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  1. Accueil
  2. Master's subject

Master's subject

Automatic co-registration of intraoperative optical images and MRI volumes for the validation of functional brain identifications in intraoperative neuroimaging

 Simulated database of SPECT images for AI-based partial volume effect correction for Lu-177 PSMA treatment

Improving the robustness of deep-learning models in lung segmentation and registration: generating CT image pairs at different inflation levels with dense lung lesions for data augmentation

Smooth volumetric copy-paste for ARDS CT database augmentation to improve lung segmentation

Advanced analysis and classification of glioblastoma optical spectra using Machine Learning and Deep Learning

A Patient-Specific Digital Twin for Personalized Assessment of Mechanical Ventilation in Patients with ARDS

Deep diffusion models for anomaly detection

Hyperspectral Single-pixel Image Reconstruction using Nonnegative Matrix Factorization and Deep Learning

Recalage par deep learning pour un simulateur en neurochirurgie

Optimization of Compton camera system design for nuclear medicine applications

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Master's subject

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