Sylvain Faisan

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 15

Top Topics

Multiple Databases

Manifold Learning

Top Venues

Signal Process.

Publications

Chloé Mercier, Sylvain Faisan, Alexandre Pron, Nadine Girard, Guillaume Auzias, Thierry Chonavel, François Rousseau
Retrospective motion estimation for fetal brain MRI. IPTA (2023)
Kaifeng Zou, Sylvain Faisan, Boyang Yu, Sébastien Valette, Hyewon Seo
4D Facial Expression Diffusion Model. CoRR (2023)
Alexandre Stenger, Luc Vedrenne, Patrick Schultz, Sylvain Faisan, Étienne Baudrier, Benoît Naegel
Fast and Interpretable Unsupervised Domain Adaptation for FIB-SEM Cell Segmentation. ISBI (2023)
Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Sébastien Valette
Disentangling high-level factors and their features with conditional vector quantized VAEs. Pattern Recognit. Lett. 172 (2023)
Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Marie Epain, Pierre Croisille, Laurent Fanton, Sébastien Valette
Disentangled representations: towards interpretation of sex determination from hip bone. Vis. Comput. 39 (12) (2023)
Stéphane Dilungana, Antoine Deleforge, Cédric Foy, Sylvain Faisan
Geometry-Informed Estimation of Surface Absorption Profiles from Room Impulse Responses. EUSIPCO (2022)
Denis Fortun, Étienne Baudrier, Fabian Zwettler, Markus Sauer, Sylvain Faisan
Multiview point cloud registration with anisotropic and space-varying localization noise. CoRR (2022)
Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Sébastien Valette
Joint Disentanglement of Labels and Their Features with VAE. ICIP (2022)
Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Marie Epain, Pierre Croisille, Laurent Fanton, Sébastien Valette
Disentangled representations: towards interpretation of sex determination from hip bone. CoRR (2021)
Youbo Fan, Sylvain Faisan, Étienne Baudrier, Fabian Zwettler, Markus Sauer, Denis Fortun
Stacked Pointnets For Alignment Of Particles With Cylindrical Symmetry In Single Molecule Localization Microscopy. ISBI (2021)
Carlos Tor-Díez, Chi-Hieu Pham, Hélène Meunier, Sylvain Faisan, Isabelle Bloch, Nathalie Bednarek, Nicolas Passat, François Rousseau
Evaluation of cortical segmentation pipelines on clinical neonatal MRI data. EMBC (2019)
Carlos Tor-Díez, Sylvain Faisan, Loïc Mazo, Nathalie Bednarek, Hélène Meunier, Isabelle Bloch, Nicolas Passat, François Rousseau
Multilabel, Multiscale Topological Transformation for Cerebral MRI Segmentation Post-processing. ISMM (2019)
Florian Tilquin, Sylvain Faisan, Fabrice Heitz, Vincent Noblet, Frédéric Blanc, Izzie Namer
Anomaly Detection in Single Subject vs Group Using Manifold Learning. ICASSP (2019)
Hugo Touvron, Sylvain Faisan, Florian Tilquin, Vincent Noblet
Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases. ISBI (2019)
Carlos Tor-Díez, Nicolas Passat, Isabelle Bloch, Sylvain Faisan, Nathalie Bednarek, François Rousseau
An iterative multi-atlas patch-based approach for cortex segmentation from neonatal MRI. Comput. Medical Imaging Graph. 70 (2018)
Vincent Mazet, Sylvain Faisan, Slim Awali, Marc-André Gaveau, Lionel Poisson
Unsupervised joint decomposition of a spectroscopic signal sequence. Signal Process. 109 (2015)
Sylvain Mazet, Sylvain Faisan, Antoine Masson, Marc-André Gaveau, Lionel Poisson, Jean-Michel Mestdagh
Approche bayésienne pour la décomposition conjointe d'une séquence de spectres de photo-électrons. Traitement du Signal 30 (1-2) (2013)
Sylvain Faisan
A new paradigm to compare a subject to a statistical model. Application to the detection of skull abnormalities. Pattern Recognit. Lett. 33 (10) (2012)
Najla Gribaa, Vincent Noblet, Nawrès Khalifa, Sylvain Faisan, Kamel Hamrouni
Binary Image Registration Based on Geometric Moments: Application to the Registraion of 3D Segmented CT Head Images. Int. J. Image Graph. 12 (2) (2012)
Vincent Mazet, Sylvain Faisan, Antoine Masson, Marc-André Gaveau, Lionel Poisson, Jean-Michel Mestdagh
Joint Bayesian decomposition of a spectroscopic signal sequence with RJMCMC. SSP (2012)
Vincent Mazet, Sylvain Faisan, Antoine Masson, Marc-André Gaveau, Lionel Poisson
Unsupervised joint Bayesian decomposition of a sequence of photoelectron spectra. WHISPERS (2011)
Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Christophe Meyer
Topology Preserving Warping of 3-D Binary Images According to Continuous One-to-One Mappings. IEEE Trans. Image Process. 20 (8) (2011)
Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Christophe Meyer
Topology Preserving Warping of Binary Images: Application to Atlas-Based Skull Segmentation. MICCAI (1) (2008)
Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Jean-Paul Armspach, Christophe Meyer
Segmentation of head bones in 3-D CT images from an example. ISBI (2008)
Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz
Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI data. Medical Image Anal. 11 (1) (2007)
Sylvain Faisan, Laurent Thoraval, Fabrice Heitz, Jean-Paul Armspach
Hidden Markovian Modeling and Analysis of Multiple-Event-Sequence-Based Random Processes. Application to Robust Detection of Brain Functional Activation. ICASSP (5) (2006)
Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz, Jack Foucher
Unsupervised spatio-temporal detection of brain functional activation based on hidden Markov multiple event sequence models. Medical Imaging: Image Processing (2005)
Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Marie-Noëlle Metz-Lutz, Fabrice Heitz
Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models. IEEE Trans. Medical Imaging 24 (2) (2005)
Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz
Unsupervised Learning and Mapping of Brain fMRI Signals Based on Hidden Semi-Markov Event Sequence Models. MICCAI (2) (2003)
Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz
Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis. ICIP (1) (2002)