Thomas Vincent

On the Definition of Signal-To-Noise Ratio and Contrast-To-Noise Ratio for fMRI Data

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Big-Loop Recurrence within the Hippocampal System Supports Integration of Information across Episodes

Search for patterns of functional specificity in the brain: A nonparametric hierarchical Bayesian model for group fMRI data

Bayesian analysis of neuroimaging data in FSL

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis

A Bayesian model of shape and appearance for subcortical brain segmentation

Bayesian deconvolution fMRI data using bilinear dynamical systems

Deep learning in neural networks: An overview

Heuristic approaches for biobjective mixed 0–1 integer linear programming problems

Ontology learning algorithm for similarity measuring and ontology mapping using linear programming

Spatial clustering of time series via mixture of autoregressions models and Markov random fields

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

Variational Inference: A Review for Statisticians

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

Finite Mixture Models

A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI

Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework

Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis

Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series

Multiple objective branch and bound for mixed 0-1 linear programming: Corrections and improvements for the biobjective case