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Nicolas Honnorat

Showing results (1-10 of 29) with videos related to

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Information Processing in Medical Imaging : Proceedings of the ... Conference|March 6, 2018
Riccati-Regularized Precision Matrices for NeuroimagingNicolas Honnorat, Christos Davatzikos
Neuroimage|April 23, 2022
Covariance shrinkage can assess and improve functional connectomesNicolas Honnorat, Mohamad Habes
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Guide-wire extraction through perceptual organization of local segments in fluoroscopic imagesNicolas Honnorat, Régis Vaillant, Nikos Paragios
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Graph-based geometric-iconic guide-wire trackingNicolas Honnorat, Régis Vaillant, Nikos Paragios
IEEE Transactions on Medical Imaging|October 10, 2015
CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging PatternsAoyan Dong, Nicolas Honnorat, Bilwaj Gaonkar, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 24, 2020
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity AnalysisQingyu Zhao, Nicolas Honnorat, Ehsan Adeli, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 28, 2017
Subject-Specific Structural Parcellations Based on Randomized AB-divergencesNicolas Honnorat, Drew Parker, Birkan Tunç, et al.
Predictive Intelligence in Medicine. PRIME (Workshop)|November 9, 2020
Deep Parametric Mixtures for Modeling the Functional ConnectomeNicolas Honnorat, Adolf Pfefferbaum, Edith V Sullivan, et al.
Schizophrenia Research|December 25, 2017
Neuroanatomical heterogeneity of schizophrenia revealed by semi-supervised machine learning methodsNicolas Honnorat, Aoyan Dong, Eva Meisenzahl-Lechner, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|July 25, 2020
Variational AutoEncoder For Regression: Application to Brain Aging AnalysisQingyu Zhao, Ehsan Adeli, Nicolas Honnorat, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Information Processing in Medical Imaging : Proceedings of the ... Conference|March 6, 2018
Riccati-Regularized Precision Matrices for NeuroimagingNicolas Honnorat, Christos Davatzikos
Neuroimage|April 23, 2022
Covariance shrinkage can assess and improve functional connectomesNicolas Honnorat, Mohamad Habes
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Guide-wire extraction through perceptual organization of local segments in fluoroscopic imagesNicolas Honnorat, Régis Vaillant, Nikos Paragios
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Graph-based geometric-iconic guide-wire trackingNicolas Honnorat, Régis Vaillant, Nikos Paragios
IEEE Transactions on Medical Imaging|October 10, 2015
CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging PatternsAoyan Dong, Nicolas Honnorat, Bilwaj Gaonkar, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 24, 2020
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity AnalysisQingyu Zhao, Nicolas Honnorat, Ehsan Adeli, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 28, 2017
Subject-Specific Structural Parcellations Based on Randomized AB-divergencesNicolas Honnorat, Drew Parker, Birkan Tunç, et al.
Predictive Intelligence in Medicine. PRIME (Workshop)|November 9, 2020
Deep Parametric Mixtures for Modeling the Functional ConnectomeNicolas Honnorat, Adolf Pfefferbaum, Edith V Sullivan, et al.
Schizophrenia Research|December 25, 2017
Neuroanatomical heterogeneity of schizophrenia revealed by semi-supervised machine learning methodsNicolas Honnorat, Aoyan Dong, Eva Meisenzahl-Lechner, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|July 25, 2020
Variational AutoEncoder For Regression: Application to Brain Aging AnalysisQingyu Zhao, Ehsan Adeli, Nicolas Honnorat, et al.
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