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Olivier Teboul

Showing results (1-10 of 7) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
3D knowledge-based segmentation using pose-invariant higher-order graphsChaohui Wang, Olivier Teboul, Fabrice Michel, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 18, 2013
Parsing facades with shape grammars and reinforcement learningOlivier Teboul, Iasonas Kokkinos, Loic Simon, et al.
Nature Methods|December 15, 2022
Deep embedding and alignment of protein sequencesFelipe Llinares-López, Quentin Berthet, Mathieu Blondel, et al.
Frontiers in Oncology|March 9, 2026
Self-learning GAN based synthetic CT generation: unlocking CBCT-based adaptive radiotherapyJessica Prunaretty, Lorenzo Colombo, Sami Romdhani, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
Fully automated and adaptive detection of amyloid plaques in stained brain sections of Alzheimer transgenic miceAbdelmonem Feki, Olivier Teboul, Albertine Dubois, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
A standardized method to automatically segment amyloid plaques in Congo Red stained sections from Alzheimer transgenic miceOlivier Teboul, Abdelmonem Feki, Albertine Dubois, et al.
Medical Image Analysis|June 12, 2025
Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosisQuentin Spinat, Benoit Audelan, Xiaotong Jiang, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
3D knowledge-based segmentation using pose-invariant higher-order graphsChaohui Wang, Olivier Teboul, Fabrice Michel, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 18, 2013
Parsing facades with shape grammars and reinforcement learningOlivier Teboul, Iasonas Kokkinos, Loic Simon, et al.
Nature Methods|December 15, 2022
Deep embedding and alignment of protein sequencesFelipe Llinares-López, Quentin Berthet, Mathieu Blondel, et al.
Frontiers in Oncology|March 9, 2026
Self-learning GAN based synthetic CT generation: unlocking CBCT-based adaptive radiotherapyJessica Prunaretty, Lorenzo Colombo, Sami Romdhani, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
Fully automated and adaptive detection of amyloid plaques in stained brain sections of Alzheimer transgenic miceAbdelmonem Feki, Olivier Teboul, Albertine Dubois, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
A standardized method to automatically segment amyloid plaques in Congo Red stained sections from Alzheimer transgenic miceOlivier Teboul, Abdelmonem Feki, Albertine Dubois, et al.
Medical Image Analysis|June 12, 2025
Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosisQuentin Spinat, Benoit Audelan, Xiaotong Jiang, et al.
Pageof 1