Thomas Vincent

Thomas Vincent, Philippe Ciuciu, Solveig Badillo, 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).

カメラトラッキングと歩行者デッドレコニングの連携に基づく広域屋内測位を用いた複合現実感メンテナンス作業支援システム (第111回ヒューマンインタフェース学会研究会人工現実感および一般)

Thomas Vincent, 牧田孝嗣, 興梠正克, 2014 .

Handheld augmented reality interaction : spatial relations. (Interaction en réalité augmentée sur dispositif mobile : relations spatiales)

Thomas Vincent, 2014 .

Robust voxel-wise joint detection estimation of brain activity in fMRI

Lotfi Chaâri, Thomas Vincent, Philippe Ciuciu, 2012, 2012 19th IEEE International Conference on Image Processing.

Handheld Augmented Reality: Spatial Relationships and Frames of Reference

Laurence Nigay, Thomas Vincent, Takeshi Kurata, 2013 .

Sensitivity analysis of parcellation in the joint detection-estimation of brain activity in fMRI

Bertrand Thirion, Thomas Vincent, Philippe Ciuciu, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Power Consumption of IPv6 vs IPv4 in Smartphone

Alexandre Petrescu, Olivier Philippot, Thomas Vincent, 2017 .

Flexible multivariate hemodynamics fMRI data analyses and simulations with PyHRF

Laurent Risser, Thomas Vincent, Philippe Ciuciu, 2014, Front. Neurosci..

Group-level impacts of within- and between-subject hemodynamic variability in fMRI

Thomas Vincent, Philippe Ciuciu, Solveig Badillo, 2013, NeuroImage.

A joint detection-estimation framework for analysing within-subject fMRI data

Thomas Vincent, Philippe Ciuciu, Sophie Donnet, 2010 .

Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach

Lotfi Chaâri, Thomas Vincent, Philippe Ciuciu, 2013, IEEE Transactions on Medical Imaging.

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification pdf

Stan Matwin, Mohammad Havaei, Nicolas Chapados, 2018, ArXiv.

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

Anthony Przybylski, Xavier Gandibleux, Thomas Vincent, 2013, Comput. Oper. Res..

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

Bertrand Thirion, Thomas Vincent, Philippe Ciuciu, 2008, NeuroImage.

Min-max Extrapolation Scheme for Fast Estimation of 3D Potts Field Partition Functions. Application to the Joint Detection-Estimation of Brain Activity in fMRI

Laurent Risser, Jérôme Idier, Thomas Vincent, 2011, J. Signal Process. Syst..

Application du rééchantillonnage stochastique de l'échelle en détection-estimation de l'activité cérébrale par IRMf

Thomas Vincent, Philippe Ciuciu, Thomas Veit, 2007 .

Survey of compressed domain audio features and their expressiveness

Silvia Pfeiffer, Thomas Vincent, 2003, IS&T/SPIE Electronic Imaging.

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

Lotfi Chaâri, Thomas Vincent, Philippe Ciuciu, 2012, MICCAI.

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

Laurent Risser, Jérôme Idier, Thomas Vincent, 2009, MICCAI.

Multi-session extension of the joint-detection framework in fMRI

Thomas Vincent, Philippe Ciuciu, Solveig Badillo, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Hemodynamically informed parcellation of cerebral FMRI data

Thomas Vincent, Philippe Ciuciu, Florence Forbes, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Joint Detection-Estimation in Functional MRI

Thomas Vincent, Philippe Ciuciu, Florence Forbes, 2015 .

Modelling the neurovascular habituation effect on fMRI time series

Jérôme Idier, Thomas Vincent, Philippe Ciuciu, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Spatially unsupervised analysis of within-subject FMRI data using multiple extrapolations of 3D Ising field Partition Functions

Laurent Risser, Thomas Vincent, Philippe Ciuciu, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.