3 papers
eess.IV2024
Enhancing Cell Instance Segmentation in Scanning Electron Microscopy Images via a Deep Contour Closing Operator
Florian Robert, Alexia Calovoulos, Laurent Facq +4
Accurately segmenting and individualizing cells in SEM images is a highly promising technique for elucidating tissue architecture in oncology. While current AI-based methods are ef…
cs.CV2024
Adaptive local boundary conditions to improve Deformable Image Registration
Eloïse Inacio, Luc Lafitte, Laurent Facq +2
Objective: In medical imaging, it is often crucial to accurately assess and correct movement during image-guided therapy. Deformable image registration (DIR) consists in estimating…
physics.med-ph2020
Deep correction of breathing-related artifacts in real-time MR-thermometry
Baudouin Denis de Senneville, Pierrick Coupé, Mario Ries +2
Real-time MR-imaging has been clinically adapted for monitoring thermal therapies since it can provide on-the-fly temperature maps simultaneously with anatomical information. Howev…