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  1. Accueil
  2. Master's subject

Master's subject

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

Anatomical priors for multi-organ segmentation of 3D medical images using Segment Anything Model (SAM) foundation models: applications to abdominal and dental segmentation

Master internship: Self-supervised Learning for SPECT reconstruction

Prototype-based unsupervised anomaly detection for pathology detection on 3D brain MRI

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

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Master's subject

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