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  1. Accueil
  2. Master's subject

Master's subject

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

Internship for Engineers/Master's Students: Training a DeepSDF Model on Optical Impressions to Evaluate Dental Wear

Stage M2/PFE: Scalable unsupervised subtle anomaly detection from longitudinal medical imaging data: Applications to brain and cardiac imaging

PFE/Master : Using transformers to detect epileptic spikes from brain activity recordings with MEG

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Master's subject

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