Sylvain Faisan

According to our database, Sylvain Faisan authored at least 29 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2023

Disentangling high-level factors and their features with conditional vector quantized VAEs.

Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Sébastien Valette

Pattern Recognit. Lett., August, 2023

4D Facial Expression Diffusion Model.

Kaifeng Zou, Sylvain Faisan, Boyang Yu, Sébastien Valette, Hyewon Seo

CoRR, 2023

Fast and Interpretable Unsupervised Domain Adaptation for FIB-SEM Cell Segmentation.

Alexandre Stenger, Luc Vedrenne, Patrick Schultz, Sylvain Faisan, Étienne Baudrier, Benoît Naegel

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Retrospective motion estimation for fetal brain MRI.

Chloé Mercier, Sylvain Faisan, Alexandre Pron, Nadine Girard, Guillaume Auzias, Thierry Chonavel, François Rousseau

Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

2022

Multiview point cloud registration with anisotropic and space-varying localization noise.

Denis Fortun, Étienne Baudrier, Fabian Zwettler, Markus Sauer, Sylvain Faisan

CoRR, 2022

Joint Disentanglement of Labels and Their Features with VAE.

Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Sébastien Valette

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Geometry-Informed Estimation of Surface Absorption Profiles from Room Impulse Responses.

Stéphane Dilungana, Antoine Deleforge, Cédric Foy, Sylvain Faisan

Proceedings of the 30th European Signal Processing Conference, 2022

2021

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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

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

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2019

Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases.

Hugo Touvron, Sylvain Faisan, Florian Tilquin, Vincent Noblet

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Anomaly Detection in Single Subject vs Group Using Manifold Learning.

Florian Tilquin, Sylvain Faisan, Fabrice Heitz, Vincent Noblet, Frédéric Blanc, Izzie Namer

Proceedings of the IEEE International Conference on Acoustics, 2019

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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

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

Comput. Medical Imaging Graph., 2018

2015

Unsupervised joint decomposition of a spectroscopic signal sequence.

Vincent Mazet, Sylvain Faisan, Slim Awali, Marc-André Gaveau, Lionel Poisson

Signal Process., 2015

2013

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

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

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

Joint Bayesian decomposition of a spectroscopic signal sequence with RJMCMC.

Vincent Mazet, Sylvain Faisan, Antoine Masson, Marc-André Gaveau, Lionel Poisson, Jean-Michel Mestdagh

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

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

Unsupervised joint Bayesian decomposition of a sequence of photoelectron spectra.

Vincent Mazet, Sylvain Faisan, Antoine Masson, Marc-André Gaveau, Lionel Poisson

Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

2008

Topology Preserving Warping of Binary Images: Application to Atlas-Based Skull Segmentation.

Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Christophe Meyer

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

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

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007

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

2006

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

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

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

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

Proceedings of the Medical Imaging 2005: Image Processing, 2005

2003

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

2002

Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis.

Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz

Proceedings of the 2002 International Conference on Image Processing, 2002