Nicolas Honnorat

发表

A Graph-Based Brain Parcellation Method Extracting Sparse Networks

Christos Davatzikos, Theodore D. Satterthwaite, Harini Eavani, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Graph-based guide-wire segmentation through fusion of contrast-enhanced and fluoroscopic images

Nikos Paragios, Nicolas Honnorat, Régis Vaillant, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Sparse Hierachical Extrapolated Parametric Methods for Cortical Data Analysis pdf

Christos Davatzikos, Nicolas Honnorat, 2017, ArXiv.

Regularized topological data analysis for extraction of coherent brain regions

Christos Davatzikos, Nicolas Honnorat, Ishaan Batta, 2019, Medical Imaging: Image Processing.

Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images

Christos Davatzikos, Nicolas Honnorat, Erdem Varol, 2015, Scientific Reports.

GraSP: Geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex

Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, 2015, NeuroImage.

Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods

Nikos Paragios, James S. Duncan, Nicolas Honnorat, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Truncated Gaussian-Mixture Variational AutoEncoder

Kilian M. Pohl, Qingyu Zhao, Ehsan Adeli, 2019, 1902.03717.

Fast shared boosting for large-scale concept detection

Hervé Le Borgne, Nicolas Honnorat, H. Borgne, 2012, Multimedia Tools and Applications.

Robust guidewire segmentation through boosting, clustering and linear programming

Nikos Paragios, Nicolas Honnorat, Régis Vaillant, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Deep Parametric Mixtures for Modeling the Functional Connectome

Kilian M. Pohl, Edith V. Sullivan, Adolf Pfefferbaum, 2020, PRIME@MICCAI.

CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns

Bilwaj Gaonkar, Christos Davatzikos, Aoyan Dong, 2016, IEEE Transactions on Medical Imaging.

Graph-Based Geometric-Iconic Guide-Wire Tracking

Nikos Paragios, Nicolas Honnorat, Régis Vaillant, 2011, MICCAI.

Machine learning as a means toward precision diagnostics and prognostics

Bilwaj Gaonkar, Christos Davatzikos, Aoyan Dong, 2016 .

Sparse low-dimensional causal modeling for the analysis of brain function

Christos Davatzikos, Dushyant Sahoo, Nicolas Honnorat, 2019, Medical Imaging: Image Processing.

Paper authenticated smartphone

Nicolas Honnorat, Andre Honnorat, 2015 .

Riccati-Regularized Precision Matrices for Neuroimaging

Christos Davatzikos, Nicolas Honnorat, C. Davatzikos, 2016, IPMI.

Extrapolated nonnegative decompositions for the analysis of functional connectivity

Christos Davatzikos, Nicolas Honnorat, 2018, Medical Imaging.

Subject-Specific Structural Parcellations Based on Randomized AB-divergences

Christos Davatzikos, Ragini Verma, Drew Parker, 2017, MICCAI.

New Results - Fusion/Registration

Ben Glocker, Nikos Komodakis, Nikos Paragios, 2011 .

Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis

Kilian M. Pohl, Qingyu Zhao, Ehsan Adeli, 2019, IPMI.

Covariance Shrinkage for Dynamic Functional Connectivity

Kilian M. Pohl, Qingyu Zhao, Edith V. Sullivan, 2019, CNI@MICCAI.

Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images

Nikos Paragios, Nicolas Honnorat, Régis Vaillant, 2010, MICCAI.

Variational AutoEncoder For Regression: Application to Brain Aging Analysis

Kilian M. Pohl, Qingyu Zhao, Ehsan Adeli, 2019, MICCAI.

GPU accelerated extraction of sparse Granger causality patterns

Christos Davatzikos, Dushyant Sahoo, Nicolas Honnorat, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

High resolution robust and smooth precision matrices to capture functional connectivity

Christos Davatzikos, Nicolas Honnorat, 2018, Medical Imaging.

Fast shared boosting: Application to large-scale visual concept detection

Hervé Le Borgne, Nicolas Honnorat, H. Borgne, 2010, 2010 International Workshop on Content Based Multimedia Indexing (CBMI).

Network changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD

Danielle S Bassett, Christos Davatzikos, Shi Gu, 2018, Molecular Psychiatry.

Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods

Christos Davatzikos, Mohamad Habes, Susan M. Resnick, 2018, Neurobiology of Aging.

Neuroanatomical heterogeneity of schizophrenia revealed by semi-supervised machine learning methods

Christos Davatzikos, Aoyan Dong, Nikolaos Koutsouleris, 2019, Schizophrenia Research.