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Nicolas Honnorat
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2020 – today
- 2020
- [c18]Nicolas Honnorat, Adolf Pfefferbaum, Edith V. Sullivan
, Kilian M. Pohl:
Deep Parametric Mixtures for Modeling the Functional Connectome. PRIME@MICCAI 2020: 133-143
2010 – 2019
- 2019
- [c17]Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan
, Kilian M. Pohl:
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. IPMI 2019: 867-879 - [c16]Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan
, Kilian M. Pohl:
Covariance Shrinkage for Dynamic Functional Connectivity. CNI@MICCAI 2019: 32-41 - [c15]Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl:
Variational AutoEncoder for Regression: Application to Brain Aging Analysis. MICCAI (2) 2019: 823-831 - [c14]Ishaan Batta, Nicolas Honnorat, Christos Davatzikos:
Regularized topological data analysis for extraction of coherent brain regions. Medical Imaging: Image Processing 2019: 109490I - [c13]Dushyant Sahoo, Nicolas Honnorat, Christos Davatzikos:
Sparse low-dimensional causal modeling for the analysis of brain function. Medical Imaging: Image Processing 2019: 109492R - [i3]Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Kilian M. Pohl:
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. CoRR abs/1902.03717 (2019) - [i2]Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl:
Variational AutoEncoder For Regression: Application to Brain Aging Analysis. CoRR abs/1904.05948 (2019) - 2018
- [c12]Dushyant Sahoo, Nicolas Honnorat, Christos Davatzikos:
GPU accelerated extraction of sparse Granger causality patterns. ISBI 2018: 604-607 - [c11]Nicolas Honnorat, Christos Davatzikos:
High resolution robust and smooth precision matrices to capture functional connectivity. Medical Imaging: Image Processing 2018: 105742B - [c10]Nicolas Honnorat, Christos Davatzikos:
Extrapolated nonnegative decompositions for the analysis of functional connectivity. Medical Imaging: Image Processing 2018: 1057410 - 2017
- [c9]Nicolas Honnorat, Christos Davatzikos
:
Riccati-Regularized Precision Matrices for Neuroimaging. IPMI 2017: 275-286 - [c8]Nicolas Honnorat, Drew Parker, Birkan Tunç, Christos Davatzikos
, Ragini Verma:
Subject-Specific Structural Parcellations Based on Randomized AB-divergences. MICCAI (1) 2017: 407-415 - [i1]Nicolas Honnorat, Christos Davatzikos:
Sparse Hierachical Extrapolated Parametric Methods for Cortical Data Analysis. CoRR abs/1704.08631 (2017) - 2016
- [j3]Aoyan Dong, Nicolas Honnorat, Bilwaj Gaonkar, Christos Davatzikos
:
CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns. IEEE Trans. Medical Imaging 35(2): 612-621 (2016) - 2015
- [j2]Nicolas Honnorat, Harini Eavani, Theodore D. Satterthwaite
, Raquel E. Gur, Ruben C. Gur, Christos Davatzikos
:
GraSP: Geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex. NeuroImage 106: 207-221 (2015) - 2013
- [c7]Nicolas Honnorat, Harini Eavani, Theodore D. Satterthwaite, Christos Davatzikos
:
A Graph-Based Brain Parcellation Method Extracting Sparse Networks. PRNI 2013: 157-160 - 2012
- [j1]Hervé Le Borgne, Nicolas Honnorat:
Fast shared boosting for large-scale concept detection. Multim. Tools Appl. 60(2): 389-402 (2012) - [c6]Nicolas Honnorat, Régis Vaillant, Nikos Paragios:
Graph-based guide-wire segmentation through fusion of contrast-enhanced and fluoroscopic images. ISBI 2012: 948-951 - 2011
- [c5]Nicolas Honnorat, Régis Vaillant, James S. Duncan, Nikos Paragios:
Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods. ISBI 2011: 1353-1357 - [c4]Nicolas Honnorat, Régis Vaillant, Nikos Paragios:
Graph-Based Geometric-Iconic Guide-Wire Tracking. MICCAI (1) 2011: 9-16 - 2010
- [c3]Hervé Le Borgne, Nicolas Honnorat:
Fast shared boosting: Application to large-scale visual concept detection. CBMI 2010: 1-6 - [c2]Nicolas Honnorat, Régis Vaillant, Nikos Paragios:
Robust guidewire segmentation through boosting, clustering and linear programming. ISBI 2010: 924-927 - [c1]Nicolas Honnorat, Régis Vaillant, Nikos Paragios:
Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images. MICCAI (3) 2010: 440-448
Coauthor Index

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