Nicolas Honnorat

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 20

Top Topics

Gpu Accelerated

Granger Causality

Functional Connectivity

Top Venues

Medical Imaging: Image Processing

Publications

Nicolas Honnorat, Sudha Seshadri, Ron Killiany, John Blangero, David C. Glahn, Peter T. Fox, Mohamad Habes
Riemannian frameworks for the harmonization of resting-state functional MRI scans. Medical Image Anal. 91 (2024)
Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies. NeuroImage 269 (2023)
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
Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans. MLCN@MICCAI (2023)
Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies. CoRR (2022)
Nicolas Honnorat, Mohamad Habes
Covariance shrinkage can assess and improve functional connectomes. NeuroImage 256 (2022)
Nicolas Honnorat, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
Deep Parametric Mixtures for Modeling the Functional Connectome. PRIME@MICCAI (2020)
Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Kilian M. Pohl
Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. CoRR (2019)
Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl
Variational AutoEncoder for Regression: Application to Brain Aging Analysis. MICCAI (2) (2019)
Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl
Variational AutoEncoder For Regression: Application to Brain Aging Analysis. CoRR (2019)
Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
Covariance Shrinkage for Dynamic Functional Connectivity. CNI@MICCAI (2019)
Ishaan Batta, Nicolas Honnorat, Christos Davatzikos
Regularized topological data analysis for extraction of coherent brain regions. Medical Imaging: Image Processing (2019)
Dushyant Sahoo, Nicolas Honnorat, Christos Davatzikos
Sparse low-dimensional causal modeling for the analysis of brain function. Medical Imaging: Image Processing (2019)
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)
Nicolas Honnorat, Christos Davatzikos
Extrapolated nonnegative decompositions for the analysis of functional connectivity. Medical Imaging: Image Processing (2018)
Dushyant Sahoo, Nicolas Honnorat, Christos Davatzikos
GPU accelerated extraction of sparse Granger causality patterns. ISBI (2018)
Nicolas Honnorat, Christos Davatzikos
High resolution robust and smooth precision matrices to capture functional connectivity. Medical Imaging: Image Processing (2018)
Nicolas Honnorat, Christos Davatzikos
Sparse Hierachical Extrapolated Parametric Methods for Cortical Data Analysis. CoRR (2017)
Nicolas Honnorat, Christos Davatzikos
Riccati-Regularized Precision Matrices for Neuroimaging. IPMI (2017)
Nicolas Honnorat, Drew Parker, Birkan Tunç, Christos Davatzikos, Ragini Verma
Subject-Specific Structural Parcellations Based on Randomized AB-divergences. MICCAI (1) (2017)
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) (2016)
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 (2015)
Nicolas Honnorat, Harini Eavani, Theodore D. Satterthwaite, Christos Davatzikos
A Graph-Based Brain Parcellation Method Extracting Sparse Networks. PRNI (2013)
Hervé Le Borgne, Nicolas Honnorat
Fast shared boosting for large-scale concept detection. Multim. Tools Appl. 60 (2) (2012)
Nicolas Honnorat, Régis Vaillant, Nikos Paragios
Graph-based guide-wire segmentation through fusion of contrast-enhanced and fluoroscopic images. ISBI (2012)
Nicolas Honnorat, Régis Vaillant, Nikos Paragios
Graph-Based Geometric-Iconic Guide-Wire Tracking. MICCAI (1) (2011)
Nicolas Honnorat, Régis Vaillant, James S. Duncan, Nikos Paragios
Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods. ISBI (2011)
Nicolas Honnorat, Régis Vaillant, Nikos Paragios
Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images. MICCAI (3) (2010)
Hervé Le Borgne, Nicolas Honnorat
Fast shared boosting: Application to large-scale visual concept detection. CBMI (2010)
Nicolas Honnorat, Régis Vaillant, Nikos Paragios
Robust guidewire segmentation through boosting, clustering and linear programming. ISBI (2010)