Continuity of my PhD project.Focus on: Development of fast MR simulation tools applied to MR Fingerprinting for quantitative perfusion neuroimaging—use of deep learning networks combined with physic priors.

PhD student at Grenoble Institut Neurosciences.Functional Neuroimaging and Brain Perfusion team.Working on new Artificial Intelligence powered solutions for the improvement of Fingerprinting MRI.More specifically, my researches focus on MRI Fingerprinting for simultaneous quantitative measurements of vascular oxygenation and perfusion parameters, to improve the clinical management of stroke patients.https://neurosciences.univ-grenoble-alpes.fr/fr/annuaire/m-thomas-coudert-872882.kjsp?RH=NEUROFR_RECHEQUI

Developing IA tools for automatic segmentation of radiation-induced brain lesions in glioblastoma patients from a limited number of annotated MRIs. Use of transfer learning method to tackle the lack of clinical segmented data. Working side by side with Grenoble Institute Neurosciences and the start-up Pixyl in the context of the RADIO-AIDE ANR project (RADIation-induced neurOtoxicity assessed by spatio-temporal modelling combined with Artificial Intelligence after brain raDiothErapy) (2022-2026). This internship was done under the supervision of Grenoble 3IA : MIAI. It has resulted in the submission of an abstract for diverse conferences.

Training a convolutional neural network (CNN) and a graph neural network (GNN) to predict the game of life of J. H. Conway and comparison of their performance. Analysis of the prediction capabilities of the network. Bibliographic research, python coding (tenserflow, scikitlearn, tkinter....).

Student ambassador for Emblem Grenoble: Grenoble's discount card for students under 26. Card sales within Grenoble-INP, network management, communications...

MC-Set cassette assembly at the head of a production line.