995), pp. 632-635  [abs]
  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 [Gateway.cgi]
  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 [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  274. Mémoli, F; Sapiro, G; Thompson, P, Implicit brain imaging., NeuroImage, vol. 23 Suppl 1 (January, 2004), pp. S179-S188, ISSN 1053-8119 [15501087], [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  277. 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 [Gateway.cgi]
  278. Sapiro, G, Inpainting the colors, Proceedings - International Conference on Image Processing, ICIP, vol. 2 (December, 2005), pp. 698-701, IEEE, ISSN 1522-4880 [doi]  [abs]
  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)  [abs]
  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 [doi]  [abs]
  281. Sapiro, G, Intellectuals and politics: A Typology, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 176-77 (2009), pp. 8-+, ISSN 0335-5322 [Gateway.cgi]
  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 [Gateway.cgi]
  283. Sapiro, G, Intellectuals. The genre in the history of intellectuals., MOUVEMENT SOCIAL no. 214 (2006), pp. 168-170, ISSN 0027-2671 [Gateway.cgi]
  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 [doi]  [abs]
  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 [17405436], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]
  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 [Gateway.cgi], [doi]
  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) [doi]  [abs]
  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 [16370457], [doi]  [abs]
  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 [Gateway.cgi], [doi]
  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 [1.9781611972825], [doi]  [abs]
  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 [18255401], [doi]  [abs]
  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 [doi]  [abs]
  295. Tepper, M; Sapiro, G, L1 Splines for Robust, Simple, and Fast Smoothing of Grid Data, vol. abs/1208.2292 (August, 2012) [1208.2292v2]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [1212.3631v1], [doi]  [abs]
  301. Bronstein, AM; Sprechmann, P; Sapiro, G, Learning Efficient Structured Sparse Models, CoRR, vol. abs/1206.4649 (2012)
  302. Sprechmann, P; Bronstein, A; Sapiro, G, Learning efficient structured sparse models, Proceedings of the 29th International Conference on Machine Learning, ICML 2012, vol. 1 (October, 2012), pp. 615-622  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  305. Sprechmann, P; Bronstein, AM; Sapiro, G, Learning Robust Low-Rank Representations, vol. abs/1209.6393 (September, 2012) [1209.6393v1]  [abs]
  306. Qiu, Q; Sapiro, G, Learning Robust Subspace Clustering, vol. abs/1308.0273 (August, 2013) [1308.0273v1]  [abs]
  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 [doi]  [abs]
  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 [19497818], [doi]  [abs]
  309. Qiu, Q; Sapiro, G, Learning Transformations, 2014 IEEE International Conference on Image Processing, ICIP 2014 (January, 2014), pp. 4008-4012, IEEE, ISBN 9781479957514 [doi]  [abs]
  310. Qiu, Q; Sapiro, G, Learning transformations for classification forests, 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings (January, 2014)  [abs]
  311. Qiu, Q; Sapiro, G, Learning transformations for classification forests, 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings (January, 2014)  [abs]
  312. Qiu, Q; Sapiro, G, Learning transformations for clustering and classification, Journal of Machine Learning Research, vol. 16 (February, 2015), pp. 187-225 [1309.2074v2]  [abs]
  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 [Gateway.cgi], [doi]
  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 [Gateway.cgi], [doi]
  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 [Gateway.cgi], [doi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  319. Sapiro, G; Steel, J, Litteratures de l'ombre, Le Mouvement social no. 171 (April, 1995), pp. 109-109, JSTOR, ISSN 0027-2671 [Gateway.cgi], [doi]
  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 [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [mostRecentIssue.jsp], [doi]
  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 [23205551], [doi]  [abs]
  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 [19063977], [doi]  [abs]
  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 [19219850], [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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 [doi]  [abs]
  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) [doi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  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 [Gateway.cgi]
  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  [abs]
  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 [4241233], [doi]
  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) [doi]  [abs]
  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  [abs]
  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 [18668044], [doi]  [abs]
  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 [Gateway.cgi], [doi]
  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 [Gateway.cgi], [doi]
  347. 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 [html], [doi]  [abs]
  348. 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 [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  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 [Gateway.cgi]
  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 [15449586], [doi]  [abs]
  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 [Gateway.cgi], [doi]  [abs]
  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 [23509445], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [20426140], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  366. 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 [doi]  [abs]
  367. 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 [Gateway.cgi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  370. 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 [doi]  [abs]
  371. 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 [doi]  [abs]
  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 [html], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [21693421], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi], [doi]  [abs]
  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 [20879302], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi], [doi]
  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 [doi]  [abs]
  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 [doi]
  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 [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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)  [abs]
  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)  [abs]
  397. Sapiro, G, ON THE STATE Classes at College d eFrance, 1989-1992, QUINZAINE LITTERAIRE no. 1061 (2012), pp. 4-4, ISSN 0048-6493 [Gateway.cgi]
  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) [1112.5895v1]  [abs]
  399. Mairal, J; Bach, F; Ponce, J; Sapiro, G, Online dictionary learning for sparse coding, Proceedings of the 26th International Conference On Machine Learning, ICML 2009 (January, 2009), pp. 689-696  [abs]
  400. Mairal, J; Bach, F; Ponce, J; Sapiro, G, Online dictionary learning for sparse coding, ACM International Conference Proceeding Series, vol. 382 (September, 2009), ACM Press [doi]  [abs]
  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  [abs]
  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 [doi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  407. Bertalmío, M; Caselles, V; Haro, G; Sapiro, G, PDE-based image and surface inpainting (December, 2006), pp. 33-61, Springer Verlag [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  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 [Gateway.cgi]
  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 [23217682], [doi]  [abs]
  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 [Gateway.cgi]
  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 [23702417], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]
  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 [doi]  [abs]
  421. Qiu, Q; Sapiro, G; Bronstein, A, Random forests can hash, 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings (January, 2015)  [abs]
  422. Qiu, Q; Sapiro, G; Bronstein, A, Random forests can hash, 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings (January, 2015)  [abs]
  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 [doi]  [abs]
  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 [html]  [abs]
  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 [doi]  [abs]
  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 [20535807], [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi], [doi]
  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 [10416806], [doi]  [abs]
  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 [html], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [18276262], [doi]  [abs]
  440. 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 [html], [doi]  [abs]
  441. 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 [doi]  [abs]
  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 [18276979], [doi]  [abs]
  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) [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  446. Cheng, X; Qiu, Q; Calderbank, R; Sapiro, G, RoTDCF: Decomposition of convolutional filters for rotation-equivariant deep networks, 7th International Conference on Learning Representations, ICLR 2019 (January, 2019)  [abs]
  447. Cheng, X; Qiu, Q; Calderbank, R; Sapiro, G, RotDCF: Decomposition of convolutional filters for rotation-equivariant deep networks (May, 2019)  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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)  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [mostRecentIssue.jsp], [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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 [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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  [abs]
  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  [abs]
  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 [11055791], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [1203.4422v1], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  468. Caselles, V; Lisani, JL; Morel, JM; Sapiro, G, Shape preserving local histogram modification no. 97-58 (April, 1997), pp. 1-20  [abs]
  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 [18267469], [doi]  [abs]
  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 [16808494], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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 [Gateway.cgi], [doi]  [abs]
  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 [20028636], [doi]  [abs]
  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 [23365838], [doi]  [abs]
  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  [abs]
  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 [18237962], [doi]  [abs]
  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 [22180506], [doi]  [abs]
  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 [doi]  [abs]
  482. Ramírez, I; Sapiro, G, Sparse coding and dictionary learning based on the MDL principle, CoRR, vol. abs/1010.4751 (2010)
  483. 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 [doi]  [abs]
  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 [mostRecentIssue.jsp], [doi]  [abs]
  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 [doi]  [abs]
  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 [1209.6560v1], [doi]  [abs]
  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 [18229804], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [22287242], [doi]  [abs]
  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)  [abs]
  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)  [abs]
  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 [doi]  [abs]
  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 [doi]
  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 [Gateway.cgi], [doi]
  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) [doi]
  497. Hershkovitz, E; Sapiro, G; Tannenbaum, AR; Williams, LD, Statistical Analysis of RNA Backbone., IEEE ACM Trans. Comput. Biol. Bioinform., vol. 3 (2006), pp. 33-46 [doi]
  498. 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 [17048391], [doi]  [abs]
  499. Rother, D; Sapiro, G; Pande, V, Statistical Characterization of Protein Ensembles., IEEE ACM Trans. Comput. Biol. Bioinform., vol. 5 (2008), pp. 42-55 [doi]
  500. 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 [18245874], [doi]  [abs]
  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 [doi]  [abs]
  502. Yu, G; Sapiro, G, Statistical Compressed Sensing of Gaussian Mixture Models., IEEE Trans. Signal Process., vol. 59 (2011), pp. 5842-5858 [doi]
  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 [doi]  [abs]
  504. Yu, G; Sapiro, G, Statistical compressive sensing of Gaussian mixture models., ICASSP (2011), pp. 3728-3731, IEEE, ISBN 978-1-4577-0539-7 [html], [doi]
  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)  [abs]
  506. 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  [abs]
  507. 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  [abs]
  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 [22807678], [doi]  [abs]
  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 [23460696], [doi]  [abs]
  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  [abs]
  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 [18237909], [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  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. [advances-in-neural-information-processing-systems-21-2008]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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) [1201.5404v1], [doi]  [abs]
  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 [1201.5404v1], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  522. 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) [doi]  [abs]
  523. Gorla, G; Interrante, V; Sapiro, G, Texture Synthesis for 3D Shape Representation, IEEE Transactions on Visualization and Computer Graphics, vol. 9 no. 4 (October, 2003), pp. 512-524, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  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 [Gateway.cgi]
  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 [Gateway.cgi]
  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 [Gateway.cgi], [doi]
  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 [Gateway.cgi]
  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 [Gateway.cgi]
  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 [19942335], [doi]  [abs]
  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  [abs]
  531. Sapiro, G, The ideology of the donation, ACTES DE LA RECHERCHE EN SCIENCES SOCIALES no. 168 (2007), pp. 31-33, ISSN 0335-5322 [Gateway.cgi]
  532. Sapiro, G; Kaniuk, Y, THE LAST JEW, QUINZAINE LITTERAIRE no. 1008 (2010), pp. 12-13, ISSN 0048-6493 [Gateway.cgi]
  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 [doi]  [abs]
  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 [Gateway.cgi], [doi]
  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 [18262969], [doi]  [abs]
  536. Sapiro, G, The price of independence, QUINZAINE LITTERAIRE no. 919 (2006), pp. 6-8, ISSN 0048-6493 [Gateway.cgi]
  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 [Gateway.cgi]
  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 [Gateway.cgi], [doi]
  539. SAPIRO, G; BRUCKSTEIN, AM, The ubiquitous ellipse, CURVES AND SURFACES IN GEOMETRIC DESIGN (1994), pp. 409-418, ISBN 1-56881-039-3 [Gateway.cgi]
  540. Sapiro, G; Bruckstein, AM, The ubiquitous ellipse, Acta Applicandae Mathematicae, vol. 38 no. 2 (February, 1995), pp. 149-161, Springer Nature, ISSN 0167-8019 [doi]  [abs]
  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 [Gateway.cgi]
  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  [abs]
  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 [html], [doi]  [abs]
  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 [18678364], [doi]  [abs]
  545. Mahmoudi, M; Sapiro, G, Three-dimensional point cloud recognition via distributions of geometric distances, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops (September, 2008), IEEE [doi]  [abs]
  546. 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 [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [18831634], [doi]  [abs]
  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  [abs]
  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 [22389155], [doi]  [abs]
  552. 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 [Gateway.cgi]
  553. 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 [doi]  [abs]
  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) [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi], [doi]
  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 [Gateway.cgi], [doi]  [abs]
  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) (April, 2023) [doi]  [abs]
  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 [doi]  [abs]
  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 [22562754], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi], [doi]  [abs]
  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  [abs]
  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 [doi]  [abs]
  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  [abs]
  571. Pardo, A; Sapiro, G, Vector probability diffusion, IEEE International Conference on Image Processing, vol. 1 (2000), pp. 884-887  [abs]
  572. 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 [doi]  [abs]
  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 [doi]  [abs]
  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 [Gateway.cgi]
  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 [doi]  [abs]
  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) [1305.6918v1]  [abs]
  577. 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 [Gateway.cgi]
  578. 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 [doi]  [abs]
  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 [17269646], [doi]  [abs]
  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 [doi]  [abs]
  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 [doi]  [abs]
  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  [abs]
  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 [18237938], [doi]  [abs]
  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  [abs]
  585. 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 [mostRecentIssue.jsp], [doi]
  586. Rother, D; Patwardhan, KA; Sapiro, G, What can casual walkers tell us about a 3D scene?, Proceedings of the IEEE International Conference on Computer Vision (December, 2007), IEEE [doi]  [abs]
  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 [Gateway.cgi]

 

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