Guillermo Sapiro

NAE Member

Electrical and Computer Engineering

James B. Duke Distinguished Professor of Electrical and Computer Engineering

Guillermo Sapiro Profile Photo

Research Interests

Image and video processing, computer vision, computer graphics, computational vision, biomedical imaging, brain imaging, cryo-tomography of viruses, computational tools in cryo-tomography, computational tools in early diagnosis of psychiatric disorders, differential geometry and differential equations, scientific computation, learning and high dimensional data analysis, sparse modeling and dictionary learning, applied mathematics.

Bio

Guillermo Sapiro received his B.Sc. (summa cum laude), M.Sc., and Ph.D. from the Department of Electrical Engineering at the Technion, Israel Institute of Technology, in 1989, 1991, and 1993 respectively. After post-doctoral research at MIT, Dr. Sapiro became Member of Technical Staff at the research facilities of HP Labs in Palo Alto, California. He was with the Department of Electrical and Computer Engineering at the University of Minnesota, where he held the position of Distinguished McKnight University Professor and Vincentine Hermes-Luh Chair in Electrical and Computer Engineering. Currently he is the Edmund T. Pratt, Jr. School Professor with Duke University.

G. Sapiro works on theory and applications in computer vision, computer graphics, medical imaging, image analysis, and machine learning. He has authored and co-authored over 300 papers in these areas and has written a book published by Cambridge University Press, January 2001.

G. Sapiro was awarded the Gutwirth Scholarship for Special Excellence in Graduate Studies in 1991, the Ollendorff Fellowship for Excellence in Vision and Image Understanding Work in 1992, the Rothschild Fellowship for Post-Doctoral Studies in 1993, the Office of Naval Research Young Investigator Award in 1998, the Presidential Early Career Awards for Scientist and Engineers (PECASE) in 1998, the National Science Foundation Career Award in 1999, and the National Security Science and Engineering Faculty Fellowship in 2010. He received the test of time award at ICCV 2011. He was elected to the American Academy of Arts and Sciences on 2018.

G. Sapiro is a Fellow of IEEE and SIAM.

G. Sapiro was the founding Editor-in-Chief of the SIAM Journal on Imaging Sciences.

Education

D.Sc. Israel Institute of Technology (Israel), 1993

Positions

James B. Duke Distinguished Professor of Electrical and Computer Engineering
Professor of Electrical and Computer Engineering
Professor of Mathematics
Professor of Computer Science
Faculty Network Member of the Duke Institute for Brain Sciences

Awards, Honors, and Distinctions

Member. National Academy of Engineering. 2022
Member. American Academy of Arts & Sciences. 2018
Stansell Family Distinguished Research Award. Pratt School of Engineering. 2017
Distinguished Israel Pollack Lecturer. Technion (Haifa, Israel). 2016
Plenary Speaker. European Signal Processing Conference (EUSIPCO). 2014
Science Advisory Board. Institute for Computational and Experimental Research in Mathematics (ICERM), Brown University. 2014
Fellow. Institute of Electrical and Electronics Engineers (IEEE). 2014
Member, Board on Mathematical Sciences and their Applications (BMSA). The National Academies. 2014
Fellow. Society for Industrial and Applied Mathematics. 2013
Helmholtz Prize. IEEE Computer Society. 2011
National Security Science and Engineering Faculty Fellow. US Department of Defense. 2010

Courses Taught

ECE 891: Internship
ECE 494: Projects in Electrical and Computer Engineering
ECE 493: Projects in Electrical and Computer Engineering

Publications

Gianneschi JR, Washington KA, Nicholas J, Pilato I, LeMay-Russell S, Rivera-Cancel AM, et al. Assessing Fears of Negative Consequences in Children With Symptoms of Avoidant Restrictive Food Intake Disorder. The International journal of eating disorders. 2024 Nov;
Aikat V, Krishnappa Babu PR, Carpenter KLH, Di Martino JM, Espinosa S, Davis N, et al. Digital Phenotyping based on a Mobile App Identifies Distinct and Overlapping Features in Children Diagnosed with Autism versus ADHD. In: UIST Adjunct 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology. 2024.
Schlesinger O, Kundu R, Isaev D, Choi JY, Goetz SM, Turner DA, et al. Scalp surface estimation and head registration using sparse sampling and 3D statistical models. Comput Biol Med. 2024 Aug;178:108689.
Isaev DY, Sabatos-DeVito M, Di Martino JM, Carpenter K, Aiello R, Compton S, et al. Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report. J Autism Dev Disord. 2024 Jun;54(6):2286–97.
Krishnappa Babu PR, Di Martino JM, Carpenter KLH, Compton S, Davis N, Eichner B, et al. Large-scale Validation of a Scalable and Portable Behavioral Digital Screening Tool for Autism at Home. In: Conference on Human Factors in Computing Systems - Proceedings. 2024.
Isaev DY, Vlasova RM, Di Martino JM, Stephen CD, Schmahmann JD, Sapiro G, et al. Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria. Cerebellum (London, England). 2024 Apr;23(2):459–70.
Goldberg CB, Adams L, Blumenthal D, Brennan PF, Brown N, Butte AJ, et al. To do no harm - and the most good - with AI in health care. Nature medicine. 2024 Mar;30(3):623–7.
Huang L, Qiu Q, Sapiro G. PQ-VAE: Learning Hierarchical Discrete Representations with Progressive Quantization. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2024. p. 7550–8.
Farzam A, Tannenbaum A, Sapiro G. From Geometry to Causality-Ricci Curvature and the Reliability of Causal Inference on Networks. In: Proceedings of Machine Learning Research. 2024. p. 13086–108.
Gil NM, Bertran M, Sapiro G. Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers. In: Proceedings of Machine Learning Research. 2024. p. 2629–37.
Franz L, Viljoen M, Askew S, Brown M, Dawson G, Di Martino JM, et al. Autism Caregiver Coaching in Africa (ACACIA): Protocol for a type 1-hybrid effectiveness-implementation trial. PLoS One. 2024;19(1):e0291883.
Nazaret A, Tonekaboni S, Darnell G, Ren SY, Sapiro G, Miller AC. Modeling personalized heart rate response to exercise and environmental factors with wearables data. npj Digital Medicine. 2023 Dec 1;6(1).
Schlesinger O, Kundu R, Goetz S, Sapiro G, Peterchev AV, Di Martino JM. Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors. In: Clin Image Based Proced Fairness AI Med Imaging Ethical Philos Issues Med Imaging (2023). 2023. p. 12–20.
Perochon S, Di Martino JM, Carpenter KLH, Compton S, Davis N, Eichner B, et al. Early detection of autism using digital behavioral phenotyping. Nat Med. 2023 Oct;29(10):2489–97.
Nazaret A, Sapiro G. A large-scale observational study of the causal effects of a behavioral health nudge. Science advances. 2023 Sep;9(38):eadi1752.
Chen J, Engelhard M, Henao R, Berchuck S, Eichner B, Perrin EM, et al. Enhancing early autism prediction based on electronic records using clinical narratives. J Biomed Inform. 2023 Aug;144:104390.
Coffman M, Di Martino JM, Aiello R, Carpenter KLH, Chang Z, Compton S, et al. Relationship between quantitative digital behavioral features and clinical profiles in young autistic children. Autism Res. 2023 Jul;16(7):1360–74.
Krishnappa Babu PR, Aikat V, Di Martino JM, Chang Z, Perochon S, Espinosa S, et al. Blink rate and facial orientation reveal distinctive patterns of attentional engagement in autistic toddlers: a digital phenotyping approach. Sci Rep. 2023 May 3;13(1):7158.
Perochon S, Matias Di Martino J, Carpenter KLH, Compton S, Davis N, Espinosa S, et al. A tablet-based game for the assessment of visual motor skills in autistic children. NPJ Digit Med. 2023 Feb 3;6(1):17.
Engelhard MM, Henao R, Berchuck SI, Chen J, Eichner B, Herkert D, et al. Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year. JAMA Netw Open. 2023 Feb 1;6(2):e2254303.
Krishnappa Babu PR, Di Martino JM, Chang Z, Perochon S, Aiello R, Carpenter KLH, et al. Complexity analysis of head movements in autistic toddlers. J Child Psychol Psychiatry. 2023 Jan;64(1):156–66.
Babu PRK, Di Martino JM, Chang Z, Perochon S, Carpenter KLH, Compton S, et al. Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder. IEEE Trans Affect Comput. 2023;14(2):919–30.
Solomon O, Patriat R, Braun H, Palnitkar TE, Moeller S, Auerbach EJ, et al. Motion robust magnetic resonance imaging via efficient Fourier aggregation. Medical image analysis. 2023 Jan;83:102638.
Major S, Isaev D, Grapel J, Calnan T, Tenenbaum E, Carpenter K, et al. Shorter average look durations to dynamic social stimuli are associated with higher levels of autism symptoms in young autistic children. Autism. 2022 Aug;26(6):1451–9.
Papadaki A, Martinez N, Bertran M, Sapiro G, Rodrigues M. Minimax Demographic Group Fairness in Federated Learning. In: ACM International Conference Proceeding Series. 2022. p. 142–59.
Chaudhary UN, Kelly CN, Wesorick BR, Reese CM, Gall K, Adams SB, et al. Computational and image processing methods for analysis and automation of anatomical alignment and joint spacing in reconstructive surgery. Int J Comput Assist Radiol Surg. 2022 Mar;17(3):541–51.
Kim YK, Di Martino JM, Nicholas J, Rivera-Cancel A, Wildes JE, Marcus MD, et al. Parent strategies for expanding food variety: Reflections of 19,239 adults with symptoms of Avoidant/Restrictive Food Intake Disorder. Int J Eat Disord. 2022 Jan;55(1):108–19.
Simhal AK, Carpenter KLH, Kurtzberg J, Song A, Tannenbaum A, Zhang L, et al. Changes in the geometry and robustness of diffusion tensor imaging networks: Secondary analysis from a randomized controlled trial of young autistic children receiving an umbilical cord blood infusion. Front Psychiatry. 2022;13:1026279.
Skerrett E, Miao Z, Asiedu MN, Richards M, Crouch B, Sapiro G, et al. Multicontrast Pocket Colposcopy Cervical Cancer Diagnostic Algorithm for Referral Populations. BME frontiers. 2022 Jan;2022:9823184.
Zhu W, Qiu Q, Calderbank R, Sapiro G, Cheng X. Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters. Journal of Machine Learning Research. 2022 Jan 1;23.
Azami H, Chang Z, Arnold SE, Sapiro G, Gupta AS. Detection of Oculomotor Dysmetria From Mobile Phone Video of the Horizontal Saccades Task Using Signal Processing and Machine Learning Approaches. IEEE access : practical innovations, open solutions. 2022 Jan;10:34022–31.
Perochon S, Di Martino M, Aiello R, Baker J, Carpenter K, Chang Z, et al. A scalable computational approach to assessing response to name in toddlers with autism. J Child Psychol Psychiatry. 2021 Sep;62(9):1120–31.
Chang Z, Di Martino JM, Aiello R, Baker J, Carpenter K, Compton S, et al. Computational Methods to Measure Patterns of Gaze in Toddlers With Autism Spectrum Disorder. JAMA Pediatr. 2021 Aug 1;175(8):827–36.
Emani PS, Warrell J, Anticevic A, Bekiranov S, Gandal M, McConnell MJ, et al. Quantum computing at the frontiers of biological sciences. Nature methods. 2021 Jul;18(7):701–9.
Dong H, Wang Z, Qiu Q, Sapiro G. Using text to teach image retrieval. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2021. p. 1643–52.
Solomon O, Palnitkar T, Patriat R, Braun H, Aman J, Park MC, et al. Deep-learning based fully automatic segmentation of the globus pallidus interna and externa using ultra-high 7 Tesla MRI. Human brain mapping. 2021 Jun;42(9):2862–79.
Carpenter KLH, Hahemi J, Campbell K, Lippmann SJ, Baker JP, Egger HL, et al. Digital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism. Autism Res. 2021 Mar;14(3):488–99.
Hashemi J, Dawson G, Carpenter KLH, Campbell K, Qiu Q, Espinosa S, et al. Computer Vision Analysis for Quantification of Autism Risk Behaviors. IEEE Trans Affect Comput. 2021;12(1):215–26.
Achddou R, Di Martino JM, Sapiro G. Nested learning for multi-level classification. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2021. p. 2815–9.
Bovery M, Dawson G, Hashemi J, Sapiro G. A Scalable Off-the-Shelf Framework for Measuring Patterns of Attention in Young Children and its Application in Autism Spectrum Disorder. IEEE Trans Affect Comput. 2021;12(3):722–31.
Wang Z, Ding S, Li Y, Fenn J, Roychowdhury S, Wallin A, et al. Cirrus: A Long-range Bi-pattern LiDAR Dataset. In: Proceedings - IEEE International Conference on Robotics and Automation. 2021. p. 5744–50.
Martinez N, Bertran M, Papadaki A, Rodrigues M, Sapiro G. Blind Pareto Fairness and Subgroup Robustness. In: Proceedings of Machine Learning Research. 2021. p. 7492–501.
Di Martino JM, Qiu Q, Sapiro G. Rethinking Shape From Shading for Spoofing Detection. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2021 Jan;30:1086–99.
Chang Z, Chen Z, Stephen CD, Schmahmann JD, Wu H-T, Sapiro G, et al. Accurate detection of cerebellar smooth pursuit eye movement abnormalities via mobile phone video and machine learning. Scientific reports. 2020 Oct;10(1):18641.
Major S, Campbell K, Espinosa S, Baker JP, Carpenter KL, Sapiro G, et al. Impact of a digital Modified Checklist for Autism in Toddlers-Revised on likelihood and age of autism diagnosis and referral for developmental evaluation. Autism. 2020 Oct;24(7):1629–38.
Isaev DY, Tchapyjnikov D, Cotten CM, Tanaka D, Martinez N, Bertran M, et al. Attention-Based Network for Weak Labels in Neonatal Seizure Detection. Proc Mach Learn Res. 2020 Aug;126:479–507.
Tenenbaum EJ, Carpenter KLH, Sabatos-DeVito M, Hashemi J, Vermeer S, Sapiro G, et al. A Six-Minute Measure of Vocalizations in Toddlers with Autism Spectrum Disorder. Autism Res. 2020 Aug;13(8):1373–82.
Simhal AK, Carpenter KLH, Nadeem S, Kurtzberg J, Song A, Tannenbaum A, et al. Measuring robustness of brain networks in autism spectrum disorder with Ricci curvature. Sci Rep. 2020 Jul 2;10(1):10819.
Martino JMD, Suzacq F, Delbracio M, Qiu Q, Sapiro G. Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. IEEE transactions on pattern analysis and machine intelligence. 2020 Jul;42(7):1582–93.
Asiedu MN, Skerrett E, Sapiro G, Ramanujam N. Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcope. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2020. p. 1148–51.
Isaev DY, Major S, Murias M, Carpenter KLH, Carlson D, Sapiro G, et al. Relative Average Look Duration and its Association with Neurophysiological Activity in Young Children with Autism Spectrum Disorder. Sci Rep. 2020 Feb 5;10(1):1912.
Dawson G, Campbell K, Hashemi J, Lippmann SJ, Smith V, Carpenter K, et al. Author Correction: Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder. Sci Rep. 2020 Jan 14;10(1):616.
Cohen G, Sapiro G, Giryes R. Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2020. p. 14441–50.
Giryes R, Sapiro G, Bronstein AM. Erratum: Deep neural networks with random Gaussian weights: A universal classification strategy? (IEEE Transactions on Signal Processing (2016) 64:13 (3444-3457) DOI: 10.1109/TSP.2016.2546221). IEEE Transactions on Signal Processing. 2020 Jan 1;68:529–31.
Bertran M, Martinezf N, Phielipp M, Sapiro G. Instance-based generalization in reinforcement learning. In: Advances in Neural Information Processing Systems. 2020.
Martinez N, Bertran M, Sapiro G. Minimax pareto fairness: A multi objective perspective. In: 37th International Conference on Machine Learning, ICML 2020. 2020. p. 6711–20.
Wang Z, Cheng X, Sapiro G, Qiu Q. STOCHASTIC CONDITIONAL GENERATIVE NETWORKS WITH BASIS DECOMPOSITION. In: 8th International Conference on Learning Representations, ICLR 2020. 2020.
Wang Z, Cheng X, Sapiro G, Qiu Q. A dictionary approach to domain-invariant learning in deep networks. In: Advances in Neural Information Processing Systems. 2020.
Wang Z, DIng S, Li Y, Zhao M, Roychowdhury S, Wallin A, et al. Range adaptation for 3d object detection in LiDAR. Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. 2019 Oct 1;2320–8.
Chang Z, DI Martino JM, Qiu Q, Espinosa S, Sapiro G. Salgaze: Personalizing gaze estimation using visual saliency. Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. 2019 Oct 1;1169–78.
Martinez N, Bertran M, Sapiro G, Wu HT. Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video. In: Proceedings - International Conference on Image Processing, ICIP. 2019. p. 2020–4.
Simhal AK, Zuo Y, Perez MM, Madison DV, Sapiro G, Micheva KD. Multifaceted Changes in Synaptic Composition and Astrocytic Involvement in a Mouse Model of Fragile X Syndrome. Scientific reports. 2019 Sep;9(1):13855.
Asiedu MN, Simhal A, Chaudhary U, Mueller JL, Lam CT, Schmitt JW, et al. Development of Algorithms for Automated Detection of Cervical Pre-Cancers With a Low-Cost, Point-of-Care, Pocket Colposcope. IEEE Trans Biomed Eng. 2019 Aug;66(8):2306–18.
Cheng X, Qiu Q, Calderbank R, Sapiro G. RotDCF: Decomposition of convolutional filters for rotation-equivariant deep networks. In 2019.
Campbell K, Carpenter KL, Hashemi J, Espinosa S, Marsan S, Borg JS, et al. Computer vision analysis captures atypical attention in toddlers with autism. Autism. 2019 Apr;23(3):619–28.
Dawson G, Sapiro G. Potential for Digital Behavioral Measurement Tools to Transform the Detection and Diagnosis of Autism Spectrum Disorder. JAMA Pediatr. 2019 Apr 1;173(4):305–6.
Shamir RR, Duchin Y, Kim J, Patriat R, Marmor O, Bergman H, et al. Microelectrode Recordings Validate the Clinical Visualization of Subthalamic-Nucleus Based on 7T Magnetic Resonance Imaging and Machine Learning for Deep Brain Stimulation Surgery. Neurosurgery. 2019 Mar;84(3):749–57.
Sapiro G, Hashemi J, Dawson G. Computer vision and behavioral phenotyping: an autism case study. Curr Opin Biomed Eng. 2019 Mar;9:14–20.
Kim J, Duchin Y, Shamir RR, Patriat R, Vitek J, Harel N, et al. 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. 2019 Feb;40(2):679–98.
Fellous J-M, Sapiro G, Rossi A, Mayberg H, Ferrante M. Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation. Frontiers in neuroscience. 2019 Jan;13:1346.
Cheng X, Qiu Q, Calderbank R, Sapiro G. RoTDCF: Decomposition of convolutional filters for rotation-equivariant deep networks. 7th International Conference on Learning Representations, ICLR 2019. 2019 Jan 1;
Azami H, Arnold SE, Sanei S, Chang Z, Sapiro G, Escudero J, et al. Multiscale fluctuation-based dispersion entropy and its applications to neurological diseases. IEEE Access. 2019 Jan 1;7:68718–33.
Bertran M, Martinez N, Papadaki A, Qiu Q, Rodrigues M, Reeves G, et al. Adversarially learned representations for information obfuscation and inference. In: 36th International Conference on Machine Learning, ICML 2019. 2019. p. 960–74.
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. 2018 Dec 14;2743–51.
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. 2018 Dec 14;8109–18.
Dawson G, Campbell K, Hashemi J, Lippmann SJ, Smith V, Carpenter K, et al. Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder. Sci Rep. 2018 Nov 19;8(1):17008.
Giryes R, Eldar YC, Bronstein AM, Sapiro G. The Learned Inexact Project Gradient Descent Algorithm. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2018. p. 6767–71.
Aguerrebere C, Delbracio M, Bartesaghi A, Sapiro G. A Practical Guide to Multi-Image Alignment. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2018 Sep 10;2018-April:1927–31.
Ahn HK, Qiu Q, Bosch E, Thompson A, Robles FE, Sapiro G, et al. Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2018. p. 4209–13.
Bartesaghi A, Aguerrebere C, Falconieri V, Banerjee S, Earl LA, Zhu X, et al. Atomic Resolution Cryo-EM Structure of β-Galactosidase. Structure (London, England : 1993). 2018 Jun;26(6):848-856.e3.
Giryes R, Eldar YC, Bronstein AM, Sapiro G. Tradeoffs between convergence speed and reconstruction accuracy in inverse problems. IEEE Transactions on Signal Processing. 2018 Apr 1;66(7):1676–90.
Vu M-AT, Adalı T, Ba D, Buzsáki G, Carlson D, Heller K, et al. A Shared Vision for Machine Learning in Neuroscience. J Neurosci. 2018 Feb 14;38(7):1601–7.
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. 2018 Feb;167:488–503.
Simhal AK, Gong B, Trimmer JS, Weinberg RJ, Smith SJ, Sapiro G, et al. A Computational Synaptic Antibody Characterization Tool for Array Tomography. Frontiers in neuroanatomy. 2018 Jan;12:51.
Bertrán MA, Martínez NL, Wang Y, Dunson D, Sapiro G, Ringach D. Active learning of cortical connectivity from two-photon imaging data. PloS one. 2018 Jan;13(5):e0196527.
Egger HL, Dawson G, Hashemi J, Carpenter KLH, Espinosa S, Campbell K, et al. Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study. NPJ Digit Med. 2018;1:20.
Asiedu MN, Simhal A, Lam CT, Mueller J, Chaudhary U, Schmitt JW, et al. Image processing and machine learning techniques to automate diagnosis of Lugol's iodine cervigrams for a low-cost point-of-care digital colposcope. In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2018.
Chiew KS, Hashemi J, Gans LK, Lerebours L, Clement NJ, Vu M-AT, et al. Motivational valence alters memory formation without altering exploration of a real-life spatial environment. PLoS One. 2018;13(3):e0193506.
Qiu Q, Cheng X, Calderbank R, Sapiro G. DCFNet: Deep Neural Network with Decomposed Convolutional Filters. 35th International Conference on Machine Learning, ICML 2018. 2018 Jan 1;9:6687–96.
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). 2018 Jan 1;11206 LNCS:442–59.
Duchin Y, Shamir RR, Patriat R, Kim J, Vitek JL, Sapiro G, et al. Patient-specific anatomical model for deep brain stimulation based on 7 Tesla MRI. PloS one. 2018 Jan;13(8):e0201469.
Ye Q, Zhang T, Ke W, Qiu Q, Chen J, Sapiro G, et al. Self-learning scene-specific pedestrian detectors using a progressive latent model. Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. 2017 Nov 6;2017-January:2057–66.
Su S, Delbracio M, Wang J, Sapiro G, Heidrich W, Wang O. Deep video deblurring for hand-held cameras. In: Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. 2017. p. 237–46.
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. 2017 Nov 6;2017-January:6807–16.
Tepper M, Sapiro G. Nonnegative matrix underapproximation for robust multiple model fitting. In: Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. 2017. p. 655–63.
Sokolić J, Giryes R, Sapiro G, Rodrigues MRD. Generalization error of deep neural networks: Role of classification margin and data structure. In: 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017. 2017. p. 147–51.
Pisharady PK, Sotiropoulos SN, Sapiro G, Lenglet C. A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI. In: Medical image computing and computer-assisted intervention : MICCAI . International Conference on Medical Image Computing and Computer-Assisted Intervention. 2017. p. 602–10.
Sokolić J, Giryes R, Sapiro G, Rodrigues MRD. Robust Large Margin Deep Neural Networks. IEEE Transactions on Signal Processing. 2017 Aug 15;65(16):4265–80.
Qiu Q, Hashemi J, Sapiro G. Intelligent synthesis driven model calibration: framework and face recognition application. In: Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017. 2017. p. 2564–72.
Sokolić J, Qiu Q, Rodrigues MRD, Sapiro G. Learning to identify while failing to discriminate. In: Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017. 2017. p. 2537–44.
Simhal AK, Aguerrebere C, Collman F, Vogelstein JT, Micheva KD, Weinberg RJ, et al. Probabilistic fluorescence-based synapse detection. PLoS computational biology. 2017 Apr;13(4):e1005493.
Campbell K, Carpenter KLH, Espinosa S, Hashemi J, Qiu Q, Tepper M, et al. Use of a Digital Modified Checklist for Autism in Toddlers - Revised with Follow-up to Improve Quality of Screening for Autism. J Pediatr. 2017 Apr;183:133-139.e1.
Chen J, Chang Z, Qiu Q, Li X, Sapiro G, Bronstein A, et al. RealSense = real heart rate: Illumination invariant heart rate estimation from videos. In: 2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016. 2017.
Gunalan K, Chaturvedi A, Howell B, Duchin Y, Lempka SF, Patriat R, et al. Creating and parameterizing patient-specific deep brain stimulation pathway-activation models using the hyperdirect pathway as an example. PloS one. 2017 Jan;12(4):e0176132.
Sokolić J, Giryes R, Sapiro G, Rodrigues MRD. Generalization error of invariant classifiers. In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017. 2017.
Sokolić J, Giryes R, Sapiro G, Rodrigues MRD. Generalization error of invariant classifiers. In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017. 2017.
Lezama J, Mukherjee D, McNabb RP, Sapiro G, Kuo AN, Farsiu S. Segmentation guided registration of wide field-of-view retinal optical coherence tomography volumes. Biomed Opt Express. 2016 Dec 1;7(12):4827–46.
Aguerrebere C, Delbracio M, Bartesaghi A, Sapiro G. Fundamental limits in multi-image alignment. IEEE Transactions on Signal Processing. 2016 Nov 1;64(21):5707–22.
Elhamifar E, Sapiro G, Sastry SS. Dissimilarity-Based Sparse Subset Selection. IEEE transactions on pattern analysis and machine intelligence. 2016 Nov;38(11):2182–97.
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. In: Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop. 2016.
Giryes R, Sapiro G, Bronstein AM. Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? IEEE Transactions on Signal Processing. 2016 Jul 1;64(13):3444–57.
Tepper M, Sapiro G. A short-graph fourier transform via personalized pagerank vectors. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2016. p. 4806–10.
Tepper M, Sapiro G. Compressed Nonnegative Matrix Factorization Is Fast and Accurate. IEEE Transactions on Signal Processing. 2016 May 1;64(9):2269–83.
Qiu Q, Thompson A, Calderbank R, Sapiro G. Data Representation Using the Weyl Transform. IEEE Transactions on Signal Processing. 2016 Apr 1;64(7):1844–53.
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. 2016 Jan;38(1):60–73.
Pokrass J, Bronstein AM, Bronstein MM, Sprechmann P, Sapiro G. Sparse models for intrinsic shape correspondence. In: Mathematics and Visualization. 2016. p. 211–30.
Carpenter KLH, Sprechmann P, Calderbank R, Sapiro G, Egger HL. Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach. PLoS One. 2016;11(11):e0165524.
Chang Z, Qiu Q, Sapiro G. Synthesis-based low-cost gaze analysis. In: Communications in Computer and Information Science. 2016. p. 95–100.
Hashemi J, Qiu Q, Sapiro G. Cross-modality pose-invariant facial expression. In: Proceedings - International Conference on Image Processing, ICIP. 2015. p. 4007–11.
Kim J, Duchin Y, Sapiro G, Vitek J, Harel N. Clinical deep brain stimulation region prediction using regression forests from high-field MRI. In: Proceedings - International Conference on Image Processing, ICIP. 2015. p. 2480–4.
Tepper M, Newson A, Sprechmann P, Sapiro G. Multi-temporal foreground detection in videos. In: Proceedings - International Conference on Image Processing, ICIP. 2015. p. 4599–603.
Delbracio M, Sapiro G. Hand-Held Video Deblurring Via Efficient Fourier Aggregation. IEEE Transactions on Computational Imaging. 2015 Dec 1;1(4):270–83.
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. 2015 Nov;24(11):3293–307.
Delbracio M, Sapiro G. Burst deblurring: Removing camera shake through fourier burst accumulation. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2015. p. 2385–93.
Pisharady PK, Duarte-Carvajalino JM, Sotiropoulos SN, Sapiro G, Lenglet C. Sparse Bayesian Inference of White Matter Fiber Orientations from Compressed Multi-resolution Diffusion MRI. In 2015. p. 117–24.
Sprechmann P, Bronstein AM, Sapiro G. Learning Efficient Sparse and Low Rank Models. IEEE transactions on pattern analysis and machine intelligence. 2015 Sep;37(9):1821–33.
Huang J, Qiu Q, Calderbank R, Rodrigues M, Sapiro G. Alignment with intra-class structure can improve classification. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2015. p. 1921–5.
Kim J, Duchin Y, Sapiro G, Vitek J, Harel N. Clinical subthalamic nucleus prediction from high-field brain MRI. In: Proceedings - International Symposium on Biomedical Imaging. 2015. p. 1264–7.
Lucas JE, Sapiro G. Cancer: What's luck got to do with it? Significance. 2015 Apr 1;12(2):40–2.
Fiori M, Sapiro G. On spectral properties for graph matching and graph isomorphism problems. Information and Inference. 2015 Mar 1;4(1):63–76.
Huang J, Qiu Q, Calderbank R, Sapiro G. Geometry-aware deep transform. In: Proceedings of the IEEE International Conference on Computer Vision. 2015. p. 4139–47.
Aganj I, Sapiro G, Harel N. Q-Space Modeling in Diffusion-Weighted MRI. In: Brain Mapping: An Encyclopedic Reference. 2015. p. 257–63.
Qiu Q, Sapiro G. Learning transformations for clustering and classification. Journal of Machine Learning Research. 2015 Feb 1;16:187–225.
Huang J, Qiu Q, Sapiro G, Calderbank R. Discriminative robust transformation learning. In: Advances in Neural Information Processing Systems. 2015. p. 1333–41.
Yang J, Liao X, Yuan X, Llull P, Brady DJ, Sapiro G, et al. Compressive sensing by learning a Gaussian mixture model from measurements. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2015 Jan;24(1):106–19.
Sprechmann P, Bronstein AM, Sapiro G. Supervised non-negative matrix factorization for audio source separation. In: Applied and Numerical Harmonic Analysis. 2015. p. 407–20.
Llull P, Yuan X, Liao X, Yang J, Kittle D, Carin L, et al. Temporal compressive sensing for video. In 2015. p. 41–74.
Qiu Q, Chang Z, Draelos M, Chen J, Bronstein A, Sapiro G. Low-cost Gaze and Pulse Analysis using RealSense. In: Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering); 2015. p. 276–9.
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. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2015. p. 587–94.
Draelos M, Qiu Q, Bronstein A, Sapiro G. Intel realsense= real low cost gaze. In: Image Processing (ICIP), 2015 IEEE International Conference on. IEEE; 2015. p. 2520–4.
Qiu Q, Thompson A, Calderbank R, Sapiro G. Data representation using the Weyl transform. In: 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings. 2015.
Qiu Q, Thompson A, Calderbank R, Sapiro G. Data representation using the Weyl transform. In: 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings. 2015.
Qiu Q, Sapiro G, Bronstein A. Random forests can hash. In: 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings. 2015.
Giryes R, Sapiro G, Bronstein AM. On the stability of deep networks. In: 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings. 2015.
Giryes R, Sapiro G, Bronstein AM. On the stability of deep networks. In: 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings. 2015.
Qiu Q, Sapiro G, Bronstein A. Random forests can hash. 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings. 2015 Jan 1;
Tepper M, Sapiro G. From local to global communities in large networks through consensus. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2015. p. 659–66.
Hashemi J, Campbell K, Carpenter K, Harris A, Qiu Q, Tepper M, et al. A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study. Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare. 2015;23–7.
Tepper M, Sapiro G. A biclustering framework for consensus problems. SIAM Journal on Imaging Sciences. 2014 Nov 25;7(4):2488–552.
Yang J, Yuan X, Liao X, Llull P, Brady DJ, Sapiro G, et al. Video compressive sensing using Gaussian mixture models. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2014 Nov;23(11):4863–78.
Duarte-Carvajalino JM, Lenglet C, Xu J, Yacoub E, Ugurbil K, Moeller S, et al. Estimation of the CSA-ODF using Bayesian compressed sensing of multi-shell HARDI. Magnetic resonance in medicine. 2014 Nov;72(5):1471–85.
Yuan X, Llull P, Liao X, Yang J, Brady DJ, Sapiro G, et al. Low-cost compressive sensing for color video and depth. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2014. p. 3318–25.
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. 2014 Sep;18(5):1678–95.
Prasad G, Joshi SH, Jahanshad N, Villalon-Reina J, Aganj I, Lenglet C, et al. Automatic clustering and population analysis of white matter tracts using maximum density paths. NeuroImage. 2014 Aug;97:284–95.
Yoo TS, Lowekamp BC, Kuybeda O, Narayan K, Frank GA, Bartesaghi A, et al. Accelerating discovery in 3D microanalysis: Leveraging open source software and deskside high performance computing. In: Microscopy and Microanalysis. 2014. p. 774–5.
Harrison BD, Hashemi J, Bibi M, Pulver R, Bavli D, Nahmias Y, et al. A tetraploid intermediate precedes aneuploid formation in yeasts exposed to fluconazole. PLoS biology. 2014 Mar;12(3):e1001815.
Qiu Q, Sapiro G. Learning Transformations. In: 2014 IEEE International Conference on Image Processing, ICIP 2014. 2014. p. 4008–12.
Qiu Q, Sapiro G. Learning compressed image classification features. In: 2014 IEEE International Conference on Image Processing, ICIP 2014. 2014. p. 5761–5.
Tepper M, Sapiro G. Intersecting 2D lines: A simple method for detecting vanishing points. In: 2014 IEEE International Conference on Image Processing, ICIP 2014. 2014. p. 1056–60.
Dennis EL, Zhan L, Jahanshad N, Mueller BA, Jin Y, Lenglet C, et al. Rich club analysis of structural brain connectivity at 7 tesla versus 3 tesla. In: Mathematics and Visualization. 2014. p. 209–18.
Fiori M, Musé P, Sapiro G. A complete system for candidate polyps detection in virtual colonoscopy. International Journal of Pattern Recognition and Artificial Intelligence. 2014 Jan 1;28(7).
Tepper M, Sapiro G. All for one, one for all: Consensus community detection in networks. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2014 Jan 1;1075–9.
Carpenter K, Sprechmann P, Fiori M, Calderbank R, Egger H, Sapiro G. Questionnaire simplification for fast risk analysis of children's mental health. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2014 Jan 1;6009–13.
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. 2014 Jan 1;11–5.
Fedkiw R, Morel JM, Sapiro G, Shu CW, Yin W. The work of Stanley Osher. In: Proceeding of the International Congress of Mathematicans, ICM 2014. 2014. p. 90–113.
Hashemi J, Tepper M, Vallin Spina T, Esler A, Morellas V, Papanikolopoulos N, et al. Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants. Autism Res Treat. 2014;2014:935686.
Qiu Q, Sapiro G. Learning transformations for classification forests. In: 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings. 2014.
Masci J, Bronstein AM, Bronstein MM, Sprechmann P, Sapiro G. Sparse similarity-preserving hashing. In: 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings. 2014.
Masci J, Bronstein AM, Bronstein MM, Sprechmann P, Sapiro G. Sparse similarity-preserving hashing. In: 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings. 2014.
Qiu Q, Sapiro G. Learning transformations for classification forests. 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings. 2014 Jan 1;
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). 2013 Dec 1;8259 LNCS(PART 2):181–9.
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. 2013 Dec 1;2166–72.
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). 2013 Dec 1;8259 LNCS(PART 2):552–9.
Sprechmann P, Bronstein A, Morel JM, Sapiro G. Audio restoration from multiple copies. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2013 Oct 18;878–82.
Sprechmann P, Bronstein A, Bronstein M, Sapiro G. Learnable low rank sparse models for speech denoising. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2013 Oct 18;136–40.
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 Oct 15;46–9.
Sotiropoulos SN, Jbabdi S, Xu J, Andersson JL, Moeller S, Auerbach EJ, et al. Advances in diffusion MRI acquisition and processing in the Human Connectome Project. NeuroImage. 2013 Oct;80:125–43.
Uğurbil K, Xu J, Auerbach EJ, Moeller S, Vu AT, Duarte-Carvajalino JM, et al. Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project. NeuroImage. 2013 Oct;80:80–104.
Qiu Q, Sapiro G. Learning Robust Subspace Clustering. 2013 Aug 1;
Qiu Q, Sapiro G, Chen C-H. Domain-invariant Face Recognition using Learned Low-rank Transformation. 2013 Aug 1;
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 Aug;35(8):1887–901.
Caruyer E, Lenglet C, Sapiro G, Deriche R. Design of multishell sampling schemes with uniform coverage in diffusion MRI. Magnetic resonance in medicine. 2013 Jun;69(6):1534–40.
Spina TV, Tepper M, Esler A, Morellas V, Papanikolopoulos N, Falcão AX, et al. Video Human Segmentation using Fuzzy Object Models and its Application to Body Pose Estimation of Toddlers for Behavior Studies. 2013 May 29;
Su S, White T, Schmidt M, Kao C-Y, Sapiro G. Geometric computation of human gyrification indexes from magnetic resonance images. Human brain mapping. 2013 May;34(5):1230–44.
Llull P, Liao X, Yuan X, Yang J, Kittle D, Carin L, et al. Coded aperture compressive temporal imaging. Optics express. 2013 May;21(9):10526–45.
Harris AK, Meyerson JR, Matsuoka Y, Kuybeda O, Moran A, Bliss D, et al. 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. 2013 Mar;110(12):4592–7.
Kuybeda O, Frank GA, Bartesaghi A, Borgnia M, Subramaniam S, Sapiro G. A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography. J Struct Biol. 2013 Feb;181(2):116–27.
Duarte-Carvajalino JM, Yu G, Carin L, Sapiro G. Task-driven adaptive statistical compressive sensing of gaussian mixture models. IEEE Transactions on Signal Processing. 2013 Jan 21;61(3):585–600.
Duarte-Carvajalino JM, Yu G, Carin L, Sapiro G. Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models. IEEE Trans Signal Process. 2013;61:585–600.
Tang Z, Tepper M, Sapiro G. Reflective Symmetry Detection by Rectifying Randomized Correspondences. In: Procedings of the British Machine Vision Conference 2013. British Machine Vision Association; 2013. p. 115.1-115.11.
Harris AK, Meyerson JR, Matsuoka Y, Kuybeda O, Moran A, Bliss D, et al. Molecular Structures of Native HA Trimers on 2009 H1N1 Pandemic Influenza Virus Complexed with Neutralizing Antibodies. In: Biophysical Journal. Elsevier BV; 2013. p. 414a-414a.
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. In: Biophysical Journal. Elsevier BV; 2013. p. 350a-351a.
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 Jan 1;
Llull P, Liao X, Yuan X, Yang J, Kittle D, Carin L, et al. Compressive sensing for video using a passive coding element. Optics InfoBase Conference Papers. 2013 Jan 1;
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 Jan 1;504–8.
Yang J, Yuan X, Liao X, Llull P, Sapiro G, Brady DJ, et al. Gaussian mixture model for video compressive sensing. 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. 2013 Jan 1;19–23.
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 Jan;
Pokrass J, Bronstein AM, Bronstein MM, Sprechmann P, Sapiro G. Sparse modeling of intrinsic correspondences. Computer Graphics Forum. 2013 Jan 1;32(2 PART4):459–68.
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 Jan 1;209–16.
Caruyer E, Aganj I, Lenglet C, Sapiro G, Deriche R. Motion Detection in Diffusion MRI via Online ODF Estimation. International journal of biomedical imaging. 2013 Jan;2013:849363.
Yuan X, Yang J, Llull P, Liao X, Sapiro G, Brady DJ, et al. Adaptive temporal compressive sensing for video. 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. 2013 Jan 1;14–8.
Zhan L, Mueller BA, Jahanshad N, Jin Y, Lenglet C, Yacoub E, et al. Magnetic resonance field strength effects on diffusion measures and brain connectivity networks. Brain connectivity. 2013 Jan;3(1):72–86.
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. 2013 Jan;7:41.
Llull P, Liao X, Yuan X, Yang J, Kittle D, Carin L, et al. Compressive sensing for video using a passive coding element. In: Optics InfoBase Conference Papers. 2013.
Yakar TB, Litman R, Sprechmann P, Bronstein A, Sapiro G. Bilevel sparse models for polyphonic music transcription. In: Proceedings of the 14th International Society for Music Information Retrieval Conference, ISMIR 2013. 2013. p. 65–70.
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 Jan 1;
Asiaee T. A, Tepper M, Banerjee A, Sapiro G. If you are happy and you know it... tweet. ACM International Conference Proceeding Series. 2012 Dec 19;1602–6.
Bartesaghi A, Lecumberry F, Sapiro G, Subramaniam S. Protein secondary structure determination by constrained single-particle cryo-electron tomography. Structure (London, England : 1993). 2012 Dec;20(12):2003–13.
Michaeli T, Eldar YC, Sapiro G. Semi-supervised single- And multi-domain regression with multi-domain training. Information and Inference. 2012 Dec 1;1(1):68–97.
Elhamifar E, Sapiro G, Vidal R. Finding exemplars from pairwise dissimilarities via simultaneous sparse recovery. Advances in Neural Information Processing Systems. 2012 Dec 1;1:19–27.
Fasching J, Walczak N, Sivalingam R, Cullen K, Murphy B, Sapiro G, et al. Detecting risk-markers in children in a preschool classroom. In: IEEE International Conference on Intelligent Robots and Systems. 2012. p. 1010–6.
Castrodad A, Khuon T, Rand R, Sapiro G. Sparse modeling for hyperspectral imagery with LiDAR data fusion for subpixel mapping. In: International Geoscience and Remote Sensing Symposium (IGARSS). 2012. p. 7275–8.
Tepper M, Sapiro G. Decoupled coarse-to-fine matching and nonlinear regularization for efficient motion estimation. Proceedings - International Conference on Image Processing, ICIP. 2012 Dec 1;1517–20.
Sprechmann P, Bronstein A, Sapiro G. Real-time online singing voice separation from monaural recordings using robust low-rank modeling. In: Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012. 2012. p. 67–72.
Fiori M, Musé P, Sapiro G. Topology constraints in graphical models. Advances in Neural Information Processing Systems. 2012 Dec 1;1:791–9.
Hashemi J, Spina TV, Tepper M, Esler A, Morellas V, Papanikolopoulos N, et al. A computer vision approach for the assessment of autism-related behavioral markers. In: 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL 2012. 2012.
Hashemi J, Spina TV, Tepper M, Esler A, Morellas V, Papanikolopoulos N, et al. Computer vision tools for the non-invasive assessment of autism-related behavioral markers. 2012 Oct 25;
Ramírez I, Sapiro G. LOw-rank data modeling via the minimum description length principle. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012 Oct 23;2165–8.
Michaeli T, Eldar YC, Sapiro G. Semi-supervised multi-domain regression with distinct training sets. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012 Oct 23;2145–8.
Duarte-Carvajalino JM, Yu G, Carin L, Sapiro G. Adapted statistical compressive sensing: Learning to sense gaussian mixture models. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012 Oct 23;3653–6.
Sprechmann P, Cancela P, Sapiro G. Gaussian mixture models for score-informed instrument separation. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012 Oct 23;49–52.
Sprechmann P, Bronstein A, Sapiro G. Learning efficient structured sparse models. Proceedings of the 29th International Conference on Machine Learning, ICML 2012. 2012 Oct 10;1:615–22.
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 Oct 1;1600–7.
Castrodad A, Sapiro G. Sparse modeling of human actions from motion imagery. International Journal of Computer Vision. 2012 Oct 1;100(1):1–15.
Sprechmann P, Bronstein AM, Sapiro G. Learning Robust Low-Rank Representations. 2012 Sep 27;
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. 2012 Sep;21(9):3850–64.
Tang Z, Castrodad A, Tepper M, Sapiro G. Are You Imitating Me? Unsupervised Sparse Modeling for Group Activity Analysis from a Single Video. 2012 Aug 27;
Tepper M, Sapiro G. L1 Splines for Robust, Simple, and Fast Smoothing of Grid Data. 2012 Aug 10;
Abosch A, Harel N, Sapiro G, Duchin Y, Yacoub E. 178 Utility of 7T Imaging for Deep Brain Stimulation Surgery. In: Neurosurgery. Ovid Technologies (Wolters Kluwer Health); 2012. p. E569–70.
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. 2012 Jul;16(4):770–81.
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. 2012 Jul;21(7):3239–52.
Ramirez I, Sapiro G. An MDL framework for sparse coding and dictionary learning. IEEE Transactions on Signal Processing. 2012 Jun 1;60(6):2913–27.
Walczak N, Fasching J, Toczyski W, Sivalingam R, Bird N, Cullen K, et al. A nonintrusive system for behavioral analysis of children using multiple RGB+depth sensors. Proceedings of IEEE Workshop on Applications of Computer Vision. 2012 May 11;217–22.
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. 2012 May;21(5):2481–99.
Mahmoudi M, Sapiro G. Sparse representations for range data restoration. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2012 May;21(5):2909–15.
Frank GA, Bartesaghi A, Kuybeda O, Borgnia MJ, White TA, Sapiro G, et al. Computational separation of conformational heterogeneity using cryo-electron tomography and 3D sub-volume averaging. J Struct Biol. 2012 May;178(2):165–76.
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. 2012 Apr;67(4):1167–72.
Sapiro G. Autonomy Revisited: The Question of Mediations and its Methodological Implications. Paragraph. 2012 Mar;35(1):30–48.
Xing Z, Zhou M, Castrodad A, Sapiro G, Carin L. Dictionary learning for noisy and incomplete hyperspectral images. SIAM Journal on Imaging Sciences. 2012 Feb 13;5(1):33–56.
Duarte-Carvajalino JM, Jahanshad N, Lenglet C, McMahon KL, de Zubicaray GI, Martin NG, et al. Hierarchical topological network analysis of anatomical human brain connectivity and differences related to sex and kinship. NeuroImage. 2012 Feb;59(4):3784–804.
Cetingul HE, Cetingül HE, Nadar M, Thompson P, Sapiro G, Lenglet C. Simultaneous ODF estimation and tractography in HARDI. Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2012 Jan;2012:86–9.
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. 2012 Jan;7(1):e29153.
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. 2012 Jan;7(5):e37328.
Tran EEH, Borgnia MJ, Kuybeda O, Schauder DM, Bartesaghi A, Frank GA, et al. Structural mechanism of trimeric HIV-1 envelope glycoprotein activation. PLoS Pathog. 2012;8(7):e1002797.
Ramírez I, Sapiro G. LOw-rank data modeling via the minimum description length principle. In: ICASSP. IEEE; 2012. p. 2165–8.
Bronstein AM, Sprechmann P, Sapiro G. Learning Efficient Structured Sparse Models. CoRR. 2012;abs/1206.4649.
Sapiro G. ON THE STATE Classes at College d eFrance, 1989-1992. QUINZAINE LITTERAIRE. 2012;(1061):4–4.
Zhou M, Chen H, Paisley J, Ren L, Li L, Xing Z, et al. Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2012 Jan;21(1):130–44.
Zhou T, Shan H, Banerjee A, Sapiro G. Kernelized probabilistic matrix factorization: Exploiting graphs and side information. In: Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. 2012. p. 403–14.
Tong M, Kim Y, Zhan L, Sapiro G, Lenglet C, Mueller BA, et al. A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING. Proceedings IEEE International Symposium on Biomedical Imaging. 2012 Jan;530–3.
Sivalingam R, Cherian A, Fasching J, Walczak N, Bird N, Morellas V, et al. A multi-sensor visual tracking system for behavior monitoring of at-risk children. Proceedings - IEEE International Conference on Robotics and Automation. 2012 Jan 1;1345–50.
Duarte-Carvajalino J, Sapiro G, Yu G, Carin L. Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models. 2011 Dec 26;
Bar L, Sapiro G. Hierarchical invariant sparse modeling for image analysis. Proceedings - International Conference on Image Processing, ICIP. 2011 Dec 1;2397–400.
Yu G, Sapiro G. Statistical compressed sensing of Gaussian mixture models. IEEE Transactions on Signal Processing. 2011 Dec 1;59(12):5842–58.
Zhou M, Carin L, Yang H, Dunson D, Sapiro G. Dependent hierarchical beta process for image interpolation and denoising. Journal of Machine Learning Research. 2011 Dec 1;15:883–91.
Jin Y, Shi Y, Jahanshad N, Aganj I, Sapiro G, Toga AW, et al. 3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering. Proceedings - International Symposium on Biomedical Imaging. 2011 Nov 2;822–6.
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. 2011 Nov 2;516–9.
Jahanshad N, Aganj I, Lenglet C, Joshi A, Jin Y, Barysheva M, et al. 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. 2011 Nov 2;939–43.
Zhan L, Leow AD, Aganj I, Lenglet C, Sapiro G, Yacoub E, et al. Differential information content in staggered multiple shell hardi measured by the tensor distribution function. Proceedings - International Symposium on Biomedical Imaging. 2011 Nov 2;305–9.
Sapiro G. Comparing shapes, understanding evolution. Proceedings of the National Academy of Sciences of the United States of America. 2011 Nov;108(45):18189–90.
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. 2011 Nov 1;49(11 PART 1):4263–81.
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 Oct 7;361–8.
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 Oct 7;625–32.
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. 2011 Sep;15(5):703–8.
Sprechmann P, Ramírez I, Sapiro G, Eldar YC. C-HiLasso: A collaborative hierarchical sparse modeling framework. IEEE Transactions on Signal Processing. 2011 Sep 1;59(9):4183–98.
Zhou M, Yang H, Sapiro G, Dunson D, Carin L. Covariate-dependent dictionary learning and sparse coding. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2011 Aug 18;5824–7.
Sprechmann P, Ramirez I, Cancela P, Sapiro G. Collaborative sources identification in mixed signals via hierarchical sparse modeling. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2011 Aug 18;5816–9.
Yu G, Sapiro G. Statistical compressive sensing of Gaussian mixture models. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2011 Aug 18;3728–31.
Léger F, Yu G, Sapiro G. Efficient matrix completion with Gaussian models. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2011 Aug 18;1113–6.
Ramírez I, Sapiro G. Sparse coding and dictionary learning based on the MDL principle. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2011 Aug 18;2160–3.
Aganj I, Lenglet C, Jahanshad N, Yacoub E, Harel N, Thompson PM, et al. A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography. Medical image analysis. 2011 Aug;15(4):414–25.
Wirth B, Bar L, Rumpf M, Sapiro G. A continuum mechanical approach to geodesics in shape space. International Journal of Computer Vision. 2011 Jul 1;93(3):293–318.
Arias P, Facciolo G, Caselles V, Sapiro G. A variational framework for exemplar-based image inpainting. International Journal of Computer Vision. 2011 Jul 1;93(3):319–47.
Sapiro G. Technical perspective: Images everywhere looking for models. Communications of the ACM. 2011 May 1;54(5):108.
Prasad G, Jahanshad N, Aganj I, Lenglet C, Sapiro G, Toga AW, et al. ATLAS-BASED FIBER CLUSTERING FOR MULTI-SUBJECT ANALYSIS OF HIGH ANGULAR RESOLUTION DIFFUSION IMAGING TRACTOGRAPHY. Proceedings IEEE International Symposium on Biomedical Imaging. 2011 Apr;2011:276–80.
Silva J, Chen M, Eldar YC, Sapiro G, Carin L. Blind Compressed Sensing Over a Structured Union of Subspaces. 2011 Mar 12;
Carin L, Baraniuk RG, Cevher V, Dunson D, Jordan MI, Sapiro G, et al. Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurements. IEEE signal processing magazine. 2011 Mar;28(2).
Yu G, Sapiro G. Statistical compressive sensing of Gaussian mixture models. In: ICASSP. IEEE; 2011. p. 3728–31.
Sprechmann P, Ramírez I, Cancela P, Sapiro G. Collaborative sources identification in mixed signals via hierarchical sparse modeling. In: ICASSP. IEEE; 2011. p. 5816–9.
Sapiro G. Merchants of Culture. The Publishing Business in the Twenty-First Century. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 2011;(186–87):132–5.
Sapiro G. WHAT IS A FRENCH PHILOSOPHER? The social life of concepts (1880-1980). QUINZAINE LITTERAIRE. 2011;(1034):21–21.
Yu G, Sapiro G. Statistical Compressed Sensing of Gaussian Mixture Models. IEEE Trans Signal Process. 2011;59:5842–58.
Léger F, Yu G, Sapiro G. Efficient matrix completion with Gaussian models. In: ICASSP. IEEE; 2011. p. 1113–6.
Sapiro G. Should we choose to explain and understand? The interpretation of human actions. QUINZAINE LITTERAIRE. 2011;(1043):28–28.
Ma Y, Niyogi P, Sapiro G, Vidal R. Dimensionality reduction via subspace and submanifold learning. IEEE Signal Processing Magazine. 2011 Jan 1;28(2).
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. 2010 Dec 1;1869–72.
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. 2010 Dec 1;1313–6.
Yu G, Sapiro G, Mallat S. Image modeling and enhancement via structured sparse model selection. Proceedings - International Conference on Image Processing, ICIP. 2010 Dec 1;1641–4.
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. 2010 Oct;19(10):2634–45.
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. 2010 Sep 1;89(2–3):266–86.
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 Aug 31;3501–8.
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 Aug 9;812–5.
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. 2010 Aug;64(2):554–66.
Sapiro G. Globalization and cultural diversity in the book market: The case of literary translations in the US and in France. Poetics. 2010 Aug;38(4):419–39.
Sprechmann P, Ramirez I, Sapiro G, Eldar Y. Collaborative hierarchical sparse modeling. 2010 44th Annual Conference on Information Sciences and Systems, CISS 2010. 2010 Jun 24;
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. 2010 Mar;19(3):625–35.
Mairal J, Bach F, Ponce J, Sapiro G. Online learning for matrix factorization and sparse coding. Journal of Machine Learning Research. 2010 Feb 22;11:19–60.
White T, Su S, Schmidt M, Kao C-Y, Sapiro G. The development of gyrification in childhood and adolescence. Brain and cognition. 2010 Feb;72(1):36–45.
Passalacqua P, Do Trung T, Foufoula-Georgiou E, Sapiro G, Dietrich WE. A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths. Journal of Geophysical Research: Earth Surface. 2010 Jan 1;115(1).
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. In: Free Radical Biology and Medicine. Elsevier BV; 2010. p. S198–S198.
Ramírez I, Sapiro G. Sparse coding and dictionary learning based on the MDL principle. CoRR. 2010;abs/1010.4751.
Sapiro G. Punish the violence of words: the French intellectual process at the end of World War II. ESPRIT CREATEUR. 2010;50(4):4–19.
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. 2010 Jan;13(Pt 2):84–91.
Sapiro G, Steinmetz G, Ducournau C. The production of colonial and post-colonial representations. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 2010;(185):4–11.
Mairal J, Bach FR, Ponce J, Sapiro G. Online Learning for Matrix Factorization and Sparse Coding. J Mach Learn Res. 2010;11:19–60.
Sapiro G. Special Section on Optimization in Imaging Sciences. SIAM Journal on Imaging Sciences. 2010 Jan;3(4):1047–1047.
Sapiro G, Kaniuk Y. THE LAST JEW. QUINZAINE LITTERAIRE. 2010;(1008):12–3.
Wright J, Ma Y, Mairal J, Sapiro G, Huang TS, Yan S. Sparse representation for computer vision and pattern recognition. Proceedings of the IEEE. 2010 Jan 1;98(6):1031–44.
Steinmetz G, Sapiro G, Balandier G. All scientific careers have autobiographical moments. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 2010;(185):44–61.
Sprechmann P, Ramírez I, Sapiro G, Eldar YC. Collaborative hierarchical sparse modeling. In: CISS. IEEE; 2010. p. 1–6.
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. 2010;115(1).
Sprechmann P, Sapiro G. Dictionary learning and sparse coding for unsupervised clustering. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2010 Jan 1;2042–5.
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). 2010 Jan 1;6315 LNCS(PART 5):617–30.
Fiori M, Musé P, Aguirre S, Sapiro G. Automatic colon polyp flagging via geometric and texture features. Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2010 Jan;2010:3170–3.
Bar L, Sapiro G. Hierarchical dictionary learning for invariant classification. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2010 Jan 1;3578–81.
Ramírez I, Sapiro G. Universal Sparse Modeling. CoRR. 2010;abs/1003.2941.
Szlam A, Sapiro G. Discriminative k-metrics. Proceedings of the 26th International Conference On Machine Learning, ICML 2009. 2009 Dec 9;1009–16.
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 Dec 1;2272–9.
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 Dec 1;197–200.
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. 2009 Nov 19;7446.
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). 2009 Nov 6;5681 LNCS:331–44.
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). 2009 Nov 6;5681 LNCS:345–58.
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). 2009 Nov 6;5681 LNCS:288–302.
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. 2009 Oct;30(10):3188–99.
Szlam A, Sapiro G. Discriminative k-metrics. ACM International Conference Proceeding Series. 2009 Sep 15;382.
Mairal J, Bach F, Ponce J, Sapiro G. Online dictionary learning for sparse coding. ACM International Conference Proceeding Series. 2009 Sep 15;382.
Sapiro G. Un héritage symbolique détourné ? La nouvelle revue française des années noires1. Études littéraires. 2009 Sep 1;40(1):97–117.
Sundaramoorthi G, Yezzi A, Mennucci AC, Sapiro G. New possibilities with Sobolev active contours. International Journal of Computer Vision. 2009 Aug 1;84(2):113–29.
Bai X, Wang J, Simons D, Sapiro G. Video SnapCut: Robust video object cutout using localized classifiers. ACM Transactions on Graphics. 2009 Jul 27;28(3).
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. 2009 Jul;18(7):1395–408.
Aganj I, Lenglet C, Sapiro G. ODF RECONSTRUCTION IN Q-BALL IMAGING WITH SOLID ANGLE CONSIDERATION. Proceedings IEEE International Symposium on Biomedical Imaging. 2009 Jun;2009:1398–401.
Jahanshad N, Lee AD, Lepore N, Chou Y-Y, Brun C, Barysheva M, et al. REDUCING STRUCTURAL VARIATION TO DETERMINE THE GENETICS OF WHITE MATTER INTEGRITY ACROSS HEMISPHERES - A DTI STUDY OF 100 TWINS. Proceedings IEEE International Symposium on Biomedical Imaging. 2009 Jun;2009:819–22.
Bai X, Sapiro G. Geodesic matting: A framework for fast interactive image and video segmentation and matting. International Journal of Computer Vision. 2009 Apr 1;82(2):113–32.
Lenglet C, Campbell JSW, Descoteaux M, Haro G, Savadjiev P, Wassermann D, et al. Mathematical methods for diffusion MRI processing. NeuroImage. 2009 Mar;45(1 Suppl):S111–22.
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. 2009 Mar;45(3):325–39.
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. 2009 Feb;4:4.
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 Jan 1;689–96.
Castrodad A, Ramirez I, Sapiro G, Sprechmann P, Yu G. Second-generation sparse modeling: Structured and collaborative signal analysis. 2009 Jan 1;65–87.
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 Jan 1;2295–303.
Rother D, Sapiro G. Seeing 3D Objects in a Single 2D Image. In: Proceedings of the IEEE International Conference on Computer Vision. 2009. p. 1819–26.
Bar L, Sapiro G. Generalized newton-type methods for energy formulations in image processing. SIAM Journal on Imaging Sciences. 2009 Jan 1;2(2):508–31.
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. 2009 Jan;12(Pt 2):423–31.
Matonti F, Sapiro G. The commitment of intellectuals: new viewpoints. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 2009;(176–77):4–7.
Mahmoudi M, Sapiro G. Three-dimensional point cloud recognition via distributions of geometric distances. Graphical Models. 2009 Jan 1;71(1):22–31.
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 Jan 1;1033–40.
Sapiro G. Intellectuals and politics: A Typology. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 2009;(176–77):8-+.
Lecumberry F, Pardo A, Sapiro G. Multiple shape models for simultaneous object classification and segmentation. Proceedings - International Conference on Image Processing, ICIP. 2009 Jan 1;3001–4.
Bar L, Sapiro G. Generalized newton methods for energy formulations in image processing. Proceedings - International Conference on Image Processing, ICIP. 2008 Dec 1;809–12.
Haro G, Randall G, Sapiro G. Translated poisson mixture model for stratification learning. International Journal of Computer Vision. 2008 Dec 1;80(3):358–74.
Narasimha R, Aganj I, Bennett AE, Borgnia MJ, Zabransky D, Sapiro G, et al. Evaluation of denoising algorithms for biological electron tomography. J Struct Biol. 2008 Oct;164(1):7–17.
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 Sep 23;
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 Sep 22;
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 Sep 22;
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 Sep 22;
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 Sep 10;1625–8.
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 Sep 10;1375–8.
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 Sep 10;887–90.
Liu J, Bartesaghi A, Borgnia MJ, Sapiro G, Subramaniam S. Molecular architecture of native HIV-1 gp120 trimers. Nature. 2008 Sep 4;455(7209):109–13.
Caselles V, Haro G, Sapiro G, Verdera J. On geometric variational models for inpainting surface holes. Computer Vision and Image Understanding. 2008 Sep 1;111(3):351–73.
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. 2008 Aug 1;46(8):2418–34.
Sapiro G. Translation and the field of publishing. Translation Studies. 2008 Jul;1(2):154–66.
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. 2008 Jun 17;6966.
Liu J, Bartesaghi A, Borgnia MJ, Sapiro G, Subramaniam S. Molecular Architecture of Native HIV-1 gp 120 Trimers. Chemtracts. 2008 Jun 1;21(6):227–8.
Singh G, Memoli F, Ishkhanov T, Sapiro G, Carlsson G, Ringach DL. Topological analysis of population activity in visual cortex. Journal of vision. 2008 Jun;8(8):11.1-1118.
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. 2008 Jun;162(3):436–50.
Patwardhan KA, Sapiro G, Morellas V. Robust foreground detection in video using pixel layers. IEEE transactions on pattern analysis and machine intelligence. 2008 Apr;30(4):746–51.
Mairal J, Sapiro G, Elad M. Learning multiscale sparse representations for image and video restoration. Multiscale Modeling and Simulation. 2008 Jan 1;7(1):214–41.
Bar L, Sapiro G, IEEE. GENERALIZED NEWTON METHODS FOR ENERGY FORMULATIONS IN IMAGE PROCESSING. In: 2008 IEEE International Conference on Image Processing, Proceedings. 2008. p. 813–6.
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. 2008 Jan;17(1):53–69.
Mairal J, Bach FR, Ponce J, Sapiro G, Zisserman A. Supervised Dictionary Learning. In: Koller D, Schuurmans D, Bengio Y, Bottou L, editors. NIPS. Curran Associates, Inc.; 2008. p. 1033–40.
Rother D, Sapiro G, Pande V. Statistical characterization of protein ensembles. IEEE/ACM transactions on computational biology and bioinformatics. 2008 Jan;5(1):42–55.
Rother D, Sapiro G, Pande V. Statistical Characterization of Protein Ensembles. IEEE ACM Trans Comput Biol Bioinform. 2008;5:42–55.
Sapiro G. Message from the Editor-in-Chief. SIAM Journal on Imaging Sciences. 2008 Jan;1(1):1–1.
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 Dec 1;553–60.
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 Dec 1;
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 Dec 1;
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 Dec 1;
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 Nov 27;217–20.
Narasimha R, Aganj I, Borgnia M, Sapiro G, McLaughlin S, Milne J, et al. 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 Nov 27;304–7.
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 Nov 27;244–7.
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. 2007 Nov 15;6565.
Sapiro G. Французское поле литературы; структура, динамика и формы политизации. 2007.
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 Oct 11;
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 Oct 11;
Moenning C, Mémoli F, Sapiro G, Dyn N, Dodgson NA. Meshless geometric subdivision. Graphical Models. 2007 May 1;69(3–4):160–79.
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. 2007 Apr;26(4):530–40.
Protiere A, Sapiro G. Interactive image segmentation via adaptive weighted distances. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2007 Apr;16(4):1046–57.
Mohan A, Sapiro G, Bosch E. Spatially coherent nonlinear dimensionality reduction and segmentation of hyperspectral images. IEEE Geoscience and Remote Sensing Letters. 2007 Apr 1;4(2):206–10.
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. 2007 Feb;16(2):545–53.
Rother D, Patwardhan KA, Sapiro G. What Can Casual Walkers Tell Us About A 3D Scene? In: 2007 IEEE 11th International Conference on Computer Vision. IEEE; 2007. p. 1–8.
Mairal J, Sapiro G, Elad M. Multiscale sparse image representation with learned dictionaries. In: 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7. 2007. p. 1233-+.
Bai X, Sapiro G. Distancecut: Interactive segmentation and matting of images and videos. In: 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7. 2007. p. 813–6.
Patwardhan KA, Sapiro G, Morellas V. A graph-based foreground representation and its application in example based people matching in video. In: 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7. 2007. p. 2289-+.
Bartesaghi A, Sprechmann P, Randall G, Sapiro G, Subramaniam S. A framework for classification and averaging of 3D tomographic volumes. In: BIOPHYSICAL JOURNAL. BIOPHYSICAL SOCIETY; 2007. p. 509A-509A.
Sapiro G. The ideology of the donation. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 2007;(168):31–3.
Sapiro G. The artistic vocation between donation and self-donation. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 2007;(168):4–11.
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. 2007 Jan 1;5.
Xue B, Guillermo S. Distancecut: Interactive segmentation and matting of images and videos. Proceedings - International Conference on Image Processing, ICIP. 2007 Jan 1;2:249–52.
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). 2007 Jan 1;4485 LNCS:153–64.
Sapiro G. I never learned to write - The paths of creation. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 2007;(168):12-+.
Hofer M, Sapiro G, Wallner J. Fair polyline networks for constrained smoothing of digital terrain elevation data. IEEE Transactions on Geoscience and Remote Sensing. 2006 Dec 1;44(10):2983–90.
Bertalmío M, Caselles V, Haro G, Sapiro G. PDE-based image and surface inpainting. 2006 Dec 1;33–61.
Mairal J, Sapiro G, Elad M. Multiscale sparse image representation with learned dictionaries. Proceedings - International Conference on Image Processing, ICIP. 2006 Dec 1;3.
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. 2006 Nov 17;2006:1168–71.
Yatziv L, Sapiro G. Image and video colorization. In: Color Image Processing: Methods and Applications. 2006. p. 467–81.
Sapiro G. JANE F. FULCHER. The Composer as Intellectual: Music and Ideology in France 1914-1940. New York: Oxford University Press. 2005. Pp. xiv, 473. $74.00. The American Historical Review. 2006 Oct 1;111(4):1261–2.
Greer JB, Bertozzi AL, Sapiro G. Fourth order partial differential equations on general geometries. Journal of Computational Physics. 2006 Jul 20;216(1):216–46.
Lee M, Lloyd P, Zhang X, Schallhorn JM, Sugimoto K, Leach AG, et al. Shapes of antibody binding sites: qualitative and quantitative analyses based on a geomorphic classification scheme. The Journal of organic chemistry. 2006 Jul;71(14):5082–92.
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. 2006 May;15(5):1120–9.
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. 2006 Apr 17;6064.
Yatziv L, Bartesaghi A, Sapiro G. O(N) implementation of the fast marching algorithm. Journal of Computational Physics. 2006 Mar 1;212(2):393–9.
Hershkovitz E, Sapiro G, Tannenbaum AR, Williams LD. Statistical Analysis of RNA Backbone. IEEE ACM Trans Comput Biol Bioinform. 2006;3:33–46.
Sapiro G, Gobille B. Proprietor or intellectual worker ? French writers in search for a status. MOUVEMENT SOCIAL. 2006;(214):113-+.
Sapiro G. Intellectuals. The genre in the history of intellectuals. MOUVEMENT SOCIAL. 2006;(214):168–70.
Sapiro G. The price of independence. QUINZAINE LITTERAIRE. 2006;(919):6–8.
Sapiro G. The composer as intellectual. Music and ideology in France (1914-1940). QUINZAINE LITTERAIRE. 2006;(926):26–26.
Mémoli F, Sapiro G. Computing with point cloud data. In: Modeling and Simulation in Science, Engineering and Technology. 2006. p. 201–29.
Sapiro G. Les professions intellectuelles entre l'État, l'entrepreneuriat et l'industrie. Le Mouvement Social. 2006 Jan 1;n o 214(1):3–18.
Haro G, Randall G, Sapiro G. Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds. In: NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems. 2006. p. 553–60.
Mohan A, Bartesaghi A, Sapiro G. Constrained regularization of digital terrain elevation data. IEEE Geoscience and Remote Sensing Letters. 2006 Jan 1;3(1):59–62.
Sapiro G. Emigrants in New York. The French intellectuals in Manhattan (1940-1944). MOUVEMENT SOCIAL. 2006;(214):174–5.
Hershkovitz E, Sapiro G, Tannenbaum A, Williams LD. Statistical analysis of RNA backbone. IEEE/ACM transactions on computational biology and bioinformatics. 2006 Jan;3(1):33–46.
Martín A, Sapiro G, Seroussi G. Is image steganography natural? IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2005 Dec;14(12):2040–50.
Breen D, Kirby M, Lefohn A, Museth K, Preusser T, Sapiro G, et al. Level set and PDE methods for visualization. Proceedings of the IEEE Visualization Conference. 2005 Dec 1;125.
Sapiro G. Inpainting the colors. Proceedings - International Conference on Image Processing, ICIP. 2005 Dec 1;2:698–701.
Bartesaghi A, Sapiro G. Tracking of moving objects under severe and total occlusions. Proceedings - International Conference on Image Processing, ICIP. 2005 Dec 1;1:301–4.
Patwardhan KA, Sapiro G, Benalmio M. Video inpainting of occluding and occluded objects. Proceedings - International Conference on Image Processing, ICIP. 2005 Dec 1;2:69–72.
Mahmoudi M, Sapiro G. Fast image and video denoising via nonlocal means of similar neighborhoods. IEEE Signal Processing Letters. 2005 Dec 1;12(12):839–42.
Mémoli F, Sapiro G. Distance functions and geodesics on submanifolds of ℝ ^d and point clouds. SIAM Journal on Applied Mathematics. 2005 Sep 30;65(4):1227–60.
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. 2005 Sep;14(9):1314–23.
Mémoli F, Sapiro G. A theoretical and computational framework for isometry invariant recognition of point cloud data. Foundations of Computational Mathematics. 2005 Jul 1;5(3):313–47.
Bartesaghi A, Sapiro G, Malzbender T, Gelb D. Three-dimensional shape rendering from multiple images. Graphical Models. 2005 Jul 1;67(4):332–46.
Bartesaghi A, Sapiro G. Tracking of moving objects under severe and total occlusions. In: 2005 International Conference on Image Processing (ICIP), Vols 1-5. IEEE; 2005. p. 249–52.
Sapiro G. Inpainting the colors. In: 2005 International Conference on Image Processing (ICIP), Vols 1-5. 2005. p. 1265–8.
Caselles V, Kimmel R, Sapiro G. Geometric Active Contours for Image Segmentation. 2005 Jan 1;613–27.
Patwardhan KA, Sapiro G, Bertalmio M. Video inpainting of occluding and occluded objects. In: 2005 International Conference on Image Processing (ICIP), Vols 1-5. 2005. p. 1593–6.
Niethammer M, Betelu S, Sapiro G, Tannenbaum A, Giblin PJ. Area-Based Medial Axis of Planar Curves. International journal of computer vision. 2004 Dec;60(3):203–24.
Bartesaghi A, Sapiro G, Lee S, Lefman J, Wahl S, Orenstein J, et al. 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. 2004 Dec 1;1:5–8.
Yatziv L, Sapiro G, Levoy M. Lightfield completion. Proceedings - International Conference on Image Processing, ICIP. 2004 Dec 1;3:1787–90.
Patwardhan KA, Sapiro G. Automatic image decomposition. Proceedings - International Conference on Image Processing, ICIP. 2004 Dec 1;1:645–8.
Mémoli F, Sapiro G. Comparing point clouds. ACM International Conference Proceeding Series. 2004 Dec 1;71:32–40.
Bartesaghi A, Sapiro G, Malzbender T, Gelb D. Non-photorealistic rendering from multiple images. Proceedings - International Conference on Image Processing, ICIP. 2004 Dec 1;4:2403–6.
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. 2004 Sep;13(9):1245–62.
Tsai YHR, Cheng LT, Osher S, Burchard P, Sapiro G. Visibility and its dynamics in a PDE based implicit framework. Journal of Computational Physics. 2004 Sep 1;199(1):260–90.
Breen D, Fedkiw R, Museth K, Osher S, Sapiro G, Whitaker R. Level set and PDE methods for computer graphics. In: ACM SIGGRAPH 2004 Course Notes, SIGGRAPH 2004. 2004.
Sapiro G. Das französische literarische Feld: Struktur, Dynamik und Formen der Politisierung. Berliner Journal für Soziologie. 2004 Jun;14(2):157–71.
Mémoli F, Sapiro G, Osher S. Solving variational problems and partial differential equations mapping into general target manifolds. Journal of Computational Physics. 2004 Mar 20;195(1):263–92.
Mémoli F, Sapiro G, Thompson P. Implicit brain imaging. NeuroImage. 2004 Jan;23 Suppl 1:S179–88.
Solé A, Caselles V, Sapiro G, Arándiga F. Morse description and geometric encoding of digital elevation maps. In: FREE BOUNDARY PROBLEMS: THEORY AND APPLICATIONS. 2004. p. 303–12.
Caselles V, Sapiro G, Solé A, Ballester C. Morse description and morphological encoding of continuous data. Multiscale Modeling and Simulation. 2004 Jan 1;2(2):179–209.
Pichon E, Niethammer M, Sapiro G. Color histogram equalization through mesh deformation. IEEE International Conference on Image Processing. 2003 Dec 17;2:117–20.
Verdera J, Caselles V, Bertalmio M, Sapiro G. Inpainting surface holes. IEEE International Conference on Image Processing. 2003 Dec 17;2:903–6.
Solé A, Caselles V, Sapiro G, Arándiga F. Morse description and geometric encoding of DEM data. IEEE International Conference on Image Processing. 2003 Dec 17;2:235–8.
Patwardhan KA, Sapiro G. Projection based image and video inpainting using wavelets. IEEE International Conference on Image Processing. 2003 Dec 16;1:857–60.
Bertalmio M, Vese L, Sapiro G, Osher S. Image filling-in in a decomposition space. IEEE International Conference on Image Processing. 2003 Dec 16;1:853–5.
Sapiro G. Introduction to Partial Differential Equations and Variational Formulations in Image Processing. Handbook of Numerical Analysis. 2003 Dec 1;11:383–461.
Sapiro G. Forms of politicization in the French literary field. Theory and Society. 2003 Dec;32(5/6):633–52.
Sapiro G. The literary field between the state and the market. Poetics. 2003 Oct;31(5–6):441–64.
Gorla G, Interrante V, Sapiro G. Texture Synthesis for 3D Shape Representation. IEEE Transactions on Visualization and Computer Graphics. 2003 Oct 1;9(4):512–24.
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. 2003 Sep 15;5032 II:1264–74.
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. 2003 Mar 1;185(2):309–41.
Pichon E, Sapiro G, Tannenbaum A. Segmentation of diffusion tensor imagery. DIRECTIONS IN MATHEMATICAL SYSTEMS THEORY AND OPTIMIZATION. 2003;286:239–47.
Sapiro GR. Guest editorial: Introduction to the special issue on imaging science. Journal of Mathematical Imaging and Vision. 2003 Jan 1;18(1):5.
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. 2003;2:II/707-II/712.
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. 2003 Jan 1;2879(PART 2):594–602.
Pardo A, Sapiro G. Visualization of high dynamic range images. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2003 Jan;12(6):639–47.
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. 2003 Jan;12(3):296–303.
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. 2003 Jan;12(8):882–9.
Interrante V, Gorla G, Kim S, Hagh-Shenas H, Sapiro G. Texture synthesis for 3D shape representation. Journal of Vision. 2002 Dec 1;2(7).
Sapiro G. The structure of the French literary field during the German Occupation (1940–1944). Poetics. 2002 Oct;30(5–6):387–402.
Sapiro G, Lebovics H. Mona Lisa's Escort. Andre Malraux and the Reinvention of French Culture. Le Mouvement social. 2002 Oct;(201):104–104.
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. 2002 Jan 1;13(1–2):1–2.
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. 2002 Jan 1;1.
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. 2002 Jan 1;1.
Pardo A, Sapiro G. Visualization of high dynamic range images. IEEE International Conference on Image Processing. 2002 Jan 1;1.
Bertalmío M, Cheng LT, Osher S, Sapiro G. Variational problems and partial differential equations on implicit surfaces. Journal of Computational Physics. 2001 Dec 10;174(2):759–80.
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. 2001 Dec 1;1.
Mémoli F, Sapiro G. Fast computation of weighted distance functions and geodesics on implicit hyper-surfaces. Journal of Computational Physics. 2001 Nov 1;173(2):730–64.
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. 2001 Oct 1;39(10):2298–306.
Bartesaghi A, Sapiro G. A system for the generation of curves on 3D brain images. Human brain mapping. 2001 Sep;14(1):1–15.
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. 2001 May 1;34(5):943–52.
Pardo A, Sapiro G. Vector probability diffusion. IEEE Signal Processing Letters. 2001 Apr 1;8(4):106–9.
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. 2001 Feb;20(2):86–93.
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. 2001 Jan;10(5):701–7.
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. 2001 Jan;10(8):1200–11.
Solé AF, López A, Sapiro G. Crease enhancement diffusion. Computer Vision and Image Understanding. 2001 Jan 1;84(2):241–8.
Betelu S, Sapiro G, Tannenbaum A. Affine invariant erosion of 3D shapes. Proceedings of the IEEE International Conference on Computer Vision. 2001 Jan 1;2:174–80.
Sapiro G. Harmonic map flows and image processing. In: FOUNDATIONS OF COMPUTATIONAL MATHEMATICS. 2001. p. 299–322.
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. 2001 Jan 1;1:10–6.
Haker S, Sapiro G, Tannenbaum A, Washburn D. Missile tracking using knowledge-based adaptive thresholding. IEEE International Conference on Image Processing. 2001 Jan 1;1:786–9.
Bertalmió M, Sapiro G, Cheng LT, Osher S. Variational problems and PDEs on implicit surfaces. In: Proceedings - IEEE Workshop on Variational and Level Set Methods in Computer Vision, VLSM 2001. 2001. p. 186–93.
Neoh HS, Sapiro G. Using anisotropic diffusion of probability maps for activity detection in block-design functional MRI. IEEE International Conference on Image Processing. 2000 Dec 1;1:621–4.
Chung DH, Sapiro G. Segmenting skin lesions with partial differential equations based image processing algorithms. IEEE International Conference on Image Processing. 2000 Dec 1;3.
Chung DH, Sapiro G. On the level lines and geometry of vector-valued images. IEEE Signal Processing Letters. 2000 Sep 1;7(9):241–3.
Chung DH, Sapiro G. Segmenting skin lesions with partial-differential-equations-based image processing algorithms. IEEE transactions on medical imaging. 2000 Jul;19(7):763–7.
Bertalmio M, Sapiro G, Caselles V, Ballester C. Image Inpainting. SIGGRAPH 2000 - Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques. 2000 Jul 1;417–24.
Bertalmio M, Sapiro G, Randall G. Morphing active contours. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2000 Jul 1;22(7):733–7.
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. 2000 Jun;11(2):95–95.
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. 2000 Apr 1;6(2):181–9.
Betelu S, Sapiro G, Tannenbaum A, Giblin PJ. Noise-resistant affine skeletons of planar curves. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2000. p. 742–54.
Giblin PJ, Sapiro G. Affine versions of the symmetry set. In: REAL AND COMPLEX SINGULARITIES. 2000. p. 173–87.
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. 2000 Jan;9(8):1309–24.
Tang B, Sapiro G, Caselles V. Chromaticity diffusion. IEEE International Conference on Image Processing. 2000 Jan 1;2:784–7.
Pardo A, Sapiro G. Vector probability diffusion. IEEE International Conference on Image Processing. 2000;1:884–7.
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. 2000 Jan;9(2):299–301.
Caselles V, Sapiro G, Chung DH. Vector median filters, inf-sup operations, and coupled PDE's: Theoretical connections. Journal of Mathematical Imaging and Vision. 2000 Jan 1;12(2):109–19.
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. 2000 Jan 1;36(2):149–61.
Chung DH, Sapiro G. Segmentation-free skeletonization of gray-scale images via PDE's. IEEE International Conference on Image Processing. 2000 Jan 1;2:927–30.
Weinberger MJ, Seroussi G, Sapiro G. From LOCO-I to the JPEG-LS standard. IEEE International Conference on Image Processing. 1999 Dec 1;4:68–72.
Caselles V, Sapiro G, Chung DH. Vector median filters, morphology, and PDE's: Theoretical connections. IEEE International Conference on Image Processing. 1999 Dec 1;4:177–81.
Sapiro G. Color and illuminant voting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1999 Dec 1;21(11):1210–5.
Bertalmio M, Sapiro G, Randall G. Region tracking on level-sets methods. IEEE transactions on medical imaging. 1999 May;18(5):448–51.
Bertalmio M, Sapiro G, Randall G. Region tracking on surfaces deforming via level-sets methods. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1999. p. 330–8.
Olver PJ, Sapiro G, Tannenbaum A. Affine invariant detection: Edge maps, anisotropic diffusion, and active contours. Acta Applicandae Mathematicae. 1999 Jan 1;59(1):45–77.
Bertalmio M, Sapiro G, Randall G. Morphing active contours. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1999. p. 46–53.
Chung DH, Sapiro G. A windows-based user friendly system for image analysis with partial differential equations. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1999. p. 453–8.
Teo PC, Sapiro G, Wandell BA. Anisotropic smoothing of posterior probabilities. In: DYNAMICAL SYSTEMS, CONTROL, CODING, COMPUTER VISION. 1999. p. 419–32.
Black MJ, Sapiro G. Edges as outliers: Anisotropic smoothing using local image statistics. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1999. p. 259–70.
Tang B, Sapiro G, Caselles V. Direction diffusion. Proceedings of the IEEE International Conference on Computer Vision. 1999 Jan 1;2:1245–52.
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. 1999 Jan;8(2):220–30.
Vazquez L, Sapiro G, Randall G. Segmenting neurons in electronic microscopy via geometric tracing. IEEE International Conference on Image Processing. 1998 Dec 1;3:814–8.
Haker S, Sapiro G, Tannenbaum A. Knowledge-based segmentation of SAR images. IEEE International Conference on Image Processing. 1998 Dec 1;1:597–601.
Teo PC, Sapiro G, Wandell B. Segmenting cortical gray matter for functional MRI visualization. Proceedings of the IEEE International Conference on Computer Vision. 1998 Dec 1;292–7.
Sapiro G. Bilinear voting. Proceedings of the IEEE International Conference on Computer Vision. 1998 Dec 1;178–83.
Giblin PJ, Sapiro G. Affine invariant medial axis and skew symmetry. Proceedings of the IEEE International Conference on Computer Vision. 1998 Dec 1;833–8.
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. 1998 Dec 1;3:318–22.
Weinberger M, Seroussi G, Sapiro G. LOCO-I lossless image compression algorithm: Principles and standardization into JPEG-LS. 1998 Nov 1;(HPL-98-193):1–31.
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. 1998 Jan;7(3):269–73.
Giblin PJ, Sapiro G. Affine-Invariant Distances, Envelopes and Symmetry Sets. Geometriae Dedicata. 1998 Jan 1;71(3):237–61.
Black MJ, Sapiro G, Marimont DH, Heeger D. Robust anisotropic diffusion. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 1998 Jan;7(3):421–32.
Angenent S, Sapiro G, Tannenbaum A. On the affine heat equation for non-convex curves. Journal of the American Mathematical Society. 1998 Jan 1;11(3):601–34.
Caselles V, Kimmel R, Sapiro G, Sbert C. Minimal surfaces based object segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1997 Dec 1;19(4):394–8.
Teo PC, Sapiro G, Wandell BA. Creating connected representations of cortical gray matter for functional MRI visualization. IEEE transactions on medical imaging. 1997 Dec;16(6):852–63.
Black M, Sapiro G, Marimont D, Heeger D. Robust anisotropic diffusion and sharpening of scalar and vector images. IEEE International Conference on Image Processing. 1997 Dec 1;1:263–6.
Caselles V, Lisani JL, Morel JM, Sapiro G. Shape preserving local contrast enhancement. IEEE International Conference on Image Processing. 1997 Dec 1;1:314–7.
Teo PC, Sapiro G, Wandell BA. Anisotropic smoothing of posterior probabilities. IEEE International Conference on Image Processing. 1997 Dec 1;1:675–8.
Ringach DL, Sapiro G, Shapley R. A subspace reverse-correlation technique for the study of visual neurons. Vision research. 1997 Sep;37(17):2455–64.
Sapiro G. Les conditions professionnelles d'une mobilisation reussie: le Comite national des ecrivains. Le Mouvement social. 1997 Jul;(180):179–179.
Sapiro G, Simonin A. Les Editions de Minuit 1942-1955. Le devoir d'insoumission. Le Mouvement social. 1997 Jul;(180):244–244.
Sapiro G, Caselles V. Histogram Modification via Differential Equations. Journal of Differential Equations. 1997 Apr 10;135(2):238–68.
Caselles V, Lisani JL, Morel JM, Sapiro G. Shape preserving local histogram modification. 1997 Apr 1;(97–58):1–20.
Pollick FE, Sapiro G. Constant affine velocity predicts the 1/3 power law of planar motion perception and generation. Vision research. 1997 Feb;37(3):347–53.
Sapiro G. 'Alea' - French - Kjaerstad,J. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 1997;(118):5–5.
Sapiro G. The Vichy government - French - Baruch,MO. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 1997;(119):71–71.
Black MJ, Sapiro G, Marimont D, Heeger D. Robust anisotropic diffusion: Connections between robust statistics, line processing, and anisotropic diffusion. In: SCALE-SPACE THEORY IN COMPUTER VISION. 1997. p. 323–6.
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. 1997 Jan 1;7(1):23–40.
Teo PC, Sapiro G, Wandell BA. Anatomically consistent segmentation of the human cortex for functional MRI visualization. HP Laboratories Technical Report. 1997 Jan 1;(97–3):1–21.
Sapiro G, Caselles V. Contrast Enhancement via Image Evolution Flows. Graphical Models and Image Processing. 1997 Jan 1;59(6):407–16.
Caselles V, Kimmel R, Sapiro G, Sbert C. Minimal surfaces: A geometric three dimensional segmentation approach. Numerische Mathematik. 1997 Jan 1;77(4):423–51.
Sapiro G. Color Snakes. Computer Vision and Image Understanding. 1997 Jan 1;68(2):247–53.
Black MJ, Sapiro G, Marimont D, Heeger D. Robust anisotropic diffusion: Connections between robust statistics, line processing, and anisotropic diffusion. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1997. p. 323–6.
Olver PJ, Sapiro G, Tannenbaum A. Invariant geometric evolutions of surfaces and volumetric smoothing. SIAM Journal on Applied Mathematics. 1997 Jan 1;57(1):176–94.
Caselles V, Kimmel R, Sapiro G. Geodesic Active Contours. International Journal of Computer Vision. 1997 Jan 1;22(1):61–79.
Sapiro G. Vector (self) snakes: A geometric framework for color, texture, and multiscale image segmentation. IEEE International Conference on Image Processing. 1996 Dec 1;1:817–20.
Sapiro G. From active contours to anisotropic diffusion: Connections between basic PDE's in image processing. IEEE International Conference on Image Processing. 1996 Dec 1;1:477–80.
Giblin PJ, Sapiro G. Affine invariant distances, envelopes and symmetry sets. HP Laboratories Technical Report. 1996 Jun 1;(96–93):2–30.
Ringach DL, Sapiro G, Shapley R. A simple reverse correlation scheme for the identification of visual neurons. Investigative Ophthalmology and Visual Science. 1996 Feb 15;37(3).
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. 1996;(115):105–6.
Sapiro G. Boarded-up windows - French - Vona,A. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 1996;(114):3–3.
Sapiro G. Dans les soulevements - French - Vargaftig,B. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 1996;(114):13–13.
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. 1996;(111–12):36.
Ringach DL, Sapiro G, Shapley R. A simple reverse correlation scheme for the identification of visual neurons. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 1996;37(3):4178–4178.
Weinberger MJ, Seroussi G, Sapiro G. LOCO-I: a low complexity, context-based, lossless image compression algorithm. Data Compression Conference Proceedings. 1996 Jan 1;140–9.
Sapiro G. Vector-valued active contours. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1996 Jan 1;680–5.
Sapiro G, Ringach DL. Anisotropic diffusion of color images. Proceedings of SPIE - The International Society for Optical Engineering. 1996 Jan 1;2657:471–82.
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 Jan 1;520–5.
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 Jan 1;244–52.
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. 1996 Jan;5(11):1582–6.
Caselles V, Kimmel R, Sapiro G, Sbert C. Three dimensional object modeling via minimal surfaces. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1996. p. 97–106.
Ringach DL, Carandini M, Sapiro G, Shapley R. Cortical circuitry revealed by reverse correlation in the orientation domain. PERCEPTION. 1996;25:31–31.
Sapiro G. For reasons of literature - French literature during the occupation 1940-1944. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 1996;(111–12):3.
Sapiro G. Vichy and femininity - Political sociology of the order of bodies - French - MuelDreyfus,F. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 1996;(113):103–4.
Sapiro G. Mircea Eliade and the amnesia of history. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 1996;(114):5–5.
Sapiro G. Intellectuals in 19th-century Europe - Comparative history - French - Charle,C. ACTES DE LA RECHERCHE EN SCIENCES SOCIALES. 1996;(115):107–107.
Sapiro G, Caselles V. Histogram modification via partial differential equations. IEEE International Conference on Image Processing. 1995 Dec 1;3:632–5.
Sapiro G. Geometric partial differential equations in image analysis: past, present, and future. IEEE International Conference on Image Processing. 1995 Dec 1;3:1–4.
Sapiro G, Caselles V. An image evolution approach for contrast enhancement. In: Proceedings of SPIE - The International Society for Optical Engineering. 1995. p. 19–30.
Sapiro G, Kimmel R, Caselles V. Object detection and measurements in medical images via geodesic deformable contours. In: Proceedings of SPIE - The International Society for Optical Engineering. 1995. p. 366–78.
Sapiro G, Caselles V. Simultaneous contrast improvement and denoising via diffusion related equations. In: Proceedings of SPIE - The International Society for Optical Engineering. 1995. p. 342–53.
Sapiro G, Steel J. Litteratures de l'ombre. Le Mouvement social. 1995 Apr;(171):109–109.
Sapiro G, Bruckstein AM. The ubiquitous ellipse. Acta Applicandae Mathematicae. 1995 Feb 1;38(2):149–61.
Bruckstein AM, Sapiro G, Shaked D. Evolutions of planar polygons. International Journal of Pattern Recognition and Artificial Intelligence. 1995 Jan 1;9(6):991–1014.
Caselles V, Kimmel R, Sapiro G. Geodesic active contours. IEEE International Conference on Computer Vision. 1995 Jan 1;694–9.
Bruckstein AM, Sapiro G, Shaked D. Evolutions of planar polygons. International Journal of Pattern Recognition and Artificial Intelligence. 1995;9(6):991–1014.
Kimmel R, Sapiro G. Shortening three-dimensional curves via two-dimensional flows. Computers and Mathematics with Applications. 1995 Jan 1;29(3):49–62.
Tannenbaum A, Sapiro G. Area and Length Preserving Geometric Invariant Scale-Spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1995 Jan 1;17(1):67–72.
POLLICK FE, SAPIRO G. CONSTANT AFFINE VELOCITY AND THE GENERATION AND PERCEPTION OF UNIFORM PLANAR MOTION. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 1995;36(4):S360–S360.
Sapiro G. Geometric invariant signatures and flows: Classification and applications in image analysis. In: Proceedings of SPIE - The International Society for Optical Engineering. 1994. p. 275–87.
Sapiro G, Tannenbaum A, You YL, Kaveh M. Experiments on geometric image enhancement. In: Proceedings - International Conference on Image Processing, ICIP. 1994. p. 472–6.
Sapiro G, Tannenbaum A. On affine plane curve evolution. Journal of Functional Analysis. 1994 Jan 1;119(1):79–120.
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. 1994 Jan 1;5(1):29–40.
SAPIRO G, BRUCKSTEIN AM. The ubiquitous ellipse. In: CURVES AND SURFACES IN GEOMETRIC DESIGN. 1994. p. 409–18.
Sapiro G, Tannenbaum A. Area and length preserving geometric invariant scale-spaces. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1994. p. 449–58.
OLVER PJ, SAPIRO G, TANNENBAUM A. CLASSIFICATION AND UNIQUENESS OF INVARIANT GEOMETRIC FLOWS. COMPTES RENDUS DE L ACADEMIE DES SCIENCES SERIE I-MATHEMATIQUE. 1994;319(4):339–44.
Sapiro G, Tannenbaum A. Affine invariant scale-space. International Journal of Computer Vision. 1993 Aug 1;11(1):25–44.
Sapiro G, Tannenbaum AR. Formulating invariant heat-type curve flows. Proceedings of SPIE - The International Society for Optical Engineering. 1993 Jan 1;2031:234–45.
Sapiro G, Kimmel R, Shaked D, Kimia BB, Bruckstein AM. Implementing continuous-scale morphology via curve evolution. Pattern Recognition. 1993 Jan 1;26(9):1363–72.
SAPIRO G, TANNENBAUM A. IMAGE SMOOTHING BASED ON AN AFFINE INVARIANT CURVE FLOW. In: PROCEEDINGS OF THE TWENTY-SEVENTH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS. 1993. p. 196–201.
SAPIRO G, TANNENBAUM A. On Invariant Curve Evolution and Image Analysis. INDIANA UNIVERSITY MATHEMATICS JOURNAL. 1993;42(3):985–1009.
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. 1992;(12):151–96.
Sapiro G, Malah D. Morphological image coding via bit-plane decomposition and a new skeleton representation. In: Proceedings - 17th Convention of Electrical and Electronics Engineers in Israel, EEIS 1991. 1991. p. 174–7.
SAPIRO G, MALAH D. A GEOMETRIC SAMPLING THEOREM AND ITS APPLICATION IN MORPHOLOGICAL IMAGE-CODING. In: DIGITAL SIGNAL PROCESSING - 91. 1991. p. 410–5.
Whitsel BL, Petrucelli LM, Sapiro G, Ha H. Fiber sorting in the fasciculus gracilis of squirrel monkeys. Experimental neurology. 1970 Nov;29(2):227–42.
Whitsel BL, Petrucelli LM, Sapiro G. Modality representation in the lumbar and cervical fasciculus gracilis of squirrel monkeys. Brain research. 1969 Sep;15(1):67–78.

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