M2/M1- Spring or Fall 26 : AI-based predictive model of consciousness in patients with acute brain injury based on multimodality imaging and clinical data.
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
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