Research Interests for Guillermo Sapiro
Research Interests:
Image and video processing, computer vision, computer graphics,
computational vision, biomedical imaging, brain imaging,
cryotomography of viruses, computational tools in cryotomography,
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.  Recent Publications
 Vu, MAT; Adalı, T; Ba, D; Buzsáki, G; Carlson, D; Heller, K; Liston, C; Rudin, C; Sohal, VS; Widge, AS; Mayberg, HS; Sapiro, G; Dzirasa, K, A Shared Vision for Machine Learning in Neuroscience.,
The Journal of neuroscience : the official journal of the Society for Neuroscience, vol. 38 no. 7
(February, 2018),
pp. 16011607 [doi] [abs]
 Giryes, R; Eldar, YC; Bronstein, A; Sapiro, G, Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems,
IEEE Transactions on Signal Processing
(January, 2018) [doi] [abs]
 Pisharady, PK; Sotiropoulos, SN; Sapiro, G; Lenglet, C, A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multishell Diffusion MRI.,
Medical image computing and computerassisted intervention : MICCAI ... International Conference on Medical Image Computing and ComputerAssisted Intervention, vol. 10433
(September, 2017),
pp. 602610, ISBN 9783319661810 [doi] [abs]
 Sokolić, J; Giryes, R; Sapiro, G; Rodrigues, MRD, Generalization error of deep neural networks: Role of classification margin and data structure,
2017 12th International Conference on Sampling Theory and Applications, SampTA 2017
(September, 2017),
pp. 147151, ISBN 9781538615652 [doi] [abs]
 Sokolic, J; Giryes, R; Sapiro, G; Rodrigues, MRD, Robust Large Margin Deep Neural Networks,
IEEE Transactions on Signal Processing, vol. 65 no. 16
(August, 2017),
pp. 42654280 [doi]
