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ORCIDSylvain Faisan
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2020 – today
- 2023
[j10]Kaifeng Zou
, Sylvain Faisan, Fabrice Heitz, Sébastien Valette:
Disentangling high-level factors and their features with conditional vector quantized VAEs. Pattern Recognit. Lett. 172: 172-180 (2023)- [j9]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): 6673-6687 (2023) - [c17]Chloé Mercier, Sylvain Faisan, Alexandre Pron, Nadine Girard, Guillaume Auzias, Thierry Chonavel, François Rousseau:
Retrospective motion estimation for fetal brain MRI. IPTA 2023: 1-6 - [c16]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: 1-5 - [i3]Kaifeng Zou, Sylvain Faisan, Boyang Yu, Sébastien Valette, Hyewon Seo:
4D Facial Expression Diffusion Model. CoRR abs/2303.16611 (2023) - 2022
- [c15]Stéphane Dilungana, Antoine Deleforge, Cédric Foy, Sylvain Faisan:
Geometry-Informed Estimation of Surface Absorption Profiles from Room Impulse Responses. EUSIPCO 2022: 867-871 - [c14]Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Sébastien Valette:
Joint Disentanglement of Labels and Their Features with VAE. ICIP 2022: 1341-1345 - [i2]Denis Fortun, Étienne Baudrier, Fabian Zwettler, Markus Sauer, Sylvain Faisan:
Multiview point cloud registration with anisotropic and space-varying localization noise. CoRR abs/2201.00708 (2022) - 2021
- [c13]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: 858-862 - [i1]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 abs/2112.09414 (2021)
2010 – 2019
- 2019
- [c12]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: 6553-6556 - [c11]Florian Tilquin, Sylvain Faisan, Fabrice Heitz, Vincent Noblet, Frédéric Blanc, Izzie Namer:
Anomaly Detection in Single Subject vs Group Using Manifold Learning. ICASSP 2019: 2867-2871 - [c10]Hugo Touvron, Sylvain Faisan, Florian Tilquin, Vincent Noblet:
Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases. ISBI 2019: 806-809 - [c9]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: 471-482 - 2018
- [j8]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: 73-82 (2018) - 2015
- [j7]Vincent Mazet, Sylvain Faisan, Slim Awali, Marc-André Gaveau, Lionel Poisson:
Unsupervised joint decomposition of a spectroscopic signal sequence. Signal Process. 109: 193-205 (2015) - 2013
- [j6]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): 9-34 (2013) - 2012
- [j5]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) - [j4]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): 1309-1315 (2012) - [c8]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: 253-256 - 2011
- [j3]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): 2135-2145 (2011) - [c7]Vincent Mazet, Sylvain Faisan, Antoine Masson, Marc-André Gaveau, Lionel Poisson:
Unsupervised joint Bayesian decomposition of a sequence of photoelectron spectra. WHISPERS 2011: 1-4
2000 – 2009
- 2008
- [c6]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: 81-84 - [c5]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: 211-218 - 2007
- [j2]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): 1-20 (2007) - 2006
- [c4]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: 1097-1100 - 2005
- [j1]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): 263-276 (2005) - [c3]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 - 2003
- [c2]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: 75-82 - 2002
- [c1]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: 880-883
Coauthor Index
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