Difference between revisions of "PhD"
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Krahenbuhl (talk | contribs) m (Espaces entre les années) |
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| + | '''Positions for 2024 | ||
| + | * [[:Media:2024_Sujet_these_baudrier.pdf|Surfaces en trois dimensions préservant leurs propriétés géométriques et topologiques sous un processus de discrétisation]] | ||
| + | * [[:media:2024_Naegel_Krähenbühl_Centerline.pdf|Skeletonization of tubular objects by discrete normal accumulation]] | ||
| + | * [[:Media:PhD_Meyer_Faisan.pdf|Uncertainty quantification in automatic delineation for radiation therapy]] | ||
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'''Positions for 2023 | '''Positions for 2023 | ||
* [[:Media:PhDCE2023-ARC-EN-1p.pdf|Preoperative planning and intraoperative guidance for controlled articulated ARC needles]] '''FILLED'''. | * [[:Media:PhDCE2023-ARC-EN-1p.pdf|Preoperative planning and intraoperative guidance for controlled articulated ARC needles]] '''FILLED'''. | ||
Latest revision as of 14:28, 25 April 2024
Positions for 2024
- Surfaces en trois dimensions préservant leurs propriétés géométriques et topologiques sous un processus de discrétisation
- Skeletonization of tubular objects by discrete normal accumulation
- Uncertainty quantification in automatic delineation for radiation therapy
Positions for 2023
Positions for 2021
Positions for 2020
- Optimization of trajectories of multiple surgical tools using deep learning for percutaneous surgery and SEEG FILLED.
- Real-time replanning of trajectories for percutaneous surgery in deformable environment FILLED.
- Topological and relational guidance for modelling complex anatomical structures
Positions for 2019
- Optimization of trajectories for the simultaneous placement of multiple surgical tools
- Connected operators, hierarchical representations and deep learning.
- Deep learning for segmentation of FIB/SEM images for the diagnosis of chronic lymphocytic leukemia.
Positions for 2017