Guillermo Sapiro
Affiliations: | University of Minnesota, Twin Cities, Minneapolis, MN |
Area:
Electronics and Electrical Engineering, Computer ScienceGoogle:
"Guillermo Sapiro"Children
Sign in to add traineeDo-Hyun Chung | grad student | 2000 | UMN |
Marcelo Bertalmio | grad student | 2001 | UMN |
Alberto Bartesaghi | grad student | 2005 | UMN |
Roberto F. Memoli Techera | grad student | 2005 | UMN |
Kedar A. Patwardhan | grad student | 2007 | UMN |
Diego D. Rother | grad student | 2008 | UMN |
Iman Aganj | grad student | 2010 | UMN |
Mona Mahmoudi | grad student | 2010 | UMN |
Ignacio Ramirez | grad student | 2011 | UMN |
Alexey Castrodad | grad student | 2012 | UMN |
Liron Yatziv | grad student | 2012 | UMN |
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Publications
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Di Martino M, Suzacq F, Delbracio M, et al. (2020) Differential 3D Facial Recognition: Adding 3D to your State-of-the-Art 2D Method. Ieee Transactions On Pattern Analysis and Machine Intelligence |
Fellous JM, Sapiro G, Rossi A, et al. (2019) Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation. Frontiers in Neuroscience. 13: 1346 |
Kim J, Duchin Y, Shamir RR, et al. (2018) 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 |
Duchin Y, Shamir RR, Patriat R, et al. (2018) Patient-specific anatomical model for deep brain stimulation based on 7 Tesla MRI. Plos One. 13: e0201469 |
Bartesaghi A, Aguerrebere C, Falconieri V, et al. (2018) Atomic Resolution Cryo-EM Structure of β-Galactosidase. Structure (London, England : 1993) |
Giryes R, Eldar YC, Bronstein AM, et al. (2018) Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems Ieee Transactions On Signal Processing. 66: 1676-1690 |
Pisharady PK, Sotiropoulos SN, Duarte-Carvajalino JM, et al. (2017) Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning. Neuroimage |
Simhal AK, Aguerrebere C, Collman F, et al. (2017) Probabilistic fluorescence-based synapse detection. Plos Computational Biology. 13: e1005493 |
Lezama J, Mukherjee D, McNabb RP, et al. (2016) Segmentation guided registration of wide field-of-view retinal optical coherence tomography volumes. Biomedical Optics Express. 7: 4827-4846 |
Lyzinski V, Fishkind DE, Fiori M, et al. (2016) Graph Matching: Relax at Your Own Risk. Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 60-73 |