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Publications of Guillermo Sapiro    :chronological  combined  bibtex listing:

Papers Published

  1. Sapiro, G, 'Alea' - French - Kjaerstad,J, Actes De La Recherche En Sciences Sociales no. 118 (June, 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, Oxford University Press (OUP), 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. Sapiro, G, Geometric invariant signatures and flows: classification and applications in image analysis, Automatic Systems for the Identification and Inspection of Humans, vol. 2277 (1994), pp. 275-287, SPIE, ISBN 0-8194-1601-0 [Gateway.cgi], [doi]
  6. Sapiro, G; Kimmel, R; Caselles, V, Object detection and measurements in medical images via geodesic deformable contours, Vision Geometry Iv, vol. 2573 (August, 1995), pp. 366-378, SPIE, ISBN 0-8194-1932-X [Gateway.cgi], [doi]
  7. Sapiro, G; Caselles, V, Simultaneous contrast improvement and denoising via diffusion-related equations, Vision Geometry Iv, vol. 2573 (August, 1995), pp. 342-353, SPIE, ISBN 0-8194-1932-X [Gateway.cgi], [doi]
  8. 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]
  9. 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]
  10. 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, Journal of Structural Biology, vol. 181 no. 2 (2013), pp. 116-127, ISSN 1047-8477 [doi]  [abs]
  11. 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., Journal of Structural Biology, vol. 181 no. 2 (February, 2013), pp. 116-127 [23110852], [doi]  [abs]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. 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]
  22. 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]
  23. Kao, C-Y; Hofer, M; Sapiro, G; Stern, 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 [Gateway.cgi], [doi]
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  28. Patwardhan, KA; Sapiro, G; Morellas, V; IEEE,, A graph-based foreground representation and its application in example based people matching in video, Proceedings International Conference on Image Processing, Icip (2007), pp. 2289-+, ISSN 1522-4880, ISBN 978-1-4244-1436-9 [Gateway.cgi]
  29. 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]
  30. 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]
  31. 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]
  32. 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]
  33. 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]
  34. Aguerrebere, C; Delbracio, M; Bartesaghi, A; Sapiro, G, A Practical Guide to Multi-Image Alignment, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018-April (September, 2018), pp. 1927-1931, IEEE [doi]  [abs]
  35. Hashemi, J; Campbell, K; Carpenter, KLH; Harris, A; Qiu, Q; Tepper, M; Espinosa, S; Borg, JS; Marsan, S; Calderbank, R; Baker, JP; Egger, HL; Dawson, G; Sapiro, G, A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study, Mobihealth 2015 5th Eai International Conference on Wireless Mobile Communication and Healthcare Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (December, 2015), ICST [doi]  [abs]
  36. Bovery, MDMJ; Dawson, G; Hashemi, J; Sapiro, G, A Scalable Off-the-Shelf Framework for Measuring Patterns of Attention in Young Children and its Application in Autism Spectrum Disorder, Ieee Transactions on Affective Computing (January, 2018), pp. 1-1, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  37. 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., Journal of Neuroscience, vol. 38 no. 7 (February, 2018), pp. 1601-1607 [doi]  [abs]
  38. Tepper, M; Sapiro, G, A short-graph fourier transform via personalized pagerank vectors, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2016-May (May, 2016), pp. 4806-4810, IEEE, ISBN 9781479999880 [doi]  [abs]
  39. 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 (February, 1996), pp. 4178-4178, ISSN 0146-0404 [Gateway.cgi]
  40. 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 (February, 1996), pp. S904, ISSN 0146-0404  [abs]
  41. 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]
  42. 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 (1997), pp. 23-40, ISSN 0924-9907  [abs]
  43. 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]
  44. 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]
  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 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 354066498X [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 : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, vol. 20 no. 3 (January, 2014), pp. 774-775, Cambridge University Press (CUP), ISSN 1431-9276 [doi]
  54. 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]
  55. Duarte-Carvajalino, JM; Yu, G; Carin, L; Sapiro, G, Adapted statistical compressive sensing: Learning to sense gaussian mixture models, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (October, 2012), pp. 3653-3656, IEEE, ISSN 1520-6149 [doi]  [abs]
  56. 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 (December, 2013), pp. 14-18 [1302.3446v3], [doi]  [abs]
  57. 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; Essen, DCV; Ugurbil, K; Behrens, TEJ, Advances in diffusion MRI acquisition and processing in the Human Connectome Project, Neuroimage, vol. 80 (2013), pp. 125-143, ISSN 1053-8119 [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. Olver, PJ; Sapiro, G; Tannenbaum, A, Affine invariant detection: Edge maps, anisotropic diffusion, and active contours, Acta Applicandae Mathematicae, vol. 59 no. 1 (1999), pp. 45-77  [abs]
  60. 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]
  61. Giblin, PJ; Sapiro, G, Affine invariant distances, envelopes and symmetry sets, Hp Laboratories Technical Report no. 96-93 (June, 1996), pp. 2-30  [abs]
  62. 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]
  63. 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]
  64. 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]
  65. Rathi, Y; Olver, P; Sapiro, G; Tannenbaum, A, Affine invariant surface evolutions for 3D image segmentation, Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 6064 (April, 2006), SPIE, ISSN 0277-786X [doi]  [abs]
  66. 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]
  67. Giblin, PJ; Sapiro, G, Affine-Invariant Distances, Envelopes and Symmetry Sets, Geometriae Dedicata, vol. 71 no. 3 (1998), pp. 237-261  [abs]
  68. Huang, J; Qiu, Q; Calderbank, R; Rodrigues, M; Sapiro, G, Alignment with intra-class structure can improve classification, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2015-August (January, 2015), pp. 1921-1925, IEEE, ISBN 9781467369978 [doi]  [abs]
  69. Tepper, M; Sapiro, G, All for one, one for all: Consensus community detection in networks, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (January, 2014), pp. 1075-1079, IEEE, ISSN 1520-6149 [doi]  [abs]
  70. Steinmetz, G; Sapiro, G; Balandier, G, All scientific careers have autobiographical moments, Actes De La Recherche En Sciences Sociales no. 185 (December, 2010), pp. 44-61, ISSN 0335-5322 [Gateway.cgi]
  71. 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]
  72. 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]
  73. 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]
  74. Ramírez, I; Sapiro, G, An MDL Framework for Sparse Coding and Dictionary Learning., Ieee Trans. Signal Processing, vol. 60 (2012), pp. 2913-2927 [doi]
  75. 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]
  76. 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]
  77. Sapiro, G; Ringach, DL, Anisotropic diffusion of color images, Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 2657 (January, 1996), pp. 471-482, SPIE, ISSN 0277-786X [doi]  [abs]
  78. 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]
  79. 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]
  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. 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]
  82. Tang, Z; Castrodad, A; Tepper, M; Sapiro, G, Are You Imitating Me? Unsupervised Sparse Modeling for Group Activity Analysis from a Single Video, Corr, vol. abs/1208.5451 (2012) [1208.5451v1]  [abs]
  83. 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]
  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. 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]
  86. 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 International Symposium on Biomedical Imaging (November, 2011), pp. 276-280, IEEE, ISSN 1945-7928 [doi]  [abs]
  87. 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]
  88. 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., Scientific Reports, vol. 8 no. 1 (November, 2018), pp. 17008 [doi]  [abs]
  89. Sprechmann, P; Bronstein, A; Morel, JM; Sapiro, G, Audio restoration from multiple copies, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (October, 2013), pp. 878-882, IEEE, ISSN 1520-6149 [doi]  [abs]
  90. 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]
  91. Fiori, M; Musé, P; Aguirre, S; Sapiro, G, Automatic colon polyp flagging via geometric and texture features, 2010 Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Embc'10 (2010), pp. 3170-3173 [doi]  [abs]
  92. Fiori, M; Musé, P; Aguirre, S; Sapiro, G, Automatic colon polyp flagging via geometric and texture features., Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference, vol. 2010 (January, 2010), pp. 3170-3173, ISSN 1557-170X [21096596], [doi]  [abs]
  93. Fiori, M; Musé, P; Aguirre, S; Sapiro, G, Automatic colon polyp flagging via geometric and texture features., Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference (2010), pp. 3170-3173, ISSN 1557-170X [doi]  [abs]
  94. 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]
  95. 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]
  96. 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]
  97. Sapiro, G, Bilinear voting, Proceedings of the Ieee International Conference on Computer Vision (December, 1998), pp. 178-183, Narosa Publishing House [doi]  [abs]
  98. Silva, JG; Chen, M; Eldar, YC; Sapiro, G; Carin, L, Blind Compressed Sensing Over a Structured Union of Subspaces, Corr, vol. abs/1103.2469 (2011) [1103.2469v1]  [abs]
  99. Sapiro, G, Boarded-up windows - French - Vona,A, Actes De La Recherche En Sciences Sociales no. 114 (September, 1996), pp. 3-3, ISSN 0335-5322 [Gateway.cgi]
  100. 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]
  101. Sprechmann, P; Ramirez, 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, Institute of Electrical and Electronics Engineers (IEEE) [doi]
  102. 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]
  103. Lucas, JE; Sapiro, G, Cancer: What's luck got to do with it?, Significance, vol. 12 no. 2 (January, 2015), pp. 40-42, WILEY, ISSN 1740-9705 [doi]  [abs]
  104. Tang, B; Sapiro, G; Caselles, V, Chromaticity diffusion, Ieee International Conference on Image Processing, vol. 2 (December, 2000), pp. 784-787, IEEE [doi]  [abs]
  105. 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]
  106. 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]
  107. 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 (August, 1994), pp. 339-344, ISSN 0764-4442 [Gateway.cgi]
  108. 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]
  109. 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, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018-April (September, 2018), pp. 4209-4213, IEEE, ISBN 9781538646588 [doi]  [abs]
  110. Kim, J; Duchin, Y; Sapiro, G; Vitek, J; Harel, N, Clinical deep brain stimulation region prediction using regression forests from high-field MRI, Proceedings International Conference on Image Processing, Icip, vol. 2015-December (December, 2015), pp. 2480-2484, IEEE, ISBN 9781479983391 [doi]  [abs]
  111. 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 (January, 2015), pp. 1264-1267, IEEE, ISSN 1945-7928, ISBN 9781479923748 [doi]  [abs]
  112. 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]
  113. 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]
  114. 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]
  115. Sprechmann, P; Ramirez, I; Cancela, P; Sapiro, G, Collaborative sources identification in mixed signals via hierarchical sparse modeling, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (August, 2011), pp. 5816-5819, IEEE, ISSN 1520-6149 [doi]  [abs]
  116. 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]
  117. 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]
  118. 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]
  119. 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]
  120. Sapiro, G, Color Snakes, Computer Vision and Image Understanding, vol. 68 no. 2 (January, 1997), pp. 247-253, Elsevier BV [doi]  [abs]
  121. Mémoli, F; Sapiro, G, Comparing point clouds, Acm International Conference Proceeding Series, vol. 71 (December, 2004), pp. 32-40, ACM Press [doi]  [abs]
  122. 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]
  123. 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]
  124. 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]
  125. 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]
  126. 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]
  127. 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]
  128. 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., Journal of Structural Biology, vol. 178 no. 2 (May, 2012), pp. 165-176 [22248450], [doi]  [abs]
  129. 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]
  130. 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 Transactions on Affective Computing (August, 2018), pp. 1-1, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  131. 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 Research and Treatment, vol. 2014 (2014), pp. 935686, ISSN 2090-1925 [repository], [doi]  [abs]
  132. 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, Corr, vol. abs/1210.7014 (2012) [1210.7014v2]  [abs]
  133. 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]
  134. 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]
  135. POLLICK, FE; SAPIRO, G, CONSTANT AFFINE VELOCITY AND THE GENERATION AND PERCEPTION OF UNIFORM PLANAR MOTION, Investigative Ophthalmology & Visual Science, vol. 36 no. 4 (March, 1995), pp. S360-S360, ISSN 0146-0404 [Gateway.cgi]
  136. 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]
  137. 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]
  138. 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]
  139. 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]
  140. Zhou, M; Yang, H; Sapiro, G; Dunson, D; Carin, L, Covariate-dependent dictionary learning and sparse coding, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (August, 2011), pp. 5824-5827, IEEE, ISSN 1520-6149 [doi]  [abs]
  141. 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]
  142. 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]
  143. 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]
  144. 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]
  145. Sapiro, G, Dans les soulevements - French - Vargaftig,B, Actes De La Recherche En Sciences Sociales no. 114 (September, 1996), pp. 13-13, ISSN 0335-5322 [Gateway.cgi]
  146. 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]
  147. 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]
  148. 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]
  149. 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]
  150. Tepper, M; Sapiro, G, Decoupled coarse-to-fine matching and nonlinear regularization for efficient motion estimation, Proceedings International Conference on Image Processing, Icip (2012), pp. 1517-1520, ISSN 1522-4880 [doi]  [abs]
  151. 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]
  152. 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]
  153. 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]
  154. 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]
  155. 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]
  156. 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]
  157. 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]
  158. 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 Transactions on Bio Medical Engineering (January, 2018), pp. 1-1, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  159. Sprechmann, P; Sapiro, G, Dictionary learning and sparse coding for unsupervised clustering, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (November, 2010), pp. 2042-2045, IEEE, ISSN 1520-6149 [doi]  [abs]
  160. 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]
  161. 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]
  162. 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 (2000), pp. 149-161 [doi]  [abs]
  163. 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]
  164. Tang, B; Sapiro, G; Caselles, V, Direction diffusion, Proceedings of the Ieee International Conference on Computer Vision, vol. 2 (December, 1999), pp. 1245-1252, IEEE [doi]  [abs]
  165. Szlam, A; Sapiro, G, Discriminative k metrics and the Chan-Vese model for object detection and segmentation, Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 7446 (November, 2009), SPIE, ISSN 0277-786X [doi]  [abs]
  166. Szlam, A; Sapiro, G, Discriminative k-metrics, Proceedings of the 26th International Conference on Machine Learning, Icml 2009 (December, 2009), pp. 1009-1016  [abs]
  167. Szlam, A; Sapiro, G, Discriminative k-metrics, Acm International Conference Proceeding Series, vol. 382 (September, 2009), ACM Press [doi]  [abs]
  168. 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]
  169. 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]
  170. 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]
  171. 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]
  172. 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]
  173. Xue, B; Guillermo, S, Distancecut: Interactive segmentation and matting of images and videos, Proceedings International Conference on Image Processing, Icip, vol. 2 (December, 2007), pp. II249-II252, IEEE, ISSN 1522-4880 [doi]  [abs]
  174. Bai, X; Sapiro, G; IEEE,, Distancecut: Interactive segmentation and matting of images and videos, Proceedings International Conference on Image Processing, Icip (2007), pp. 813-816, ISSN 1522-4880, ISBN 978-1-4244-1436-9 [Gateway.cgi]
  175. Qiu, Q; Sapiro, G; Chen, C-H, Domain-invariant Face Recognition using Learned Low-rank Transformation., Corr, vol. abs/1308.0275 (2013) [1308.0275v1]  [abs]
  176. 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 (November, 2010), pp. 617-630, Springer Berlin Heidelberg, ISSN 0302-9743 [doi]  [abs]
  177. 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 (December, 1996), pp. 105-106, ISSN 0335-5322 [Gateway.cgi]
  178. 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 354066498X [html], [doi]  [abs]
  179. Léger, F; Yu, G; Sapiro, G, Efficient matrix completion with Gaussian models, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (August, 2011), pp. 1113-1116, IEEE, ISSN 1520-6149 [doi]  [abs]
  180. 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]
  181. 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]
  182. Sapiro, G, Emigrants in New York. The French intellectuals in Manhattan (1940-1944)., Le Mouvement Social no. 214 (2006), pp. 174-175, ISSN 0027-2671 [Gateway.cgi]
  183. 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]
  184. 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]
  185. 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]
  186. 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., Journal of Structural Biology, vol. 164 no. 1 (October, 2008), pp. 7-17 [18585059], [doi]  [abs]
  187. 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]
  188. 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]
  189. 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]
  190. 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]
  191. 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]
  192. 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]
  193. 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]
  194. 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]
  195. 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 (December, 2013), pp. 504-508, IEEE [doi]  [abs]
  196. 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, Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 6565 (November, 2007), SPIE, ISSN 0277-786X [doi]  [abs]
  197. 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]
  198. 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]
  199. 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]
  200. 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]
  201. Sapiro, G, For reasons of literature - French literature during the occupation 1940-1944, Actes De La Recherche En Sciences Sociales no. 111-12 (March, 1996), pp. 3-&, ISSN 0335-5322 [Gateway.cgi]
  202. 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]
  203. Sapiro, G, Forms of politicization in the French literary field, Theory and Society, vol. 32 no. 5/6 (December, 2003), pp. 633-652, Springer Nature, ISSN 0304-2421 [Gateway.cgi], [doi]
  204. Sapiro, G; Tannenbaum, AR, Formulating invariant heat-type curve flows, Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 2031 (January, 1993), pp. 234-245, SPIE [doi]  [abs]
  205. 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]
  206. 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]
  207. 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]
  208. 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]
  209. 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]
  210. 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]
  211. 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 (December, 2013), pp. 19-23, IEEE [doi]  [abs]
  212. Sprechmann, P; Cancela, P; Sapiro, G, Gaussian mixture models for score-informed instrument separation, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (October, 2012), pp. 49-52, IEEE, ISSN 1520-6149 [doi]  [abs]
  213. 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]
  214. 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]
  215. Bar, L; Sapiro, G; IEEE,, GENERALIZED NEWTON METHODS FOR ENERGY FORMULATIONS IN IMAGE PROCESSING, Proceedings International Conference on Image Processing, Icip (2008), pp. 813-816, ISSN 1522-4880, ISBN 978-1-4244-1764-3 [Gateway.cgi]
  216. 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]
  217. 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]
  218. 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]
  219. 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]
  220. 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]
  221. Caselles, V; Kimmel, R; Sapiro, G, Geometric Active Contours for Image Segmentation (December, 2005), pp. 613-627, Elsevier [doi]  [abs]
  222. 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]
  223. Su, S; White, T; Schmidt, M; Kao, CY; Sapiro, G, Geometric computation of human gyrification indexes from magnetic resonance images, Human Brain Mapping, vol. 34 no. 5 (2013), pp. 1230-1244, ISSN 1065-9471 [doi]  [abs]
  224. 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]
  225. 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]
  226. 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]
  227. 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]
  228. 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]
  229. Sapiro, GR, Guest editorial: Introduction to the special issue on imaging science, Journal of Mathematical Imaging and Vision, vol. 18 no. 1 (2003), pp. 5- [doi]
  230. 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]
  231. Bar, L; Sapiro, G, Hierarchical dictionary learning for invariant classification, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (November, 2010), pp. 3578-3581, IEEE, ISSN 1520-6149 [doi]  [abs]
  232. 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]
  233. 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]
  234. 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]
  235. Sapiro, G; Caselles, V, Histogram modification via partial differential equations, Ieee International Conference on Image Processing, vol. 3 (December, 1995), pp. 632-635  [abs]
  236. Sapiro, G, I never learned to write - The paths of creation, Actes De La Recherche En Sciences Sociales no. 168 (June, 2007), pp. 12-+, ISSN 0335-5322 [Gateway.cgi]
  237. 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]
  238. Sapiro, G; Casalles, V, Image evolution approach for contrast enhancement, Investigative and Trial Image Processing, vol. 2567 (September, 1995), pp. 19-30, SPIE, ISBN 0-8194-1926-5 [Gateway.cgi], [doi]
  239. 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]
  240. Bertalmio, M; Sapiro, G; Caselles, V; Ballester, C, Image inpainting, Proceedings of the Acm Siggraph Conference on Computer Graphics (December, 2000), pp. 417-424  [abs]
  241. 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]
  242. 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]
  243. SAPIRO, G; TANNENBAUM, A; UNIV, JH, 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]
  244. 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]
  245. 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]
  246. 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]
  247. 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]
  248. 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]
  249. Sapiro, G; IEEE,, Inpainting the colors, Proceedings International Conference on Image Processing, Icip (2005), pp. 1265-1268, ISSN 1522-4880, ISBN 0-7803-9134-9 [Gateway.cgi]
  250. Draelos, M; Qiu, Q; Bronstein, A; Sapiro, G, Intel realsense = Real low cost gaze, Proceedings International Conference on Image Processing, Icip, vol. 2015-December (December, 2015), pp. 2520-2524, IEEE, ISBN 9781479983391 [doi]  [abs]
  251. Sapiro, G, Intellectuals and politics: A Typology, Actes De La Recherche En Sciences Sociales no. 176-77 (March, 2009), pp. 8-+, ISSN 0335-5322 [Gateway.cgi]
  252. Sapiro, G, Intellectuals in 19th-century Europe - Comparative history - French - Charle,C, Actes De La Recherche En Sciences Sociales no. 115 (December, 1996), pp. 107-107, ISSN 0335-5322 [Gateway.cgi]
  253. Sapiro, G, Intellectuals. The genre in the history of intellectuals., Le Mouvement Social no. 214 (2006), pp. 168-170, ISSN 0027-2671 [Gateway.cgi]
  254. Qiu, Q; Hashemi, J; Sapiro, G, Intelligent synthesis driven model calibration: framework and face recognition application, Proceedings 2017 Ieee International Conference on Computer Vision Workshops, Iccvw 2017, vol. 2018-January (January, 2018), pp. 2564-2572, IEEE, ISBN 9781538610343 [doi]  [abs]
  255. 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]
  256. 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]
  257. 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]
  258. 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]
  259. Sapiro, G, Introduction to the Special Section on Optimization in Imaging Sciences., Siam J. Imaging Sciences, vol. 3 (2010), pp. 1047-1047
  260. Olver, PJ; Sapiro, G; Tannenbaum, A, Invariant geometric evolutions of surfaces and volumetric smoothing, Siam Journal on Applied Mathematics, vol. 57 no. 1 (February, 1997), pp. 176-194, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
  261. 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]
  262. 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, American Historical Review, vol. 111 no. 4 (October, 2006), pp. 1261-1262, Oxford University Press (OUP), ISSN 0002-8762 [Gateway.cgi], [doi]
  263. 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 (December, 2012), pp. 403-414, SIAM / Omnipress, ISBN 9781611972320 [1.9781611972825], [doi]  [abs]
  264. 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]
  265. 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]
  266. Tepper, M; Sapiro, G, L1 Splines for Robust, Simple, and Fast Smoothing of Grid Data, Corr, vol. abs/1208.2292 (2012) [1208.2292v2]  [abs]
  267. 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]
  268. Sprechmann, P; Bronstein, A; Bronstein, M; Sapiro, G, Learnable low rank sparse models for speech denoising, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (October, 2013), pp. 136-140, IEEE, ISSN 1520-6149 [doi]  [abs]
  269. 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]
  270. 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]
  271. 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]
  272. 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]
  273. Bronstein, AM; Sprechmann, P; Sapiro, G, Learning Efficient Structured Sparse Models, Corr, vol. abs/1206.4649 (2012)
  274. 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]
  275. Mairal, J; Sapiro, G; Elad, M, Learning multiscale sparse representations for image and video restoration, Multiscale Modeling & Simulation, vol. 7 no. 1 (January, 2008), pp. 214-241, Society for Industrial & Applied Mathematics (SIAM), ISSN 1540-3459 [doi]  [abs]
  276. Sprechmann, P; Bronstein, AM; Sapiro, G, Learning Robust Low-Rank Representations, Corr, vol. abs/1209.6393 (2012) [1209.6393v1]  [abs]
  277. Qiu, Q; Sapiro, G, Learning Robust Subspace Clustering., Corr, vol. abs/1308.0273 (2013) [1308.0273v1]  [abs]
  278. Sokolić, J; Qiu, Q; Rodrigues, MRD; Sapiro, G, Learning to identify while failing to discriminate, Proceedings 2017 Ieee International Conference on Computer Vision Workshops, Iccvw 2017, vol. 2018-January (January, 2018), pp. 2537-2544, IEEE, ISBN 9781538610343 [doi]  [abs]
  279. 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]
  280. 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]
  281. 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]
  282. 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]
  283. 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]
  284. 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]
  285. 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]
  286. 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]
  287. 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]
  288. 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]
  289. 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]
  290. 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]
  291. 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 (January, 2014), pp. 3318-3325, IEEE, ISSN 1063-6919, ISBN 9781479951178 [doi]  [abs]
  292. Qiu, Q; Chang, Z; Draelos, M; Chen, J; Bronstein, A; Sapiro, G, Low-cost gaze and pulse analysis using realsense, Mobihealth 2015 5th Eai International Conference on Wireless Mobile Communication and Healthcare Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (December, 2015), ICST, ISBN 9781631900884 [doi]  [abs]
  293. Ramírez, I; Sapiro, G, LOw-rank data modeling via the minimum description length principle, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (October, 2012), pp. 2165-2168, IEEE, ISSN 1520-6149 [doi]  [abs]
  294. 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]
  295. 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]
  296. 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]
  297. 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]
  298. Sapiro, G, Merchants of Culture. The Publishing Business in the Twenty-First Century, Actes De La Recherche En Sciences Sociales no. 186-87 (March, 2011), pp. 132-135, ISSN 0335-5322 [Gateway.cgi]
  299. 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]
  300. Sapiro, G, Message from the Editor-in-Chief., Siam J. Imaging Sciences, vol. 1 (2008), pp. 1-1
  301. 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]
  302. 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]
  303. 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]
  304. Sapiro, G, Mircea Eliade and the amnesia of history, Actes De La Recherche En Sciences Sociales no. 114 (September, 1996), pp. 5-5, ISSN 0335-5322 [Gateway.cgi]
  305. 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]
  306. 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]
  307. 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]
  308. 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]
  309. 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]
  310. 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]
  311. 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]
  312. 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 354066498X [html], [doi]  [abs]
  313. 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]
  314. 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]
  315. 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]
  316. Sole, A; Caselles, V; Sapiro, G; Arandiga, 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]
  317. 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]
  318. Caselles, V; Sapiro, G; Solé, A; Ballester, C, Morse description and morphological encoding of continuous data, Multiscale Modeling & Simulation, vol. 2 no. 2 (January, 2004), pp. 179-209, Society for Industrial & Applied Mathematics (SIAM), ISSN 1540-3459 [Gateway.cgi], [doi]  [abs]
  319. 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]
  320. 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]
  321. 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]
  322. Aganj, I; Lenglet, C; Sapiro, G; Yacoub, E; Ugurbil, K; Harel, N, Multiple Q-shell ODF reconstruction in Q-ball imaging, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5762 LNCS no. PART 2 (December, 2009), pp. 423-431, Springer Berlin Heidelberg, ISSN 0302-9743 [doi]  [abs]
  323. 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]  [abs]
  324. 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]
  325. Lecumberry, F; Pardo, A; Sapiro, G; IEEE,, MULTIPLE SHAPE MODELS FOR SIMULTANEOUS OBJECT CLASSIFICATION AND SEGMENTATION, 2009 16th Ieee International Conference on Image Processing, Vols 1 6 (2009), pp. 3001-+, ISBN 978-1-4244-5653-6 [Gateway.cgi], [doi]
  326. 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]
  327. Mairal, J; Sapiro, G; Elad, M; IEEE,, Multiscale sparse image representation with learned dictionaries, Proceedings International Conference on Image Processing, Icip (2007), pp. 1233-+, ISSN 1522-4880, ISBN 978-1-4244-1436-9 [Gateway.cgi]
  328. 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]
  329. 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]
  330. 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]
  331. 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 (December, 2007), pp. 153-164, ISSN 0302-9743  [abs]
  332. 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]
  333. 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]
  334. 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 (December, 2009), pp. 2295-2303  [abs]
  335. 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]
  336. 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]
  337. 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]
  338. 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]
  339. 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]
  340. 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]
  341. Aganj, I; Lenglet, C; Sapiro, G, ODF maxima extraction in spherical harmonic representation via analytical search space reduction, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6362 LNCS no. PART 2 (November, 2010), pp. 84-91, Springer Berlin Heidelberg, ISSN 0302-9743 [doi]  [abs]
  342. 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]  [abs]
  343. Aganj, I; Lenglet, C; Sapiro, G, ODF reconstruction in Q-ball imaging with solid angle consideration, Proceedings 2009 Ieee International Symposium on Biomedical Imaging: From Nano to Macro, Isbi 2009 (November, 2009), pp. 1398-1401, IEEE [doi]  [abs]
  344. 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]
  345. SAPIRO, G, On affine plane curve evolution, J. of Functional Analysis, vol. 119 no. 1 (1994), pp. 79-120, Elsevier BV, ISSN 0022-1236 [doi]  [abs]
  346. Caselles, V; Haro, G; Sapiro, G; Verdera, J, On geometric variational models for inpainting surface holes, Computer Vision and Image Understanding, vol. 111 no. 3 (September, 2008), pp. 351-373, Elsevier BV, ISSN 1077-3142 [doi]  [abs]
  347. 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 (1998), pp. 601-634
  348. 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]
  349. 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]
  350. 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]
  351. 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]
  352. Sapiro, G, ON THE STATE Classes at College d eFrance, 1989-1992, Quinzaine Litteraire no. 1061 (May, 2012), pp. 4-4, ISSN 0048-6493 [Gateway.cgi]
  353. Duarte-Carvajalino, JM; Sapiro, G; Yu, G; Carin, L, Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models, Corr, vol. abs/1112.5895 (2011) [1112.5895v1]  [abs]
  354. 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]
  355. 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]
  356. 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]
  357. Mairal, J; Bach, FR; Ponce, J; Sapiro, G, Online Learning for Matrix Factorization and Sparse Coding., Journal of Machine Learning Research, vol. 11 (2010), pp. 19-60 [doi]
  358. 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]
  359. 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]
  360. 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]
  361. Bertalmío, M; Caselles, V; Haro, G; Sapiro, G, PDE-based image and surface inpainting (December, 2006), pp. 33-61, Springer Verlag [doi]  [abs]
  362. 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]
  363. Dawson, G; Sapiro, G, Potential for Digital Behavioral Measurement Tools to Transform the Detection and Diagnosis of Autism Spectrum Disorder., Jama Pediatr (February, 2019) [doi]
  364. 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, Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 5032 II (September, 2003), pp. 1264-1274, SPIE [doi]  [abs]
  365. 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]
  366. 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]
  367. Sapiro, G; Gobille, B, Proprietor or intellectual worker ? French writers in search for a status., Le Mouvement Social no. 214 (2006), pp. 113-+, ISSN 0027-2671 [Gateway.cgi]
  368. 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]
  369. 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]
  370. 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]
  371. 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]
  372. Carpenter, K; Sprechmann, P; Fiori, M; Calderbank, R; Egger, H; Sapiro, G, Questionnaire simplification for fast risk analysis of children's mental health, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (January, 2014), pp. 6009-6013, IEEE, ISSN 1520-6149 [doi]  [abs]
  373. 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]
  374. 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]
  375. 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]
  376. Jahanshad, N; Lee, AD; Lepore, N; Chou, YY; Brun, C; Barysheva, M; Toga, AW; McMahon, KL; Zubicaray, GID; 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 2009 Ieee International Symposium on Biomedical Imaging: From Nano to Macro, Isbi 2009 (November, 2009), pp. 819-822, IEEE [doi]  [abs]
  377. 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]
  378. 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]
  379. 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 354066498X [html], [doi]  [abs]
  380. 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]
  381. 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]
  382. 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]
  383. 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]
  384. 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]
  385. 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]
  386. Black, MJ; Sapiro, G; Marimont, DH; 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, vol. 1252 (1997), pp. 323-326, SPRINGER, ISBN 3-540-63167-4 [html], [doi]  [abs]
  387. 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]
  388. 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]
  389. 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]
  390. 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]
  391. 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 (March, 1996), pp. 36-&, ISSN 0335-5322 [Gateway.cgi]
  392. 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]
  393. 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]
  394. Rother, D; Sapiro, G, Seeing 3D objects in a single 2D image, 2009 Ieee 12th International Conference on Computer Vision (September, 2009), pp. 1819-1826, IEEE, ISBN 9781424444205 [mostRecentIssue.jsp], [doi]
  395. 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., Biomedical Optics Express, vol. 7 no. 12 (December, 2016), pp. 4827-4846 [doi]  [abs]
  396. 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]
  397. 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]
  398. Chung, DH; Sapiro, G, Segmentation-free skeletonization of gray-scale images via PDE's, Ieee International Conference on Image Processing, vol. 2 (December, 2000), pp. 927-930  [abs]
  399. 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]
  400. 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]
  401. 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]
  402. 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]
  403. 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]
  404. Michaeli, T; Eldar, YC; Sapiro, G, Semi-supervised multi-domain regression with distinct training sets, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (October, 2012), pp. 2145-2148, IEEE, ISSN 1520-6149 [doi]  [abs]
  405. Michaeli, T; Eldar, YC; Sapiro, G, Semi-Supervised Single- and Multi-Domain Regression with Multi-Domain Training, Corr, vol. abs/1203.4422 (2012) [1203.4422v1]  [abs]
  406. 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]
  407. 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]
  408. 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]
  409. Caselles, V; Lisani, JL; Morel, JM; Sapiro, G, Shape preserving local histogram modification no. 97-58 (April, 1997), pp. 1-20  [abs]
  410. 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]
  411. 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]
  412. 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]
  413. Kimmel, R; Sapiro, G, Shortening three-dimensional curves via two-dimensional flows, Computers & Mathematics With Applications, vol. 29 no. 3 (January, 1995), pp. 49-62, Elsevier BV, ISSN 0898-1221 [doi]  [abs]
  414. Sapiro, G, Should we choose to explain and understand? The interpretation of human actions, Quinzaine Litteraire no. 1043 (August, 2011), pp. 28-28, ISSN 0048-6493 [Gateway.cgi]
  415. 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]
  416. Cetingul, HE; Cetingül, HE; Nadar, M; Thompson, P; Sapiro, G; Lenglet, C, Simultaneous ODF estimation and tractography in HARDI., Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference, vol. 2012 (January, 2012), pp. 86-89, ISSN 1557-170X [23365838], [doi]  [abs]
  417. Cetingul, HE; Cetingül, HE; Nadar, M; Thompson, P; Sapiro, G; Lenglet, C, Simultaneous ODF estimation and tractography in HARDI., Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference, vol. 2012 (2012), pp. 86-89, ISSN 1557-170X [doi]  [abs]
  418. 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]
  419. 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]
  420. Guoshen Yu, ; 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, Institute of Electrical and Electronics Engineers (IEEE) [doi]
  421. 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]
  422. 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]
  423. Ramírez, I; Sapiro, G, Sparse coding and dictionary learning based on the MDL principle, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (August, 2011), pp. 2160-2163, IEEE, ISSN 1520-6149 [doi]  [abs]
  424. Ramírez, I; Sapiro, G, Sparse coding and dictionary learning based on the MDL principle, Corr, vol. abs/1010.4751 (2010)
  425. 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]
  426. 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]
  427. 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]
  428. 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]
  429. 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 (June, 2010), pp. 1031-1044, Institute of Electrical and Electronics Engineers (IEEE), ISSN 0018-9219 [doi]  [abs]
  430. 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]
  431. 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]
  432. 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]
  433. 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]
  434. 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]
  435. 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]
  436. Hershkovitz, E; Sapiro, G; Tannenbaum, AR; Williams, LD, Statistical Analysis of RNA Backbone., Ieee/Acm Trans. Comput. Biology Bioinform., vol. 3 (2006), pp. 33-46 [doi]
  437. 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]
  438. Rother, D; Sapiro, G; Pande, V, Statistical Characterization of Protein Ensembles., Ieee/Acm Trans. Comput. Biology Bioinform., vol. 5 (2008), pp. 42-55 [doi]
  439. 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]
  440. Yu, G; Sapiro, G, Statistical Compressed Sensing of Gaussian Mixture Models., Ieee Trans. Signal Processing, vol. 59 (2011), pp. 5842-5858 [doi]
  441. Yu, G; Sapiro, G, Statistical compressive sensing of Gaussian mixture models, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (August, 2011), pp. 3728-3731, ISSN 1520-6149 [doi]  [abs]
  442. 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]
  443. 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]
  444. 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 Pathogens, vol. 8 no. 7 (January, 2012), pp. e1002797 [22807678], [doi]  [abs]
  445. 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]
  446. 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]
  447. 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]
  448. 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]
  449. 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 (December, 2009), pp. 1033-1040  [abs]
  450. 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]
  451. 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]
  452. 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]
  453. 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]
  454. Duarte-Carvajalino, JM; Yu, G; Carin, L; Sapiro, G, Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models., Ieee Trans. Signal Processing, vol. 61 (2013), pp. 585-600 [1201.5404v1], [doi]  [abs]
  455. 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]
  456. 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]
  457. 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]
  458. 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]
  459. 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]
  460. 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]
  461. Sapiro, G, The artistic vocation between donation and self-donation, Actes De La Recherche En Sciences Sociales no. 168 (June, 2007), pp. 4-11, ISSN 0335-5322 [Gateway.cgi]
  462. 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]
  463. Matonti, F; Sapiro, G, The commitment of intellectuals: new viewpoints, Actes De La Recherche En Sciences Sociales no. 176-77 (March, 2009), pp. 4-7, ISSN 0335-5322 [Gateway.cgi]
  464. Sapiro, G, The composer as intellectual. Music and ideology in France (1914-1940), Quinzaine Litteraire no. 926 (July, 2006), pp. 26-26, ISSN 0048-6493 [Gateway.cgi]
  465. 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]
  466. 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]
  467. Sapiro, G, The ideology of the donation, Actes De La Recherche En Sciences Sociales no. 168 (June, 2007), pp. 31-33, ISSN 0335-5322 [Gateway.cgi]
  468. Sapiro, G, The intellectual professions between the State, entrepreneurship and the industry, Le Mouvement Social no. 214 (2006), pp. 3-18, ISSN 0027-2671 [Gateway.cgi]
  469. Sapiro, G; Kaniuk, Y, THE LAST JEW, Quinzaine Litteraire no. 1008 (February, 2010), pp. 12-13, ISSN 0048-6493 [Gateway.cgi]
  470. Giryes, R; Eldar, YC; Bronstein, AM; Sapiro, G, The Learned Inexact Project Gradient Descent Algorithm, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018-April (September, 2018), pp. 6767-6771, IEEE, ISBN 9781538646588 [doi]  [abs]
  471. 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]
  472. 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]
  473. Sapiro, G, The price of independence, Quinzaine Litteraire no. 919 (March, 2006), pp. 6-8, ISSN 0048-6493 [Gateway.cgi]
  474. Sapiro, G; Steinmetz, G; Ducournau, C, The production of colonial and post-colonial representations, Actes De La Recherche En Sciences Sociales no. 185 (December, 2010), pp. 4-11, ISSN 0335-5322 [Gateway.cgi]
  475. 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]
  476. 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]
  477. SAPIRO, G; BRUCKSTEIN, AM, The ubiquitous ellipse, Curves and Surfaces in Geometric Design (1994), pp. 409-418, ISBN 1-56881-039-3 [Gateway.cgi]
  478. Sapiro, G, The Vichy government - French - Baruch,MO, Actes De La Recherche En Sciences Sociales no. 119 (September, 1997), pp. 71-71, ISSN 0335-5322 [Gateway.cgi]
  479. 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 3540611223 [html], [doi]  [abs]
  480. 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]
  481. 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]
  482. 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]
  483. 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 (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2879 no. PART 2 (December, 2003), pp. 594-602, ISSN 0302-9743  [abs]
  484. 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]
  485. 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]
  486. 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]
  487. 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]
  488. 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]
  489. Bartesaghi, A; Sapiro, G, Tracking of moving objects under severe and total occlusions, Proceedings International Conference on Image Processing, Icip (January, 2005), pp. 249-252, IEEE, ISSN 1522-4880, ISBN 0-7803-9134-9 [Gateway.cgi]
  490. 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]
  491. 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]
  492. 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]
  493. Sapiro, G, Un héritage symbolique détourné ? La nouvelle revue française des années noires, Études Littéraires, vol. 40 no. 1 (2009), pp. 97-97, Consortium Erudit, ISSN 0014-214X [Gateway.cgi], [doi]
  494. 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]
  495. Ramirez, I; Lecumberry, F; Sapiro, G; IEEE,, Universal Priors for Sparse Modeling, 2009 3rd Ieee International Workshop on Computational Advances in Multi Sensor Adaptive Processing (Camsap 2009) (2009), pp. 197-+, ISBN 978-1-4244-5179-1 [Gateway.cgi], [doi]
  496. 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]
  497. Ramírez, I; Sapiro, G, Universal Sparse Modeling, Corr, vol. abs/1003.2941 (2010)
  498. Duarte-Carvajalino, JM; Sapiro, G; Velez-Reyes, M, Unsupervised spectral-spatial classification of hyperspectral imagery using real and complex features and generalized histograms, Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 6966 (June, 2008), SPIE, ISSN 0277-786X [doi]  [abs]
  499. 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]
  500. 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]
  501. 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]
  502. 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 076951278X [Gateway.cgi], [doi]  [abs]
  503. 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]
  504. 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 (2000), pp. 109-119 [doi]  [abs]
  505. 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]
  506. Pardo, A; Sapiro, G, Vector probability diffusion, Ieee Signal Processing Letters, vol. 8 no. 4 (April, 2001), pp. 106-109, ISSN 1070-9908 [Gateway.cgi], [doi]
  507. 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]
  508. Pardo, A; Sapiro, G, Vector probability diffusion, Ieee International Conference on Image Processing, vol. 1 (2000), pp. 884-887  [abs]
  509. 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]
  510. Sapiro, G, Vichy and femininity - Political sociology of the order of bodies - French - MuelDreyfus,F, Actes De La Recherche En Sciences Sociales no. 113 (June, 1996), pp. 103-104, ISSN 0335-5322 [Gateway.cgi]
  511. 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]
  512. 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]
  513. 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]
  514. Patwardhan, KA; Sapiro, G; Bertalmio, M; IEEE,, Video inpainting of occluding and occluded objects, Proceedings International Conference on Image Processing, Icip (2005), pp. 1593-1596, ISSN 1522-4880, ISBN 0-7803-9134-9 [Gateway.cgi]
  515. 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]
  516. 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]
  517. 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]
  518. 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]
  519. 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]
  520. 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]
  521. 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]
  522. 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]
  523. Sapiro, G, WHAT IS A FRENCH PHILOSOPHER? The social life of concepts (1880-1980), Quinzaine Litteraire no. 1034 (March, 2011), pp. 21-21, ISSN 0048-6493 [Gateway.cgi]

 

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