Nicolas Honnorat

30 papers B 4C 1Journal 10Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Interpretable Networks to Model the Accumulation of Tau Protein in the Brain. iMIMIC@MICCAI Nicolas Honnorat, Mohamad Habes
2024	J	`jnl`	Riemannian frameworks for the harmonization of resting-state functional MRI scans. Medical Image Anal. Nicolas Honnorat, Sudha Seshadri, Ron Killiany, John Blangero, David C. Glahn, Peter T. Fox, Mohamad Habes
2023	—	`conf`	Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans. MLCN@MICCAI 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
2023	J	`jnl`	Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies. NeuroImage Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes
2022	J	`jnl`	Covariance shrinkage can assess and improve functional connectomes. NeuroImage Nicolas Honnorat, Mohamad Habes
2022	J	`jnl`	Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies. CoRR Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes
2020	—	`conf`	Deep Parametric Mixtures for Modeling the Functional Connectome. PRIME@MICCAI Nicolas Honnorat, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
2019	—	`conf`	Covariance Shrinkage for Dynamic Functional Connectivity. CNI@MICCAI Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
2019	B	`conf`	Regularized topological data analysis for extraction of coherent brain regions. Image Processing Ishaan Batta, Nicolas Honnorat, Christos Davatzikos
2019	B	`conf`	Sparse low-dimensional causal modeling for the analysis of brain function. Image Processing Dushyant Sahoo, Nicolas Honnorat, Christos Davatzikos
2019	J	`jnl`	Variational AutoEncoder For Regression: Application to Brain Aging Analysis. CoRR Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl
2019	—	`conf`	Variational AutoEncoder for Regression: Application to Brain Aging Analysis. MICCAI (2) Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl
2019	—	`conf`	Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. IPMI Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
2019	J	`jnl`	Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis. CoRR Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Kilian M. Pohl
2018	B	`conf`	Extrapolated nonnegative decompositions for the analysis of functional connectivity. Image Processing Nicolas Honnorat, Christos Davatzikos
2018	—	`conf`	GPU accelerated extraction of sparse Granger causality patterns. ISBI Dushyant Sahoo, Nicolas Honnorat, Christos Davatzikos
2018	B	`conf`	High resolution robust and smooth precision matrices to capture functional connectivity. Image Processing Nicolas Honnorat, Christos Davatzikos
2017	—	`conf`	Riccati-Regularized Precision Matrices for Neuroimaging. IPMI Nicolas Honnorat, Christos Davatzikos
2017	J	`jnl`	Sparse Hierachical Extrapolated Parametric Methods for Cortical Data Analysis. CoRR Nicolas Honnorat, Christos Davatzikos
2017	—	`conf`	Subject-Specific Structural Parcellations Based on Randomized AB-divergences. MICCAI (1) Nicolas Honnorat, Drew Parker, Birkan Tunç, Christos Davatzikos, Ragini Verma
2016	J	`jnl`	CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns. IEEE Trans. Medical Imaging Aoyan Dong, Nicolas Honnorat, Bilwaj Gaonkar, Christos Davatzikos
2015	J	`jnl`	GraSP: Geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex. NeuroImage Nicolas Honnorat, Harini Eavani, Theodore D. Satterthwaite, Raquel E. Gur, Ruben C. Gur, Christos Davatzikos
2013	—	`conf`	A Graph-Based Brain Parcellation Method Extracting Sparse Networks. PRNI Nicolas Honnorat, Harini Eavani, Theodore D. Satterthwaite, Christos Davatzikos
2012	J	`jnl`	Fast shared boosting for large-scale concept detection. Multim. Tools Appl. Hervé Le Borgne, Nicolas Honnorat
2012	—	`conf`	Graph-based guide-wire segmentation through fusion of contrast-enhanced and fluoroscopic images. ISBI Nicolas Honnorat, Régis Vaillant, Nikos Paragios
2011	—	`conf`	Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods. ISBI Nicolas Honnorat, Régis Vaillant, James S. Duncan, Nikos Paragios
2011	—	`conf`	Graph-Based Geometric-Iconic Guide-Wire Tracking. MICCAI (1) Nicolas Honnorat, Régis Vaillant, Nikos Paragios
2010	C	`conf`	Fast shared boosting: Application to large-scale visual concept detection. CBMI Hervé Le Borgne, Nicolas Honnorat
2010	—	`conf`	Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images. MICCAI (3) Nicolas Honnorat, Régis Vaillant, Nikos Paragios
2010	—	`conf`	Robust guidewire segmentation through boosting, clustering and linear programming. ISBI Nicolas Honnorat, Régis Vaillant, Nikos Paragios