Nicolas Honnorat
Research Scientist
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Research
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Softwares/Data
Copyright 2019 Nicolas Honnorat
Copyright 2019 Nicolas Honnorat
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis.Information Processing in Medical Imaging (IPMI) 2019 Hong Kong
Regularized topological data analysis for extraction of coherent brain regions.SPIE Medical Imaging 2019 San Diego
Sparse low-dimensional causal modeling for the analysis of brain function.SPIE Medical Imaging 2019 San Diego
Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods.Neurobiology of Aging 2018 71:41-50
Network changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD.Molecular Psychiatry 2018 12:2314-2323
GPU accelerated extraction of sparse Granger causality patterns.IEEE International Symposium on Biomedical Imaging (ISBI) 2018 Washington, D.C. (oral presentation)
Extrapolated nonnegative decompositions for the analysis of functional connectivity.SPIE Medical Imaging 2018 Houston
High resolution robust and smooth precision matrices to capture functional connectivity.SPIE Medical Imaging 2018 Houston poster
Neuroanatomical Heterogeneity of Schizophrenia Revealed by Semi-supervised Machine Learning Methods.Schizophrenia Research In press
Subject-specific Structural Parcellations Based on Randomized AB-divergences.International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2017 poster
Riccati-regularized Precision Matrices for Neuroimaging.Information Processing in Medical Imaging (IPMI) 2017 275-86
sGraSP: A graph-based method for the derivation of subject-specific functional parcellations of the brain.Journal of neuroscience methods 2017 277:1-20
Heterogeneity of neuroanatomical patterns in prodromal Alzheimer's disease: links to cognition, progression and biomarkers.Brain 2017 140(3):735-747
Randomized voxel based morphometry for the study of cortical myelin group differences.Organization for Human Brain Mapping (OHBM) 2017 Vancouver
GPU accelerated extraction of sparse Granger causality patterns.Organization for Human Brain Mapping (OHBM) 2017 Vancouver
Functional Stability of the Human Connectome Project Parcellation.Organization for Human Brain Mapping (OHBM) 2017 Vancouver poster
Relations between local cortical geometry and functional homogeneity: a replication study.Organization for Human Brain Mapping (OHBM) 2017 Vancouver poster
Mapping the heterogeneity of neuroanatomy and functional connectivity deviation from typical brain aging: a pattern analysis and machine learning study.Alzheimer's and Dementia July 2017 13(7):P1464
Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images.Scientific reports 2016 6:23431
CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns.IEEE transactions on medical imaging (TMI) 2016 35(2):612-21
Chapter 10, Machine learning as a means toward precision diagnostics and prognostics.in Machine Learning and Medical Imaging. pp:299-334. Wu G, Shen D, Sabuncu M, editors. London, United Kingdom: Academic Press is an imprint of Elsevier 2016
Discovering heterogeneous patterns of advanced brain aging: a BLSA study.Organization for Human Brain Mapping (OHBM) 2016 Geneva (oral presentation, top 1%) poster
Reproducible and Efficient Computation of Functional Partial Correlations for the Entire Brain.Organization for Human Brain Mapping (OHBM) 2016 Geneva poster
GraSP: geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex.NeuroImage 2015 106:207-21
Subject-specific Parcellations Detect Reduced Local Functional Coherence during Neuro Development.Organization for Human Brain Mapping (OHBM) 2015 Honolulu poster
Correlation and Spatial Coherence of Functional Homogeneity, Cortical Curvature and Thickness.Organization for Human Brain Mapping (OHBM) 2015 Honolulu poster
Discrete functional parcellation of the cortex with clustering methods and MRF.Fourth Biennial Conference on Resting State-Brain Connectivity 2014 MIT, Boston poster
Functional Parcellation of the Cortex from rs-fMRI with Graph-based Methods and shape priors.Organization for Human Brain Mapping (OHBM) 2014 Hamburg
A Graph-based Brain Parcellation Method Extracting Sparse Networks.International Workshop on Pattern Recognition in Neuroimaging (PRNI) 2013 157-60
Fast shared boosting for large-scale concept detection.Multimedia Tools and Applications 2012 60(2):389-402
Graph-based Guide-wire Segmentation through Fusion of Contrast-enhanced and fluoroscopic Images.IEEE International Symposium on Biomedical Imaging (ISBI) 2012 948-51
Graph-based geometric-iconic guide-wire tracking.International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2011 14(Pt 1):9-16
Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods.IEEE International Symposium on Biomedical Imaging (ISBI) 2011 1353-1357
Guide-wire extraction through perceptual organization of local segments in fluoroscopic images.International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2010 13(Pt 3):440-8
Robust guidewire segmentation through boosting, clustering and linear programming.IEEE International Symposium on Biomedical Imaging (ISBI) 2010 924-927
Fast shared boosting for large-scale concept detection.International Workshop on Content Based Multimedia Indexing (CBMI). 2010 1-6 (best paper award)
Accélérer le boosting avec partage de caractéristiques.Proceedings of CORESA 2009. 2009 203-8