Sylvain Faisan
Orcid: 0000-0003-3763-9425
According to our database1,
Sylvain Faisan
authored at least 30 papers
between 2002 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
2005
2010
2015
2020
2025
0
1
2
3
4
5
6
1
3
1
1
1
1
2
1
1
1
2
2
1
4
1
1
2
1
1
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Multiview Point Cloud Registration with Anisotropic and Spatially Varying Localization Noise.
SIAM J. Imaging Sci., 2025
2023
Disentangled representations: towards interpretation of sex determination from hip bone.
Vis. Comput., December, 2023
Disentangling high-level factors and their features with conditional vector quantized VAEs.
Pattern Recognit. Lett., August, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the Twelfth International Conference on Image Processing Theory, 2023
2022
Multiview point cloud registration with anisotropic and space-varying localization noise.
CoRR, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Geometry-Informed Estimation of Surface Absorption Profiles from Room Impulse Responses.
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Stacked Pointnets For Alignment Of Particles With Cylindrical Symmetry In Single Molecule Localization Microscopy.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2019
Multilabel, Multiscale Topological Transformation for Cerebral MRI Segmentation Post-processing.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
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.
Comput. Medical Imaging Graph., 2018
2015
Signal Process., 2015
2013
Approche bayésienne pour la décomposition conjointe d'une séquence de spectres de photo-électrons.
Traitement du Signal, 2013
2012
A new paradigm to compare a subject to a statistical model. Application to the detection of skull abnormalities.
Pattern Recognit. Lett., 2012
Binary Image Registration Based on Geometric Moments: Application to the Registraion of 3D Segmented CT Head Images.
Int. J. Image Graph., 2012
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.
IEEE Trans. Image Process., 2011
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
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.
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.
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.
IEEE Trans. Medical Imaging, 2005
Unsupervised spatio-temporal detection of brain functional activation based on hidden Markov multiple event sequence models.
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.
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.
Proceedings of the 2002 International Conference on Image Processing, 2002