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Sequential and Active Learning for Advancing MRI Acquisition and Anomaly Detection in Brain Images

4th Edition of the French Symposium on Artificial Intelligence in Biomedical Imaging - IABM'26

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

Post doctoral position in image guided neurosurgery - EIC Pathfinder HyperProbe

Post doctoral position in fluorescence guided cancer surgery

Dynamic FES-PET/CT Imaging for Improved Breast Cancer Diagnostics and Prognostic Modeling

Model-based image reconstruction dedicated to Phase Contrast MRI for improved velocity quantification from highly under-sampled acquisitions

Multi-chamber segmentation and tracking in 2D echocardiography with deep learning.

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