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  2. Master's subject

Master's subject

Stage M2, PFE ou équivalent (F/M) «Text-Guided 3D MRI Segmentation with the Segment Anything Model»

Optimisation of the GATE track length estimator for prompt γ emission in hadron therapy (p, He, C)

Dosimétrie simplifiée en radiothérapie interne vectorisée au 177Lu-PSMA : prédiction de la réponse au traitement à partir de la dose et d’un modèle de machine learning.

Spherical deep learning models for epileptogenic zone localization

Development of a Language Model for Classification and Analysis of Educational Content in Dentistry

Deep Learning Based on Monte Carlo Simulations for Liver Steatosis Quantification

Optimization of the reconstruction of viscoelastic parameters obtained by a Non-Linear Inversion method on in vitro Magnetic Resonance Elastography data

M2 Internship: Mathematics of Adaptive Acquisitions for Hyperspectral Single-pixel Imaging

Tissue characterization through speckle in ultrasound images with deep learning

Monte Carlo simulation model of innovative SPECT systems

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Master's subject

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