 | 2012 |
| 9 |  | 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 Graphics 12(2): (2012) |
| 8 |  | Sylvain Faisan:
A new paradigm to compare a subject to a statistical model. Application to the detection of skull abnormalities.
Pattern Recognition Letters 33(10): 1309-1315 (2012) |
| 2011 |
| 7 |  | 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 Transactions on Image Processing 20(8): 2135-2145 (2011) |
| 2008 |
| 6 |  | 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 |
| 5 |  | 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 |
| 4 |  | 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 Analysis 11(1): 1-20 (2007) |
| 2005 |
| 3 |  | 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. Med. Imaging 24(2): 263-276 (2005) |
| 2003 |
| 2 |  | 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 |
| 1 |  | 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 |