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  1. Accueil
  2. Master's subject

Master's subject

MRF Simulation for Quantitative MRI of Iron-Oxide Nanoparticle Contrast Agents

Stage de master: Investigation of lumped parameter models associated with MRI for the study of ischemia-reperfusion impact.

Master Internship: Continuous wave ultrasound imaging for motion tracking

M2/M1 internship : AI-based predictive model of consciousness in patients with acute brain injury based on multimodality imaging and clinical data.

Master 2 internship: Continual learning for adaptive deep learning models in medical signal and image: application to emboli monitoring

M2 Internship : Segmentation and Registration of Cerebral Vascular Networks for Whole-Brain Flow Simulation using PINNs

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

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Master's subject

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