Nicolas Honnorat

According to our database, Nicolas Honnorat authored at least 27 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Riemannian frameworks for the harmonization of resting-state functional MRI scans.

Nicolas Honnorat, Sudha Seshadri, Ron Killiany, John Blangero, David C. Glahn, Peter T. Fox, Mohamad Habes

Medical Image Anal., January, 2024

2023

Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies.

Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes

NeuroImage, April, 2023

Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans.

Anoop Benet Nirmala, Tanweer Rashid, Elyas Fadaee, Nicolas Honnorat, Karl Li, Sokratis Charisis, Di Wang, Aishwarya Vemula, Jinqi Li, Peter Fox, Timothy E. Richardson, Jamie M. Walker, Kevin Bieniek, Sudha Seshadri, Mohamad Habes

Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023

2022

Covariance shrinkage can assess and improve functional connectomes.

Nicolas Honnorat, Mohamad Habes

NeuroImage, 2022

2020

Deep Parametric Mixtures for Modeling the Functional Connectome.

Nicolas Honnorat, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

2019

Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis.

Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Kilian M. Pohl

CoRR, 2019

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

Dushyant Sahoo, Nicolas Honnorat, Christos Davatzikos

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Regularized topological data analysis for extraction of coherent brain regions.

Ishaan Batta, Nicolas Honnorat, Christos Davatzikos

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Variational AutoEncoder for Regression: Application to Brain Aging Analysis.

Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Covariance Shrinkage for Dynamic Functional Connectivity.

Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl

Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019

Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis.

Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl

Proceedings of the Information Processing in Medical Imaging, 2019

2018

High resolution robust and smooth precision matrices to capture functional connectivity.

Nicolas Honnorat, Christos Davatzikos

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Extrapolated nonnegative decompositions for the analysis of functional connectivity.

Nicolas Honnorat, Christos Davatzikos

Proceedings of the Medical Imaging 2018: Image Processing, 2018

GPU accelerated extraction of sparse Granger causality patterns.

Dushyant Sahoo, Nicolas Honnorat, Christos Davatzikos

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Sparse Hierachical Extrapolated Parametric Methods for Cortical Data Analysis.

Nicolas Honnorat, Christos Davatzikos

CoRR, 2017

Subject-Specific Structural Parcellations Based on Randomized AB-divergences.

Nicolas Honnorat, Drew Parker, Birkan Tunç, Christos Davatzikos, Ragini Verma

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Riccati-Regularized Precision Matrices for Neuroimaging.

Nicolas Honnorat, Christos Davatzikos

Proceedings of the Information Processing in Medical Imaging, 2017

2016

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

Aoyan Dong, Nicolas Honnorat, Bilwaj Gaonkar, Christos Davatzikos

IEEE Trans. Medical Imaging, 2016

2015

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

Nicolas Honnorat, Harini Eavani, Theodore D. Satterthwaite, Raquel E. Gur, Ruben C. Gur, Christos Davatzikos

NeuroImage, 2015

2013

A Graph-Based Brain Parcellation Method Extracting Sparse Networks.

Nicolas Honnorat, Harini Eavani, Theodore D. Satterthwaite, Christos Davatzikos

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

2012

Fast shared boosting for large-scale concept detection.

Hervé Le Borgne, Nicolas Honnorat

Multim. Tools Appl., 2012

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

Nicolas Honnorat, Régis Vaillant, Nikos Paragios

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

Graph-Based Geometric-Iconic Guide-Wire Tracking.

Nicolas Honnorat, Régis Vaillant, Nikos Paragios

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods.

Nicolas Honnorat, Régis Vaillant, James S. Duncan, Nikos Paragios

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

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

Nicolas Honnorat, Régis Vaillant, Nikos Paragios

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Robust guidewire segmentation through boosting, clustering and linear programming.

Nicolas Honnorat, Régis Vaillant, Nikos Paragios

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

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

Hervé Le Borgne, Nicolas Honnorat

Proceedings of the 2010 International Workshop on Content-Based Multimedia Indexing, 2010