Difference between revisions of "PhD"
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Krahenbuhl (talk | contribs) (Ajout des sujets de thèse 2024 sur la page en anglais) |
Krahenbuhl (talk | contribs) m (Correction des liens des sujets 2024) |
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'''Positions for 2024 | '''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]] |
'''Positions for 2023 | '''Positions for 2023 | ||
Revision as of 14:26, 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