Artiklar med krav på offentlig åtkomst - Guillermo SapiroLäs mer
Inte tillgängliga någonstans: 4
Toward multiple catheters detection in fluoroscopic image guided interventions
L Yatziv, M Chartouni, S Datta, G Sapiro
IEEE Transactions on Information Technology in Biomedicine 16 (4), 770-781, 2012
Krav: US National Institutes of Health
Gaussian mixture models for score-informed instrument separation
P Sprechmann, P Cancela, G Sapiro
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
Krav: Government of Spain
Sparse models for intrinsic shape correspondence
J Pokrass, AM Bronstein, MM Bronstein, P Sprechmann, G Sapiro
Perspectives in Shape Analysis, 211-230, 2016
Krav: European Commission
Importance Sampling Spherical Harmonics to Improve Probabilistic Tractography
HE Çetingül, L Dumont, MS Nadar, PM Thompson, G Sapiro, C Lenglet
2013 International Workshop on Pattern Recognition in Neuroimaging, 46-49, 2013
Krav: US National Institutes of Health
Tillgängliga någonstans: 167
Molecular architecture of native HIV-1 gp120 trimers
J Liu, A Bartesaghi, MJ Borgnia, G Sapiro, S Subramaniam
Nature 455 (7209), 109-113, 2008
Krav: US National Institutes of Health
Advances in diffusion MRI acquisition and processing in the Human Connectome Project
SN Sotiropoulos, S Jbabdi, J Xu, JL Andersson, S Moeller, EJ Auerbach, ...
Neuroimage 80, 125-143, 2013
Krav: US National Institutes of Health, UK Medical Research Council, Wellcome Trust
Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project
K Uğurbil, J Xu, EJ Auerbach, S Moeller, AT Vu, JM Duarte-Carvajalino, ...
Neuroimage 80, 80-104, 2013
Krav: US National Institutes of Health, UK Medical Research Council, Wellcome Trust
Learning to sense sparse signals: Simultaneous sensing matrix and sparsifying dictionary optimization
JM Duarte-Carvajalino, G Sapiro
IEEE Transactions on Image Processing 18 (7), 1395-1408, 2009
Krav: US National Institutes of Health
Reconstruction of the orientation distribution function in single‐and multiple‐shell q‐ball imaging within constant solid angle
I Aganj, C Lenglet, G Sapiro, E Yacoub, K Ugurbil, N Harel
Magnetic resonance in medicine 64 (2), 554-566, 2010
Krav: US National Institutes of Health
Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images
M Zhou, H Chen, J Paisley, L Ren, L Li, Z Xing, D Dunson, G Sapiro, ...
IEEE Transactions on Image Processing 21 (1), 130-144, 2011
Krav: US National Institutes of Health
The development of gyrification in childhood and adolescence
T White, S Su, M Schmidt, CY Kao, G Sapiro
Brain and cognition 72 (1), 36-45, 2010
Krav: US National Institutes of Health
A Gromov-Hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching
AM Bronstein, MM Bronstein, R Kimmel, M Mahmoudi, G Sapiro
International Journal of Computer Vision 89 (2), 266-286, 2010
Krav: US National Institutes of Health
Design of multishell sampling schemes with uniform coverage in diffusion MRI
E Caruyer, C Lenglet, G Sapiro, R Deriche
Magnetic resonance in medicine 69 (6), 1534-1540, 2013
Krav: US National Institutes of Health
Robust large margin deep neural networks
J Sokolić, R Giryes, G Sapiro, MRD Rodrigues
IEEE Transactions on Signal Processing 65 (16), 4265-4280, 2017
Krav: US National Science Foundation, US Department of Defense, UK Engineering and …
A variational framework for exemplar-based image inpainting
P Arias, G Facciolo, V Caselles, G Sapiro
International journal of computer vision 93, 319-347, 2011
Krav: Government of Spain
Topological analysis of population activity in visual cortex
G Singh, F Memoli, T Ishkhanov, G Sapiro, G Carlsson, DL Ringach
Journal of vision 8 (8), 11-11, 2008
Krav: US National Institutes of Health
Minimax pareto fairness: A multi objective perspective
N Martinez, M Bertran, G Sapiro
International conference on machine learning, 6755-6764, 2020
Krav: US Department of Defense, US National Institutes of Health
Deep neural networks with random gaussian weights: A universal classification strategy?
R Giryes, G Sapiro, AM Bronstein
IEEE Transactions on Signal Processing 64 (13), 3444-3457, 2016
Krav: US National Science Foundation, European Commission
Learning efficient sparse and low rank models
P Sprechmann, AM Bronstein, G Sapiro
IEEE transactions on pattern analysis and machine intelligence 37 (9), 1821-1833, 2015
Krav: European Commission
Compressive sensing by learning a Gaussian mixture model from measurements
J Yang, X Liao, X Yuan, P Llull, DJ Brady, G Sapiro, L Carin
IEEE Transactions on Image Processing 24 (1), 106-119, 2014
Krav: US Department of Energy
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