Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis. - Sylvain Faisan; Laurent Thoraval; Jean-Paul Armspach; Fabrice Heitz (ICIP (1), 2002)

Unsupervised Learning and Mapping of Brain fMRI Signals Based on Hidden Semi-Markov Event Sequence Models. - Sylvain Faisan; Laurent Thoraval; Jean-Paul Armspach; Fabrice Heitz (MICCAI (2), 2003)

Unsupervised spatio-temporal detection of brain functional activation based on hidden Markov multiple event sequence models. - Sylvain Faisan; Laurent Thoraval; Jean-Paul Armspach; Fabrice Heitz; Jack Foucher (Image Processing, 2005)

Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models. - Sylvain Faisan; Laurent Thoraval; Jean-Paul Armspach; Marie-Noëlle Metz-Lutz; Fabrice Heitz (IEEE Trans. Medical Imaging, 2005)

Hidden Markovian Modeling and Analysis of Multiple-Event-Sequence-Based Random Processes. Application to Robust Detection of Brain Functional Activation. - Sylvain Faisan; Laurent Thoraval; Fabrice Heitz; Jean-Paul Armspach (ICASSP (5), 2006)

Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI data. - Sylvain Faisan; Laurent Thoraval; Jean-Paul Armspach; Fabrice Heitz (Medical Image Anal., 2007)

Segmentation of head bones in 3-D CT images from an example. - Sylvain Faisan; Nicolas Passat; Vincent Noblet; Renée Chabrier; Jean-Paul Armspach; Christophe Meyer (ISBI, 2008)

Topology Preserving Warping of Binary Images: Application to Atlas-Based Skull Segmentation. - Sylvain Faisan; Nicolas Passat; Vincent Noblet; Renée Chabrier; Christophe Meyer (MICCAI (1), 2008)

Unsupervised joint Bayesian decomposition of a sequence of photoelectron spectra. - Vincent Mazet; Sylvain Faisan; Antoine Masson; Marc-André Gaveau; Lionel Poisson (WHISPERS, 2011)

Topology Preserving Warping of 3-D Binary Images According to Continuous One-to-One Mappings. - Sylvain Faisan; Nicolas Passat; Vincent Noblet; Renée Chabrier; Christophe Meyer (IEEE Trans. Image Process., 2011)

Joint Bayesian decomposition of a spectroscopic signal sequence with RJMCMC. - Vincent Mazet; Sylvain Faisan; Antoine Masson; Marc-André Gaveau; Lionel Poisson; Jean-Michel Mestdagh (SSP, 2012)

Binary Image Registration Based on Geometric Moments: Application to the Registraion of 3D Segmented CT Head Images. - Najla Gribaa; Vincent Noblet; Nawrès Khalifa; Sylvain Faisan; Kamel Hamrouni (Int. J. Image Graph., 2012)

A new paradigm to compare a subject to a statistical model. Application to the detection of skull abnormalities. - Sylvain Faisan (Pattern Recognit. Lett., 2012)

Approche bayésienne pour la décomposition conjointe d'une séquence de spectres de photo-électrons. - Sylvain Mazet; Sylvain Faisan; Antoine Masson; Marc-André Gaveau; Lionel Poisson; Jean-Michel Mestdagh (Traitement du Signal, 2013)

Unsupervised joint decomposition of a spectroscopic signal sequence. - Vincent Mazet; Sylvain Faisan; Slim Awali; Marc-André Gaveau; Lionel Poisson (Signal Process., 2015)

An iterative multi-atlas patch-based approach for cortex segmentation from neonatal MRI. - Carlos Tor-Díez; Nicolas Passat; Isabelle Bloch; Sylvain Faisan; Nathalie Bednarek; François Rousseau 002 (Comput. Medical Imaging Graph., 2018)

Evaluation of cortical segmentation pipelines on clinical neonatal MRI data. - Carlos Tor-Díez; Chi-Hieu Pham; Hélène Meunier; Sylvain Faisan; Isabelle Bloch; Nathalie Bednarek; Nicolas Passat; François Rousseau 002 (EMBC, 2019)

Anomaly Detection in Single Subject vs Group Using Manifold Learning. - Florian Tilquin; Sylvain Faisan; Fabrice Heitz; Vincent Noblet; Frédéric Blanc 002; Izzie Namer (ICASSP, 2019)

Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases. - Hugo Touvron; Sylvain Faisan; Florian Tilquin; Vincent Noblet (ISBI, 2019)

Multilabel, Multiscale Topological Transformation for Cerebral MRI Segmentation Post-processing. - Carlos Tor-Díez; Sylvain Faisan; Loïc Mazo; Nathalie Bednarek; Hélène Meunier; Isabelle Bloch; Nicolas Passat; François Rousseau 002 (ISMM, 2019)

Stacked Pointnets For Alignment Of Particles With Cylindrical Symmetry In Single Molecule Localization Microscopy. - Youbo Fan; Sylvain Faisan; Étienne Baudrier; Fabian Zwettler; Markus Sauer; Denis Fortun (ISBI, 2021)

Geometry-Informed Estimation of Surface Absorption Profiles from Room Impulse Responses. - Stéphane Dilungana; Antoine Deleforge; Cédric Foy; Sylvain Faisan (EUSIPCO, 2022)

Joint Disentanglement of Labels and Their Features with VAE. - Kaifeng Zou; Sylvain Faisan; Fabrice Heitz; Sébastien Valette (ICIP, 2022)

Multiview point cloud registration with anisotropic and space-varying localization noise. - Denis Fortun; Étienne Baudrier; Fabian Zwettler; Markus Sauer; Sylvain Faisan (CoRR, 2022)

Retrospective motion estimation for fetal brain MRI. - Chloé Mercier 002; Sylvain Faisan; Alexandre Pron; Nadine Girard; Guillaume Auzias; Thierry Chonavel; François Rousseau 002 (IPTA, 2023)

Fast and Interpretable Unsupervised Domain Adaptation for FIB-SEM Cell Segmentation. - Alexandre Stenger; Luc Vedrenne; Patrick Schultz; Sylvain Faisan; Étienne Baudrier; Benoît Naegel (ISBI, 2023)

Disentangling high-level factors and their features with conditional vector quantized VAEs. - Kaifeng Zou; Sylvain Faisan; Fabrice Heitz; Sébastien Valette (Pattern Recognit. Lett., 2023)

Disentangled representations: towards interpretation of sex determination from hip bone. - Kaifeng Zou; Sylvain Faisan; Fabrice Heitz; Marie Epain; Pierre Croisille; Laurent Fanton; Sébastien Valette (Vis. Comput., 2023)

Intersection-based slice motion estimation for fetal brain imaging. - Chloé Mercier 002; Sylvain Faisan; Alexandre Pron; Nadine Girard; Guillaume Auzias; Thierry Chonavel; François Rousseau 002 (Comput. Biol. Medicine, 2025)

Multiview Point Cloud Registration with Anisotropic and Spatially Varying Localization Noise. - Denis Fortun; Étienne Baudrier; Fabian Zwettler; Markus Sauer; Sylvain Faisan (SIAM J. Imaging Sci., 2025)

Multiview Point Cloud Registration via Optimization in an Autoencoder Latent Space. - Luc Vedrenne; Sylvain Faisan; Denis Fortun (IEEE Trans. Image Process., 2025)

4D Facial Expression Diffusion Model. - Kaifeng Zou; Sylvain Faisan; Boyang Yu 002; Sébastien Valette; Hyewon Seo (ACM Trans. Multim. Comput. Commun. Appl., 2025)

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning. - Tristan Kirscher; Sylvain Faisan; Xavier Coubez; Loris Barrier; Philippe Meyer (CoRR, 2025)