Theses Defended – I3M : imagerie et IA pour les innovations médicales de demain

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05 february 2021

Theses Defended

Paul Dequidt : Analysis of multiparametric NMR data for neuronavigation and diagnostic support
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Theses Defended

Benoit Gianelli : Realistic modeling and statistical analysis of multiparametric NMR metabolic profiles in patients with cognitive decline
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Theses Defended

Rodolphe Vallée : Automatic classification and segmentation for medical imaging using reinforcement learning
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22 september 2025

Theses Defended

Landoline Bonnin : Artificial Intelligence for Enhanced, Non-Invasive Medical Imaging
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15 may 2025

Theses Defended

Charles Lepaire : Topological analysis-based feature extraction using G-feature maps for supervised learning systems applied to the cerebral vascular tree
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12 november 2024

Theses Defended

Hayssam Abd Alaziz Obeid : Multimodal anatomical and metabolic visualization of MRI data and tumor front propagation simulations
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01 march 2024

Theses Defended

Matthieu Coupet : Interactive deep learning for the diagnosis and prognosis of ischemic stroke
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06 december 2023

Theses Defended

Anouar Kherchouche : Virtual biopsy to aid in the early diagnosis and prediction of Alzheimer’s disease
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01 december 2024

Theses Defended

Adrien Raison : Automatic biomarker extraction using Explainable AI: intelligent analysis and interpretation
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22 november 2023

Theses Defended

Sylvain Gerbaud : 3D tissue reconstructions based on underlying metabolism explored using multi-nuclear magnetic resonance spectroscopy