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Master students projects
Automatic quality control for metabolic imaging using advanced machine learning approaches
Optimization of quantitative FDG-PET acquisition protocols
Noise-reduction techniques for Magnetic Resonance Spectroscopic Imaging
MRS4Brain Toolbox: an harmonized and accessible workflow for preclinical MRSI data processing
Multimodal connectivity mapping: Combining structural and metabolic connectomics to understand neurodegenerative pathologies
PhD and Post-doctoral projects
Closed projects
PhD and PostDoc positions in "Shedding light on the invisible: mapping brain microstructure using diffusion magnetic resonance spectroscopic imaging"
PostDoc position in "Development of quantitative multimodal PET-MRI at ultrahigh field and innovative application to follow-up of self-expand biomaterial expansion and tissue colonisation"
PostDoc position in "Developments of innovative fast acquisition and metabolic modelling strategies for clinical and preclinical deuterium MR imaging in the brain at ultra-high field"
