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  1. Accueil
  2. Master's subject

Master's subject

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

Automated measurement of marginal bone level (MBL) around dental implants

Self-supervised deep learning representation learning for 3D brain MRI analysis

Deep learning segmentation of dental radiographs for pulp pulp effraction predictionaction pulpaire

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Master's subject

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