Master 2 internship: Continual learning for adaptive deep learning models in medical signal and image: application to emboli monitoring
M2 Internship : Segmentation and Registration of Cerebral Vascular Networks for Whole-Brain Flow Simulation using PINNs
Detection and correction of rigid patient motion in SPECT with exponential data consistency conditions
Model-based image reconstruction dedicated to Phase Contrast MRI for improved velocity quantification from highly under-sampled acquisitions
Anatomical priors for multi-organ segmentation of 3D medical images using Segment Anything Model (SAM) foundation models: applications to abdominal and dental segmentation
French
English