Guillermo Sapiro

Publications

  • 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 (2014), pp. 284-295 [10.1016/j.neuroimage.2014.04.033] [abs].
  • 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 (2014) [10.1371/journal.pbio.1001815] [abs].
  • Carpenter, K; Sprechmann, P; Fiori, M; Calderbank, R; Egger, H; Sapiro, G, Questionnaire simplification for fast risk analysis of children's mental health, IEEE International Conference on Acoustics Speech and Signal Processing (2014), pp. 6009-6013 [abs].
  • Tepper, M; Sapiro, G, All for one, one for all: Consensus community detection in networks, IEEE International Conference on Acoustics Speech and Signal Processing (2014), pp. 1075-1079 [abs].
  • 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, TE; WU-Minn HCP Consortium, , Advances in diffusion MRI acquisition and processing in the Human Connectome Project., Neuroimage, vol 80 (2013), pp. 125-143 [10.1016/j.neuroimage.2013.05.057] [abs].
  • 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, JL; Behrens, TE; 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 (2013), pp. 80-104 [10.1016/j.neuroimage.2013.05.012] [abs].
  • 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 (2013), pp. 1534-1540 [10.1002/mrm.24736] [abs].
  • 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 [10.1002/hbm.21510] [abs].
  • 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 USA, vol 110 no. 12 (2013), pp. 4592-4597 [10.1073/pnas.1214913110] [abs].
  • Llull, P; Liao, X; Yuan, X; Yang, J; Kittle, D; Carin, L; Sapiro, G; Brady, DJ, Coded aperture compressive temporal imaging (2013) [abs].
  • 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 [10.1016/j.jsb.2012.10.010] [abs].
  • 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 (2013) [abs].
  • 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 (2013) [abs].
  • Sprechmann, P; Bronstein, A; Morel, J-M; Sapiro, G, Audio restoration from multiple copies, IEEE International Conference on Acoustics Speech and Signal Processing (2013), pp. 878-882 [abs].
  • Sprechmann, P; Bronstein, A; Bronstein, M; Sapiro, G, Learnable low rank sparse models for speech denoising, IEEE International Conference on Acoustics Speech and Signal Processing (2013), pp. 136-140 [abs].
  • Fiori, M; Musé, P; Sapiro, G, Polyps flagging in virtual colonoscopy, Lecture Notes in Computer Science, vol 8259 LNCS no. PART 2 (2013), pp. 181-189 [abs].
  • Walczak, N; Fasching, J; Toczyski, WD; Morellas, V; Sapiro, G; Papanikolopoulos, N, Locating occupants in preschool classrooms using a multiple RGB-D sensor system, Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (2013), pp. 2166-2172 [abs].
  • Tepper, M; Sapiro, G, Ants crawling to discover the community structure in networks, Lecture Notes in Computer Science, vol 8259 LNCS no. PART 2 (2013), pp. 552-559 [abs].
  • 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 (2013), pp. 19-23 [abs].
  • 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 (2013), pp. 504-508 [abs].
  • 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 (2013) [abs].
  • Sprechmann, P; Litman, R; Ben Yakar, T; Bronstein, A; Sapiro, G, Efficient supervised sparse analysis and synthesis operators, Advances in Neural Information Processing Systems (2013) [abs].
  • Elhamifar, E; Sapiro, G; Yang, A; Sasrty, SS, A convex optimization framework for active learning, Proceedings of the IEEE International Conference on Computer Vision (2013), pp. 209-216 [abs].
  • 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 (2013) [10.1155/2013/849363] [abs].
  • 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 (2013), pp. 14-18 [abs].
  • 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 (2013) [10.3389/fnins.2013.00041] [abs].
  • 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 [10.1016/j.jsb.2012.10.010] [abs].
  • 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 [10.1002/hbm.21510] [abs].
  • 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 [10.1016/j.neuroimage.2013.05.057] [abs].
  • 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 (2013), pp. 46-49 [abs].
  • Bartesaghi, A; Lecumberry, F; Sapiro, G; Subramaniam, S, Protein secondary structure determination by constrained single-particle cryo-electron tomography., Structure, vol 20 no. 12 (2012), pp. 2003-2013 [10.1016/j.str.2012.10.016] [abs].
  • Pokrass, J; Bronstein, AM; Bronstein, MM; Sprechmann, P; Sapiro, G, Sparse Modeling of Intrinsic Correspondences (2012) [abs].
  • Ramírez, I; Sapiro, G, Universal regularizers for robust sparse coding and modeling., IEEE Transactions on Image Processing, vol 21 no. 9 (2012), pp. 3850-3864 [10.1109/TIP.2012.2197006] [abs].
  • 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, vol 21 no. 7 (2012), pp. 3239-3252 [10.1109/TIP.2012.2190081] [abs].
  • Yatziv, L; Chartouni, M; Datta, S; Sapiro, G, Toward multiple catheters detection in fluoroscopic image guided interventions., IEEE Transactions on Information Technology in Biomedicine, vol 16 no. 4 (2012), pp. 770-781 [10.1109/TITB.2012.2189407] [abs].
  • 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 (2012), pp. 165-176 [10.1016/j.jsb.2012.01.004] [abs].
  • Mahmoudi, M; Sapiro, G, Sparse representations for range data restoration., IEEE Transactions on Image Processing, vol 21 no. 5 (2012), pp. 2909-2915 [10.1109/TIP.2012.2185940] [abs].
  • 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, vol 21 no. 5 (2012), pp. 2481-2499 [10.1109/TIP.2011.2176743] [abs].
  • 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 (2012), pp. 1167-1172 [10.1002/mrm.23086] [abs].
  • 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 (2012), pp. 3784-3804 [10.1016/j.neuroimage.2011.10.096] [abs].
  • Duarte-Carvajalino, JM; Yu, G; Carin, L; Sapiro, G, Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture
    Models
    (2012) [abs].
  • 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, vol 21 no. 1 (2012), pp. 130-144 [10.1109/TIP.2011.2160072] [abs].
  • Duarte-Carvajalino, JM; Yu, G; Carin, L; Sapiro, G, Adapted statistical compressive sensing: Learning to sense gaussian mixture models, IEEE International Conference on Acoustics Speech and Signal Processing (2012), pp. 3653-3656 [10.1109/ICASSP.2012.6288708] [abs].
  • 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 (2012), pp. 33-56 [10.1137/110837486] [abs].
  • Tran, EE; Borgnia, MJ; Kuybeda, O; Schauder, DM; Bartesaghi, A; Frank, GA; Sapiro, G; Milne, JL; Subramaniam, S, Structural mechanism of trimeric HIV-1 envelope glycoprotein activation., PLoS Pathogens, vol 8 no. 7 (2012) [10.1371/journal.ppat.1002797] [abs].
  • Castrodad, A; Sapiro, G, Sparse modeling of human actions from motion imagery, International Journal of Computer Vision, vol 100 no. 1 (2012), pp. 1-15 [10.1007/s11263-012-0534-7] [abs].
  • Ramirez, I; Sapiro, G, An MDL framework for sparse coding and dictionary learning, IEEE Transactions on Signal Processing, vol 60 no. 6 (2012), pp. 2913-2927 [10.1109/TSP.2012.2187203] [abs].
  • 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 (2012) [10.1371/journal.pone.0037328] [abs].
  • Amir, AT; Tepper, M; Banerjee, A; Sapiro, G, If you are happy and you know it... tweet, ACM International Conference Proceeding Series (2012), pp. 1602-1606 [10.1145/2396761.2398481] [abs].
  • 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 (2012) [10.1371/journal.pone.0029153] [abs].
  • 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. Conference, vol 2012 (2012), pp. 86-89 [10.1109/EMBC.2012.6345877] [abs].
  • Sprechmann, P; Cancela, P; Sapiro, G, Gaussian mixture models for score-informed instrument separation, IEEE International Conference on Acoustics Speech and Signal Processing (2012), pp. 49-52 [10.1109/ICASSP.2012.6287814] [abs].
  • Michaeli, T; Eldar, YC; Sapiro, G, Semi-supervised multi-domain regression with distinct training sets, IEEE International Conference on Acoustics Speech and Signal Processing (2012), pp. 2145-2148 [10.1109/ICASSP.2012.6288336] [abs].
  • Ramírez, I; Sapiro, G, LOw-rank data modeling via the minimum description length principle, IEEE International Conference on Acoustics Speech and Signal Processing (2012), pp. 2165-2168 [10.1109/ICASSP.2012.6288341] [abs].
  • Sprechmann, P; Bronstein, A; Sapiro, G, Learning efficient structured sparse models, Proceedings of the 29th International Conference on Machine Learning, ICML 2012, vol 1 (2012), pp. 615-622 [abs].
  • 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 (2012), pp. 1600-1607 [10.1109/CVPR.2012.6247852] [abs].
  • Tong, M; Kim, Y; Zhan, L; Sapiro, G; Lenglet, C; Mueller, BA; Thompson, PM; Vese, LA, A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING., Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging (2012), pp. 530-533 [10.1109/ISBI.2012.6235602] [abs].
  • 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 (2012), pp. 1345-1350 [10.1109/ICRA.2012.6225280] [abs].
  • 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, Variable Structure Systems (VSS) (2012), pp. 217-222 [10.1109/WACV.2012.6163011] [abs].
  • Zhou, T; Shan, H; Banerjee, A; Sapiro, G, Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information., SDM (2012), pp. 403-414 [abs].
  • Castrodad, A; Khuon, T; Rand, R; Sapiro, G, Sparse modeling for hyperspectral imagery with LiDAR data fusion for subpixel mapping., IGARSS (2012), pp. 7275-7278 [10.1109/IGARSS.2012.6351982] [abs].
  • Sprechmann, P; Bronstein, AM; Sapiro, G, Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling., ISMIR (2012), pp. 67-72 [abs].
  • 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., ICDL-EPIROB (2012), pp. 1-7 [10.1109/DevLrn.2012.6400865] [abs].
  • 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., IROS (2012), pp. 1010-1016 [10.1109/IROS.2012.6385732] [abs].
  • Tepper, M; Sapiro, G, Decoupled coarse-to-fine matching and nonlinear regularization for efficient motion estimation, IEEE PES Innovative Smart Grid Technologies Conference Europe (2012), pp. 1517-1520 [10.1109/ICIP.2012.6467160] [abs].
  • Tepper, M; Sapiro, G, Decoupled coarse-to-fine matching and nonlinear regularization for efficient motion estimation, Proceedings / ICIP ... International Conference on Image Processing (2012), pp. 1517-1520 [10.1109/ICIP.2012.6467160] [abs].
  • Fiori, M; Musé, P; Sapiro, G, Topology constraints in graphical models, Advances in Neural Information Processing Systems, vol 1 (2012), pp. 791-799 [abs].
  • Elhamifar, E; Sapiro, G; Vidal, R, Finding exemplars from pairwise dissimilarities via simultaneous sparse recovery, Advances in Neural Information Processing Systems, vol 1 (2012), pp. 19-27 [abs].
  • 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. Conference, vol 2012 (2012), pp. 86-89 [10.1109/EMBC.2012.6345877] [abs].
  • Sapiro, G, Comparing shapes, understanding evolution., Proceedings of the National Academy of Sciences of USA, vol 108 no. 45 (2011), pp. 18189-18190 [10.1073/pnas.1114928108] [abs].
  • 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, vol 15 no. 5 (2011), pp. 703-708 [10.1109/TITB.2011.2162247] [abs].
  • 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 (2011), pp. 414-425 [10.1016/j.media.2011.01.003] [abs].
  • 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 (2011), pp. 4263-4281 [10.1109/TGRS.2011.2163822] [abs].
  • Carin, L; Baraniuk, R; Cevher, V; Dunson, D; Jordan, M; Sapiro, G; Wakin, M, Learning low-dimensional signal models, IEEE: Signal Processing Magazine, vol 28 no. 2 (2011), pp. 39-51 [10.1109/MSP.2010.939733] [abs].
  • 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 (2011), pp. 883-891 [abs].
  • 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 (2011), pp. 625-632 [abs].
  • 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 (2011), pp. 361-368 [abs].
  • Zhou, M; Yang, H; Sapiro, G; Dunson, D; Carin, L, Covariate-dependent dictionary learning and sparse coding, IEEE International Conference on Acoustics Speech and Signal Processing (2011), pp. 5824-5827 [10.1109/ICASSP.2011.5947685] [abs].
  • Yu, G; Sapiro, G, Statistical compressed sensing of Gaussian mixture models, IEEE Transactions on Signal Processing, vol 59 no. 12 (2011), pp. 5842-5858 [10.1109/TSP.2011.2168521] [abs].
  • 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 (2011), pp. 4183-4198 [10.1109/TSP.2011.2157912] [abs].
  • 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 (2011), pp. 293-318 [10.1007/s11263-010-0416-9] [abs].
  • 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 (2011), pp. 319-347 [10.1007/s11263-010-0418-7] [abs].
  • Sapiro, G, Technical perspective: Images everywhere looking for models, Communications of the ACM, vol 54 no. 5 (2011) [10.1145/1941487.1941512] [abs].
  • Bar, L; Sapiro, G, Hierarchical invariant sparse modeling for image analysis, Proceedings / ICIP ... International Conference on Image Processing (2011), pp. 2397-2400 [10.1109/ICIP.2011.6116125] [abs].
  • Ma, Y; Niyogi, P; Sapiro, G; Vidal, R, Dimensionality reduction via subspace and submanifold learning, IEEE: Signal Processing Magazine, vol 28 no. 2 (2011), pp. 14-15+126 [10.1109/MSP.2010.940005] [abs].
  • Prasad, G; Jahanshad, N; Aganj, I; Lenglet, C; Sapiro, G; Toga, AW; Thompson, PM, Atlas-based fiber clustering for multi-subject analysis of high angular resolution diffusion imaging tractography, Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging (2011), pp. 276-280 [10.1109/ISBI.2011.5872405] [abs].
  • 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 / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging (2011), pp. 305-309 [10.1109/ISBI.2011.5872411] [abs].
  • Jahanshad, N; Aganj, I; Lenglet, C; Joshi, A; Jin, Y; Barysheva, M; McMahon, KL; Zubicaray, GID; 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 / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging (2011), pp. 939-943 [10.1109/ISBI.2011.5872558] [abs].
  • Caruyer, E; Aganj, I; Lenglet, C; Sapiro, G; Deriche, R, Online motion detection in high angular resolution diffusion imaging, Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging (2011), pp. 516-519 [10.1109/ISBI.2011.5872458] [abs].
  • 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 / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging (2011), pp. 822-826 [10.1109/ISBI.2011.5872531] [abs].
  • Ramírez, I; Sapiro, G, Sparse coding and dictionary learning based on the MDL principle, IEEE International Conference on Acoustics Speech and Signal Processing (2011), pp. 2160-2163 [10.1109/ICASSP.2011.5946755] [abs].
  • Léger, F; Yu, G; Sapiro, G, Efficient matrix completion with Gaussian models, IEEE International Conference on Acoustics Speech and Signal Processing (2011), pp. 1113-1116 [10.1109/ICASSP.2011.5946603] [abs].
  • Sprechmann, P; Ramirez, I; Cancela, P; Sapiro, G, Collaborative sources identification in mixed signals via hierarchical sparse modeling, IEEE International Conference on Acoustics Speech and Signal Processing (2011), pp. 5816-5819 [10.1109/ICASSP.2011.5947683] [abs].
  • Yu, G; Sapiro, G, Statistical compressive sensing of Gaussian mixture models, IEEE International Conference on Acoustics Speech and Signal Processing (2011), pp. 3728-3731 [10.1109/ICASSP.2011.5947161] [abs].
  • Bugeau, A; Bertalmío, M; Caselles, V; Sapiro, G, A comprehensive framework for image inpainting., IEEE Transactions on Image Processing, vol 19 no. 10 (2010), pp. 2634-2645 [10.1109/TIP.2010.2049240] [abs].
  • 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 (2010), pp. 554-566 [10.1002/mrm.22365] [abs].
  • Lecumberry, F; Pardo, A; Sapiro, G, Simultaneous object classification and segmentation with high-order multiple shape models., IEEE Transactions on Image Processing, vol 19 no. 3 (2010), pp. 625-635 [10.1109/TIP.2009.2038759] [abs].
  • White, T; Su, S; Schmidt, M; Kao, CY; Sapiro, G, The development of gyrification in childhood and adolescence., Brain and Cognition, vol 72 no. 1 (2010), pp. 36-45 [10.1016/j.bandc.2009.10.009] [abs].
  • 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. Conference (2010), pp. 3170-3173 [10.1109/IEMBS.2010.5627185] [abs].
  • 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 (2010), pp. 266-286 [10.1007/s11263-009-0301-6] [abs].
  • Castrodad, A; Xing, Z; Greer, J; Bosch, E; Carin, L; Sapiro, G, Discriminative sparse representations in hyperspectral imagery, Proceedings / ICIP ... International Conference on Image Processing (2010), pp. 1313-1316 [10.1109/ICIP.2010.5651568] [abs].
  • Paisley, J; Zhou, M; Sapiro, G; Carin, L, Nonparametric image interpolation and dictionary learning using spatially-dependent dirichlet and beta process priors, Proceedings / ICIP ... International Conference on Image Processing (2010), pp. 1869-1872 [10.1109/ICIP.2010.5653350] [abs].
  • Wright, J; Ma, Y; Mairal, J; Sapiro, G; Huang, TS; Yan, S, Sparse representation for computer vision and pattern recognition, Proceedings of the Institute of Electrical and Electronics Engineers (IEEE), vol 98 no. 6 (2010), pp. 1031-1044 [10.1109/JPROC.2010.2044470] [abs].
  • 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. Conference, vol 2010 (2010), pp. 3170-3173 [10.1109/IEMBS.2010.5627185] [abs].
  • Yu, G; Sapiro, G; Mallat, S, Image modeling and enhancement via structured sparse model selection, Proceedings / ICIP ... International Conference on Image Processing (2010), pp. 1641-1644 [10.1109/ICIP.2010.5653853] [abs].
  • 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 [10.1109/IEMBS.2010.5627185] [abs].
  • Bai, X; Wang, J; Sapiro, G, Dynamic color flow: A motion-adaptive color model for object segmentation in video, Lecture Notes in Computer Science, vol 6315 LNCS no. PART 5 (2010), pp. 617-630 [10.1007/978-3-642-15555-0_45] [abs].
  • Aganj, I; Lenglet, C; Sapiro, G, ODF maxima extraction in spherical harmonic representation via analytical search space reduction, Lecture Notes in Computer Science, vol 6362 LNCS no. PART 2 (2010), pp. 84-91 [10.1007/978-3-642-15745-5_11] [abs].
  • Bar, L; Sapiro, G, Hierarchical dictionary learning for invariant classification, IEEE International Conference on Acoustics Speech and Signal Processing (2010), pp. 3578-3581 [10.1109/ICASSP.2010.5495916] [abs].
  • Sprechmann, P; Sapiro, G, Dictionary learning and sparse coding for unsupervised clustering, IEEE International Conference on Acoustics Speech and Signal Processing (2010), pp. 2042-2045 [10.1109/ICASSP.2010.5494985] [abs].
  • 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 (2010), pp. 3501-3508 [10.1109/CVPR.2010.5539964] [abs].
  • 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 (2010), pp. 812-815 [10.1109/ISBI.2010.5490052] [abs].
  • 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) [abs].
  • Sprechmann, P; Ramirez, I; Sapiro, G; Eldar, Y, Collaborative hierarchical sparse modeling, 2010 44th Annual Conference on Information Sciences and Systems, CISS 2010 (2010) [10.1109/CISS.2010.5464845] [abs].
  • Mairal, J; Bach, F; Ponce, J; Sapiro, G, Online learning for matrix factorization and sparse coding, Journal of Machine Learning Research, vol 11 (2010), pp. 19-60 [abs].
  • Aganj, I; Lenglet, C; Sapiro, G, ODF maxima extraction in spherical harmonic representation via analytical search space reduction., Med Image Comput Comput Assist Interv, vol 13 no. Pt 2 (2010), pp. 84-91 [abs].
  • 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 (2009), pp. 3188-3199 [10.1002/hbm.20740] [abs].
  • Duarte-Carvajalino, JM; Sapiro, G, Learning to sense sparse signals: simultaneous sensing matrix and sparsifying dictionary optimization., IEEE Transactions on Image Processing, vol 18 no. 7 (2009), pp. 1395-1408 [10.1109/TIP.2009.2022459] [abs].
  • Lenglet, C; Campbell, JS; 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 (2009), pp. S111-S122 [10.1016/j.neuroimage.2008.10.054] [abs].
  • Pollick, FE; Maoz, U; Handzel, AA; Giblin, PJ; Sapiro, G; Flash, T, Three-dimensional arm movements at constant equi-affine speed., Cortex, vol 45 no. 3 (2009), pp. 325-339 [10.1016/j.cortex.2008.03.010] [abs].
  • 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 (2009), pp. 2295-2303 [abs].
  • Sundaramoorthi, G; Yezzi, A; Mennucci, AC; Sapiro, G, New possibilities with Sobolev active contours, International Journal of Computer Vision, vol 84 no. 2 (2009), pp. 113-129 [10.1007/s11263-008-0133-9] [abs].
  • 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 (2009) [10.1145/1531326.1531376] [abs].
  • 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 (2009), pp. 113-132 [10.1007/s11263-008-0191-z] [abs].
  • 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, vol 4 (2009) [10.1186/1748-7188-4-4] [abs].
  • 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 (2009), pp. 2272-2279 [10.1109/ICCV.2009.5459452] [abs].
  • 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 (2009), pp. 1033-1040 [abs].
  • Lecumberry, F; Pardo, Á; Sapiro, G, Multiple shape models for simultaneous object classification and segmentation, Proceedings / ICIP ... International Conference on Image Processing (2009), pp. 3001-3004 [10.1109/ICIP.2009.5414596] [abs].
  • 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 (2009), pp. 197-200 [10.1109/CAMSAP.2009.5413302] [abs].
  • 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, vol 5762 LNCS no. PART 2 (2009), pp. 423-431 [10.1007/978-3-642-04271-3_52] [abs].
  • 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 (2009), pp. 689-696 [abs].
  • Szlam, A; Sapiro, G, Discriminative k metrics and the Chan-Vese model for object detection and segmentation, Proceedings of SPIE - The International Society for Optical Engineering, vol 7446 (2009) [10.1117/12.825800] [abs].
  • 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 (2009), pp. 1398-1401 [10.1109/ISBI.2009.5193327] [abs].
  • Szlam, A; Sapiro, G, Discriminative k-metrics, Proceedings of the 26th International Conference On Machine Learning, ICML 2009 (2009), pp. 1009-1016 [abs].
  • Facciolo, G; Arias, P; Caselles, V; Sapiro, G, Exemplar-based interpolation of sparsely sampled images, Lecture Notes in Computer Science, vol 5681 LNCS (2009), pp. 331-344 [10.1007/978-3-642-03641-5_25] [abs].
  • 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 (2009), pp. 819-822 [10.1109/ISBI.2009.5193175] [abs].
  • Wirth, B; Bar, L; Rumpf, M; Sapiro, G, Geodesics in shape space via variational time discretization, Lecture Notes in Computer Science, vol 5681 LNCS (2009), pp. 288-302 [10.1007/978-3-642-03641-5_22] [abs].
  • Arias, P; Caselles, V; Sapiro, G, A variational framework for non-local image inpainting, Lecture Notes in Computer Science, vol 5681 LNCS (2009), pp. 345-358 [10.1007/978-3-642-03641-5_26] [abs].
  • Mairal, J; Bach, F; Ponce, J; Sapiro, G, Online dictionary learning for sparse coding, ACM International Conference Proceeding Series, vol 382 (2009) [10.1145/1553374.1553463] [abs].
  • Szlam, A; Sapiro, G, Discriminative k-metrics, ACM International Conference Proceeding Series, vol 382 (2009) [10.1145/1553374.1553503] [abs].
  • Mahmoudi, M; Sapiro, G, Three-dimensional point cloud recognition via distributions of geometric distances, Graphical Models, vol 71 no. 1 (2009), pp. 22-31 [10.1016/j.gmod.2008.10.002] [abs].
  • Aganj, I; Lenglet, C; Sapiro, G; Yacoub, E; Ugurbil, K; Harel, N, Multiple Q-shell ODF reconstruction in Q-ball imaging., Med Image Comput Comput Assist Interv, vol 12 no. Pt 2 (2009), pp. 423-431 [abs].
  • Narasimha, R; Aganj, I; Bennett, AE; Borgnia, MJ; Zabransky, D; Sapiro, G; McLaughlin, SW; Milne, JL; Subramaniam, S, Evaluation of denoising algorithms for biological electron tomography., Journal of Structural Biology, vol 164 no. 1 (2008), pp. 7-17 [10.1016/j.jsb.2008.04.006] [abs].
  • Liu, J; Bartesaghi, A; Borgnia, MJ; Sapiro, G; Subramaniam, S, Molecular architecture of native HIV-1 gp120 trimers., Nature, vol 455 no. 7209 (2008), pp. 109-113 [10.1038/nature07159] [abs].
  • 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 (2008), pp. 436-450 [10.1016/j.jsb.2008.02.008] [abs].
  • 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 (2008), pp. 746-751 [10.1109/TPAMI.2007.70843] [abs].
  • Mairal, J; Elad, M; Sapiro, G, Sparse representation for color image restoration., IEEE Transactions on Image Processing, vol 17 no. 1 (2008), pp. 53-69 [abs].
  • Rother, D; Sapiro, G; Pande, V, Statistical characterization of protein ensembles., IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol 5 no. 1 (2008), pp. 42-55 [10.1109/TCBB.2007.1061] [abs].
  • Mairal, J; Sapiro, G; Elad, M, Learning multiscale sparse representations for image and video restoration, SIAM: Multiscale Modeling and Simulation, vol 7 no. 1 (2008), pp. 214-241 [10.1137/070697653] [abs].
  • Haro, G; Randall, G; Sapiro, G, Translated poisson mixture model for stratification learning, International Journal of Computer Vision, vol 80 no. 3 (2008), pp. 358-374 [10.1007/s11263-008-0144-6] [abs].
  • 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 (2008), pp. 351-373 [10.1016/j.cviu.2008.01.002] [abs].
  • Liu, J; Bartesaghi, A; Borgnia, MJ; Sapiro, G; Subramaniam, S, Molecular Architecture of Native HIV-1 gp 120 Trimers, Chemtracts, vol 21 no. 6 (2008), pp. 227-228 [abs].
  • 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 (2008), pp. 2418-2434 [10.1109/TGRS.2008.916478] [abs].
  • 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 (2008), pp. 11.1-1118 [10.1167/8.8.11] [abs].
  • Bar, L; Sapiro, G, Generalized newton methods for energy formulations in image processing, Proceedings / ICIP ... International Conference on Image Processing (2008), pp. 809-812 [10.1109/ICIP.2008.4711878] [abs].
  • 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 (2008) [10.1109/CVPRW.2008.4563034] [abs].
  • 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 (2008) [10.1109/CVPR.2008.4587652] [abs].
  • 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 (2008) [10.1109/CVPRW.2008.4563031] [abs].
  • 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 (2008) [10.1109/CVPRW.2008.4562961] [abs].
  • 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 (2008), pp. 887-890 [10.1109/ISBI.2008.4541139] [abs].
  • 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 (2008), pp. 1625-1628 [10.1109/ISBI.2008.4541324] [abs].
  • Liao, HY; Sapiro, G, Sparse representations for limited data tomography, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI (2008), pp. 1375-1378 [10.1109/ISBI.2008.4541261] [abs].
  • Duarte-Carvajalino, JM; Sapiro, G; Velez-Reyes, M, Unsupervised spectral-spatial classification of hyperspectral imagery using real and complex features and generalized histograms, Proceedings of SPIE - The International Society for Optical Engineering, vol 6966 (2008) [10.1117/12.779142] [abs].
  • Protiere, A; Sapiro, G, Interactive image segmentation via adaptive weighted distances., IEEE Transactions on Image Processing, vol 16 no. 4 (2007), pp. 1046-1057 [abs].
  • Kao, CY; 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 (2007), pp. 530-540 [10.1109/TMI.2006.886810] [abs].
  • Patwardhan, KA; Sapiro, G; Bertalmío, M, Video inpainting under constrained camera motion., IEEE Transactions on Image Processing, vol 16 no. 2 (2007), pp. 545-553 [abs].
  • Moenning, C; Mémoli, F; Sapiro, G; Dyn, N; Dodgson, NA, Meshless geometric subdivision, Graphical Models, vol 69 no. 3-4 (2007), pp. 160-179 [10.1016/j.gmod.2006.11.001] [abs].
  • 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 (2007), pp. 206-210 [10.1109/LGRS.2006.888105] [abs].
  • 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 (2007) [10.1109/ICCV.2007.4409009] [abs].
  • Haro, G; Randall, G; Sapiro, G, Stratification learning: Detecting mixed density and dimensionality in high dimensional point clouds, Advances in Neural Information Processing Systems (2007), pp. 553-560 [abs].
  • 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 (2007) [10.1109/ICCV.2007.4408931] [abs].
  • 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 (2007) [10.1109/ICCV.2007.4409083] [abs].
  • Sundaramoorthi, G; Yezzi, A; Mennucci, AC; Sapiro, G, New possibilities with Sobolev active contours, Lecture Notes in Computer Science, vol 4485 LNCS (2007), pp. 153-164 [abs].
  • 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 (2007), pp. 304-307 [10.1109/ISBI.2007.356849] [abs].
  • 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 (2007), pp. 217-220 [10.1109/ISBI.2007.356827] [abs].
  • 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 (2007) [10.1109/CVPR.2007.383038] [abs].
  • Duarte-Carvajalino, JM; Sapiro, G; Vélez-Reyes, M; Castillo, P, Fast multi-scale regularization and segmentation of hyperspectral imagery via anisotropic diffusion and Algebraic Multigrid solvers, Proceedings of SPIE - The International Society for Optical Engineering, vol 6565 (2007) [10.1117/12.721036] [abs].
  • 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 (2007), pp. 244-247 [10.1109/ISBI.2007.356834] [abs].
  • 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 (2007) [10.1109/CVPR.2007.383401] [abs].
  • Xue, B; Guillermo, S, Distancecut: Interactive segmentation and matting of images and videos, Proceedings / ICIP ... International Conference on Image Processing, vol 2 (2007), pp. II249-II252 [10.1109/ICIP.2007.4379139] [abs].
  • 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., Journal of Organic Chemistry, vol 71 no. 14 (2006), pp. 5082-5092 [10.1021/jo052659z] [abs].
  • Yatziv, L; Sapiro, G, Fast image and video colorization using chrominance blending., IEEE Transactions on Image Processing, vol 15 no. 5 (2006), pp. 1120-1129 [abs].
  • 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 (2006), pp. 33-46 [10.1109/TCBB.2006.13] [abs].
  • Bertalmío, M; Caselles, V; Haro, G; Sapiro, G, PDE-based image and surface inpainting, Handbook of Mathematical Models in Computer Vision (2006), pp. 33-61 [10.1007/0-387-28831-7_3] [abs].
  • Greer, JB; Bertozzi, AL; Sapiro, G, Fourth order partial differential equations on general geometries, Journal of Computational Physics, vol 216 no. 1 (2006), pp. 216-246 [10.1016/j.jcp.2005.11.031] [abs].
  • Yatziv, L; Bartesaghi, A; Sapiro, G, O(N) implementation of the fast marching algorithm, Journal of Computational Physics, vol 212 no. 2 (2006), pp. 393-399 [10.1016/j.jcp.2005.08.005] [abs].
  • Patwardhan, KA; Sapiro, G; Morellas, V, A graph-based foreground representation and its application in example based people matching in video, Proceedings / ICIP ... International Conference on Image Processing, vol 5 (2006), pp. V37-V40 [10.1109/ICIP.2007.4379759] [abs].
  • 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 (2006), pp. 1168-1171 [abs].
  • Mairal, J; Sapiro, G; Elad, M, Multiscale sparse image representation with learned dictionaries, Proceedings / ICIP ... International Conference on Image Processing, vol 3 (2006), pp. III105-III108 [10.1109/ICIP.2007.4379257] [abs].
  • Mohan, A; Bartesaghi, A; Sapiro, G, Constrained regularization of digital terrain elevation data, IEEE Geoscience and Remote Sensing Letters, vol 3 no. 1 (2006), pp. 59-62 [10.1109/LGRS.2005.856702] [abs].
  • Rathi, Y; Olver, P; Sapiro, G; Tannenbaum, A, Affine invariant surface evolutions for 3D image segmentation, Proceedings of SPIE - The International Society for Optical Engineering, vol 6064 (2006) [10.1117/12.640282] [abs].
  • Hofer, M; Sapiro, G; Wallner, J, Fair polyline networks for constrained smoothing of digital terrain elevation data., IEEE T. Geoscience and Remote Sensing, vol 44 (2006), pp. 2983-2990 [10.1109/TGRS.2006.875451] [abs].
  • Martín, A; Sapiro, G; Seroussi, G, Is image steganography natural?, IEEE Transactions on Image Processing, vol 14 no. 12 (2005), pp. 2040-2050 [abs].
  • 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, vol 14 no. 9 (2005), pp. 1314-1323 [abs].
  • 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 (2005), pp. 313-347 [10.1007/s10208-004-0145-y] [abs].
  • Mahmoudi, M; Sapiro, G, Fast image and video denoising via nonlocal means of similar neighborhoods, IEEE Signal Processing Letters, vol 12 no. 12 (2005), pp. 839-842 [10.1109/LSP.2005.859509] [abs].
  • Bartesaghi, A; Sapiro, G; Malzbender, T; Gelb, D, Three-dimensional shape rendering from multiple images, Graphical Models, vol 67 no. 4 (2005), pp. 332-346 [10.1016/j.gmod.2005.02.002] [abs].
  • Patwardhan, KA; Sapiro, G; Benalmio, M, Video inpainting of occluding and occluded objects, Proceedings / ICIP ... International Conference on Image Processing, vol 2 (2005), pp. 69-72 [10.1109/ICIP.2005.1529993] [abs].
  • Bartesaghi, A; Sapiro, G, Tracking of moving objects under severe and total occlusions, Proceedings / ICIP ... International Conference on Image Processing, vol 1 (2005), pp. 301-304 [10.1109/ICIP.2005.1529747] [abs].
  • Sapiro, G, Inpainting the colors, Proceedings / ICIP ... International Conference on Image Processing, vol 2 (2005), pp. 698-701 [10.1109/ICIP.2005.1530151] [abs].
  • 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 (2005) [10.1109/VIS.2005.65] [abs].
  • 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 (2005), pp. 1227-1260 [10.1137/S003613990342877X] [abs].
  • Caselles, V; Kimmel, R; Sapiro, G, Geometric Active Contours for Image Segmentation, Handbook of Image and Video Processing (2005), pp. 613-627 [10.1016/B978-012119792-6/50099-1] [abs].
  • Solé, A; Caselles, V; Sapiro, G; Arándiga, F, Morse description and geometric encoding of digital elevation maps., IEEE Transactions on Image Processing, vol 13 no. 9 (2004), pp. 1245-1262 [abs].
  • 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 (2004), pp. 203-224 [10.1023/B:VISI.0000036835.28674.d0] [abs].
  • 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 (2004), pp. 263-292 [10.1016/j.jcp.2003.10.007] [abs].
  • 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 (2004), pp. 260-290 [10.1016/j.jcp.2004.02.015] [abs].
  • Bartesaghi, A; Sapiro, G; Malzbender, T; Gelb, D, Non-photorealistic rendering from multiple images, Proceedings / ICIP ... International Conference on Image Processing, vol 4 (2004), pp. 2403-2406 [10.1109/ICIP.2004.1421585] [abs].
  • Mémoli, F; Sapiro, G, Comparing point clouds, ACM International Conference Proceeding Series, vol 71 (2004), pp. 32-40 [10.1145/1057432.1057436] [abs].
  • Patwardhan, KA; Sapiro, G, Automatic image decomposition, Proceedings / ICIP ... International Conference on Image Processing, vol 1 (2004), pp. 645-648 [10.1109/ICIP.2004.1418837] [abs].
  • Yatziv, L; Sapiro, G; Levoy, M, Lightfield completion, Proceedings / ICIP ... International Conference on Image Processing, vol 3 (2004), pp. 1787-1790 [10.1109/ICIP.2004.1421421] [abs].
  • 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 (2004), pp. 5-8 [abs].
  • Mémoli, F; Sapiro, G; Thompson, P, Implicit brain imaging., Neuroimage, vol 23 Suppl 1 (2004), pp. S179-S188 [10.1016/j.neuroimage.2004.07.072] [abs].
  • Gorla, G; Interrante, V; Sapiro, G, Texture Synthesis for 3D Shape Representation, IEEE Transactions on Visualization and Computer Graphics, vol 9 no. 4 (2003), pp. 512-524 [10.1109/TVCG.2003.1260745] [abs].
  • Bertalmio, M; Vese, L; Sapiro, G; Osher, S, Simultaneous structure and texture image inpainting., IEEE Transactions on Image Processing, vol 12 no. 8 (2003), pp. 882-889 [10.1109/TIP.2003.815261] [abs].
  • 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, vol 12 no. 3 (2003), pp. 296-303 [10.1109/TIP.2002.804264] [abs].
  • Pardo, A; Sapiro, G, Visualization of high dynamic range images., IEEE Transactions on Image Processing, vol 12 no. 6 (2003), pp. 639-647 [10.1109/TIP.2003.812373] [abs].
  • 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 (2003), pp. 309-341 [10.1016/S0021-9991(02)00016-5] [abs].
  • Sapiro, G, Introduction to Partial Differential Equations and Variational Formulations in Image Processing, Handbook of Numerical Analysis, vol 11 (2003), pp. 383-461 [10.1016/S1570-8659(02)11006-4] [abs].
  • Solé, A; Caselles, V; Sapiro, G; Arándiga, F, Morse description and geometric encoding of DEM data, IEEE International Conference on Image Processing, vol 2 (2003), pp. 235-238 [abs].
  • Hernandez, M; Frangi, AF; Sapiro, G, Three-dimensional segmentation of brain aneurysms in CTA using non-parametric region-based information and implicit deformable models: Method and evaluation, Lecture Notes in Computer Science, vol 2879 no. PART 2 (2003), pp. 594-602 [abs].
  • Verdera, J; Caselles, V; Bertalmio, M; Sapiro, G, Inpainting surface holes, IEEE International Conference on Image Processing, vol 2 (2003), pp. 903-906 [abs].
  • Patwardhan, KA; Sapiro, G, Projection based image and video inpainting using wavelets, IEEE International Conference on Image Processing, vol 1 (2003), pp. 857-860 [abs].
  • Bertalmio, M; Vese, L; Sapiro, G; Osher, S, Image filling-in in a decomposition space, IEEE International Conference on Image Processing, vol 1 (2003), pp. 853-855 [abs].
  • Pichon, E; Niethammer, M; Sapiro, G, Color histogram equalization through mesh deformation, IEEE International Conference on Image Processing, vol 2 (2003), pp. 117-120 [abs].
  • 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].
  • Hernandez, M; Barrena, R; Hernandez, G; Sapiro, G; Frangi, AF, Pre-clinical evaluation of Implicit Deformable Models for three-dimensional segmentation of brain aneurysms in CTA, Proceedings of SPIE - The International Society for Optical Engineering, vol 5032 II (2003), pp. 1264-1274 [10.1117/12.483596] [abs].
  • Sapiro, GR, Guest editorial: Introduction to the special issue on imaging science, Journal of Mathematical Imaging and Vision, vol 18 no. 1 (2003) [10.1023/A:1021887609535] [abs].
  • Solé, AF; López, A; Sapiro, G, Crease enhancement diffusion, Computer Vision and Image Understanding, vol 84 no. 2 (2002), pp. 241-248 [10.1006/cviu.2001.0945] [abs].
  • 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 (2002), pp. 1-2 [10.1006/jvci.2002.0505] [abs].
  • Pardo, A; Sapiro, G, Visualization of high dynamic range images, IEEE International Conference on Image Processing, vol 1 (2002), pp. I/633-I/636 [abs].
  • 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 (2002), pp. I/317-I/320 [abs].
  • Interrante, V; Gorla, G; Kim, S; Hagh-Shenas, H; Sapiro, G, Texture synthesis for 3D shape representation, Journal of Vision, vol 2 no. 7 (2002) [10.1167/2.7.305] [abs].
  • 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 (2002), pp. I/309-I/312 [abs].
  • Bartesaghi, A; Sapiro, G, A system for the generation of curves on 3D brain images., Human Brain Mapping, vol 14 no. 1 (2001), pp. 1-15 [abs].
  • 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 (2001), pp. 86-93 [10.1109/42.913175] [abs].
  • 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 (2001), pp. 759-780 [10.1006/jcph.2001.6937] [abs].
  • Mémoli, F; Sapiro, G, Fast computation of weighted distance functions and geodesics on implicit hyper-surfaces, Journal of Computational Physics, vol 173 no. 2 (2001), pp. 730-764 [10.1006/jcph.2001.6910] [abs].
  • 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 (2001), pp. 2298-2306 [10.1109/36.957293] [abs].
  • 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, vol 10 no. 8 (2001), pp. 1200-1211 [10.1109/83.935036] [abs].
  • 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 (2001), pp. 943-952 [10.1016/S0031-3203(00)00045-5] [abs].
  • Tang, B; Sapiro, G; Caselles, V, Color image enhancement via chromaticity diffusion., IEEE Transactions on Image Processing, vol 10 no. 5 (2001), pp. 701-707 [10.1109/83.918563] [abs].
  • Pardo, A; Sapiro, G, Vector probability diffusion, IEEE Signal Processing Letters, vol 8 no. 4 (2001), pp. 106-109 [10.1109/97.911471] [abs].
  • 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 (2001), pp. I355-I362 [abs].
  • Haker, S; Sapiro, G; Tannenbaum, A; Washburn, D, Missile tracking using knowledge-based adaptive thresholding, IEEE International Conference on Image Processing, vol 1 (2001), pp. 786-789 [abs].
  • 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 (2001), pp. 10-16 [abs].
  • Betelu, S; Sapiro, G; Tannenbaum, A, Affine invariant erosion of 3D shapes, Proceedings of the IEEE International Conference on Computer Vision, vol 2 (2001), pp. 174-180 [abs].
  • Chung, DH; Sapiro, G, Segmenting skin lesions with partial-differential-equations-based image processing algorithms., IEEE Transactions on Medical Imaging, vol 19 no. 7 (2000), pp. 763-767 [10.1109/42.875204] [abs].
  • Weinberger, MJ; Seroussi, G; Sapiro, G, The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS., IEEE Transactions on Image Processing, vol 9 no. 8 (2000), pp. 1309-1324 [10.1109/83.855427] [abs].
  • Chung, DH; Sapiro, G, On the level lines and geometry of vector-valued images, IEEE Signal Processing Letters, vol 7 no. 9 (2000), pp. 241-243 [10.1109/97.863143] [abs].
  • Bertalmio, M; Sapiro, G; Randall, G, Morphing active contours, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 22 no. 7 (2000), pp. 733-737 [10.1109/34.865191] [abs].
  • 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 (2000), pp. 181-189 [10.1109/2945.856998] [abs].
  • Chung, DH; Sapiro, G, Segmenting skin lesions with partial differential equations based image processing algorithms, IEEE International Conference on Image Processing, vol 3 (2000), pp. [d]404-[d]407 [abs].
  • Bertalmio, M; Sapiro, G; Caselles, V; Ballester, C, Image inpainting, Proceedings of the ACM SIGGRAPH Conference on Computer Graphics (2000), pp. 417-424 [abs].
  • Tang, B; Sapiro, G; Caselles, V, Chromaticity diffusion, IEEE International Conference on Image Processing, vol 2 (2000), pp. 784-787 [abs].
  • Pardo, A; Sapiro, G, Vector probability diffusion, IEEE International Conference on Image Processing, vol 1 (2000), pp. 884-887 [abs].
  • 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 (2000), pp. 621-624 [abs].
  • Haker, S; Sapiro, G; Tannenbaum, A, Knowledge-based segmentation of SAR data with learned priors., IEEE Transactions on Image Processing, vol 9 no. 2 (2000), pp. 299-301 [10.1109/83.821747] [abs].
  • Chung, DH; Sapiro, G, Segmentation-free skeletonization of gray-scale images via PDE's, IEEE International Conference on Image Processing, vol 2 (2000), pp. 927-930 [abs].
  • 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 [10.1023/A:1008152115986] [abs].
  • 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 [10.1023/A:1008310305351] [abs].
  • Bertalmio, M; Sapiro, G; Randall, G, Region tracking on level-sets methods., IEEE Transactions on Medical Imaging, vol 18 no. 5 (1999), pp. 448-451 [10.1109/42.774172] [abs].
  • 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].
  • Weinberger, MJ; Seroussi, G; Sapiro, G, From LOCO-I to the JPEG-LS standard, IEEE International Conference on Image Processing, vol 4 (1999), pp. 68-72 [abs].
  • Caselles, V; Sapiro, G; Chung, DH, Vector median filters, morphology, and PDE's: Theoretical connections, IEEE International Conference on Image Processing, vol 4 (1999), pp. 177-181 [abs].
  • Tang, B; Sapiro, G; Caselles, V, Direction diffusion, Proceedings of the IEEE International Conference on Computer Vision, vol 2 (1999), pp. 1245-1252 [abs].
  • Sapiro, G, Color and illuminant voting, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 21 no. 11 (1999), pp. 1210-1215 [10.1109/34.809114] [abs].
  • Caselles, V; Lisani, JL; Morel, JM; Sapiro, G, Shape preserving local histogram modification., IEEE Transactions on Image Processing, vol 8 no. 2 (1999), pp. 220-230 [10.1109/83.743856] [abs].
  • Weinberger, M; Seroussi, G; Sapiro, G, LOCO-I lossless image compression algorithm: Principles and standardization into JPEG-LS, HP Laboratories Technical Report no. HPL-98-193 (1998), pp. 1-31 [abs].
  • 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 (1998), pp. 318-322 [abs].
  • 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 [abs].
  • Giblin, PJ; Sapiro, G, Affine invariant medial axis and skew symmetry, Proceedings of the IEEE International Conference on Computer Vision (1998), pp. 833-838 [abs].
  • Sapiro, G, Bilinear voting, Proceedings of the IEEE International Conference on Computer Vision (1998), pp. 178-183 [abs].
  • Teo, PC; Sapiro, G; Wandell, B, Segmenting cortical gray matter for functional MRI visualization, Proceedings of the IEEE International Conference on Computer Vision (1998), pp. 292-297 [abs].
  • Haker, S; Sapiro, G; Tannenbaum, A, Knowledge-based segmentation of SAR images, IEEE International Conference on Image Processing, vol 1 (1998), pp. 597-601 [abs].
  • Vazquez, L; Sapiro, G; Randall, G, Segmenting neurons in electronic microscopy via geometric tracing, IEEE International Conference on Image Processing, vol 3 (1998), pp. 814-818 [abs].
  • Giblin, PJ; Sapiro, G, Affine-Invariant Distances, Envelopes and Symmetry Sets, Geometriae Dedicata, vol 71 no. 3 (1998), pp. 237-261 [abs].
  • Black, MJ; Sapiro, G; Marimont, DH; Heeger, D, Robust anisotropic diffusion., IEEE Transactions on Image Processing, vol 7 no. 3 (1998), pp. 421-432 [10.1109/83.661192] [abs].
  • 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 (1997), pp. 852-863 [10.1109/42.650881] [abs].
  • Ringach, DL; Sapiro, G; Shapley, R, A subspace reverse-correlation technique for the study of visual neurons., Vision Research, vol 37 no. 17 (1997), pp. 2455-2464 [abs].
  • 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 (1997), pp. 347-353 [abs].
  • Caselles, V; Kimmel, R; Sapiro, G, Geodesic Active Contours, International Journal of Computer Vision, vol 22 no. 1 (1997), pp. 61-79 [abs].
  • Sapiro, G; Caselles, V, Contrast Enhancement via Image Evolution Flows, Graphical Models and Image Processing, vol 59 no. 6 (1997), pp. 407-416 [abs].
  • Sapiro, G, Color Snakes, Computer Vision and Image Understanding, vol 68 no. 2 (1997), pp. 247-253 [abs].
  • Caselles, V; Kimmel, R; Sapiro, G; Sbert, C, Minimal surfaces: A geometric three dimensional segmentation approach, Numerische Mathematik, vol 77 no. 4 (1997), pp. 423-451 [abs].
  • Sapiro, G; Caselles, V, Histogram Modification via Differential Equations, Journal of Differential Equations, vol 135 no. 2 (1997), pp. 238-268 [10.1006/jdeq.1996.3237] [abs].
  • Caselles, V; Lisani, JL; Morel, JM; Sapiro, G, Shape preserving local histogram modification, HP Laboratories Technical Report no. 97-58 (1997), pp. 1-20 [abs].
  • Olver, PJ; Sapiro, G; Tannenbaum, A, Invariant geometric evolutions of surfaces and volumetric smoothing, SIAM Journal on Applied Mathematics, vol 57 no. 1 (1997), pp. 176-194 [abs].
  • Teo, PC; Sapiro, G; Wandell, BA, Anisotropic smoothing of posterior probabilities, IEEE International Conference on Image Processing, vol 1 (1997), pp. 675-678 [abs].
  • Caselles, V; Lisani, JL; Morel, JM; Sapiro, G, Shape preserving local contrast enhancement, IEEE International Conference on Image Processing, vol 1 (1997), pp. 314-317 [abs].
  • 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 (1997), pp. 263-266 [abs].
  • 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 (1997), pp. 394-398 [10.1109/34.588023] [abs].
  • Teo, PC; Sapiro, G; Wandell, BA, Anatomically consistent segmentation of the human cortex for functional MRI visualization, HP Laboratories Technical Report no. 97-3 (1997), pp. 1-21 [abs].
  • 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 [abs].
  • Giblin, PJ; Sapiro, G, Affine invariant distances, envelopes and symmetry sets, HP Laboratories Technical Report no. 96-93 (1996), pp. 2-30 [abs].
  • Sapiro, G, Vector (self) snakes: A geometric framework for color, texture, and multiscale image segmentation, IEEE International Conference on Image Processing, vol 1 (1996), pp. 817-820 [abs].
  • Ringach, DL; Sapiro, G; Shapley, R, A simple reverse correlation scheme for the identification of visual neurons, Investigative Ophthalmology and Visual Science, vol 37 no. 3 (1996) [abs].
  • Sapiro, G, From active contours to anisotropic diffusion: Connections between basic PDE's in image processing, IEEE International Conference on Image Processing, vol 1 (1996), pp. 477-480 [abs].
  • Sapiro, G; Ringach, DL, Anisotropic diffusion of multivalued images with applications to color filtering., IEEE Transactions on Image Processing, vol 5 no. 11 (1996), pp. 1582-1586 [10.1109/83.541429] [abs].
  • 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 (1996), pp. 244-252 [abs].
  • 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 (1996), pp. 520-525 [abs].
  • Sapiro, G; Ringach, DL, Anisotropic diffusion of color images, Proceedings of SPIE - The International Society for Optical Engineering, vol 2657 (1996), pp. 471-482 [abs].
  • Sapiro, G, Vector-valued active contours, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1996), pp. 680-685 [abs].
  • Weinberger, MJ; Seroussi, G; Sapiro, G, LOCO-I: a low complexity, context-based, lossless image compression algorithm, Data Compression Conference Proceedings (1996), pp. 140-149 [abs].
  • Sapiro, G, Geometric partial differential equations in image analysis: past, present, and future, IEEE International Conference on Image Processing, vol 3 (1995), pp. 1-4 [abs].
  • Kimmel, R; Sapiro, G, Shortening three-dimensional curves via two-dimensional flows, Computers and Mathematics with Applications, vol 29 no. 3 (1995), pp. 49-62 [abs].
  • Sapiro, G; Bruckstein, AM, The ubiquitous ellipse, Acta Applicandae Mathematicae, vol 38 no. 2 (1995), pp. 149-161 [10.1007/BF00992844] [abs].
  • Sapiro, G; Caselles, V, Histogram modification via partial differential equations, IEEE International Conference on Image Processing, vol 3 (1995), pp. 632-635 [abs].
  • 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 [abs].
  • Sapiro, G; Tannenbaum, A, Area and length preserving geometric invariant scale-spaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 17 no. 1 (1995), pp. 67-72 [10.1109/34.368150] [abs].
  • Caselles, V; Kimmel, R; Sapiro, G, Geodesic active contours, IEEE International Conference on Computer Vision (1995), pp. 694-699 [abs].
  • Sapiro, G; Tannenbaum, A, On Affine Plane Curve Evolution, Journal of Functional Analysis, vol 119 no. 1 (1994), pp. 79-120 [10.1006/jfan.1994.1004] [abs].
  • 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 (1994), pp. 29-40 [10.1006/jvci.1994.1003] [abs].
  • Sapiro, G; Tannenbaum, A, Affine invariant scale-space, International Journal of Computer Vision, vol 11 no. 1 (1993), pp. 25-44 [abs].
  • Sapiro, G; Tannenbaum, AR, Formulating invariant heat-type curve flows, Proceedings of SPIE - The International Society for Optical Engineering, vol 2031 (1993), pp. 234-245 [abs].
  • Sapiro, G; Kimmel, R; Shaked, D; Kimia, BB; Bruckstein, AM, Implementing continuous-scale morphology via curve evolution, Pattern Recognition, vol 26 no. 9 (1993), pp. 1363-1372 [abs].