Lausanne, Vaud, Switzerland
Development of Deep Learning models for motion-robust super-resolution fetal MRI. Supervisor: Prof. Meritxell Bach Cuadra Interdisciplinary research project between Medical Image Analysis Laboratory (MIAL), Centre hospitalier Universitaire Vaudois (CHUV) and Siemens Healthieneers.
Deep Learning for Deconvolution Problem in Microscopy. Poster presentation at Latsis Symposium in Smart Microscopy 2024 Supervisors : Dr. Joan Rue Queralt, head of the reconstruction hub of Center For Imaging, and Dr. Thanh-An Pham, R&D engineer.
MRI Analysis to prove an artefact reduction acquisition method. Presented in the International Conference for Magnetic Resonance in Medecine 2024 (ISMRM).
Creation of a digital twin of the arch dam BIMONT with the expertise of Christine Noret. Implemention of a numerical and statistical modelling of Bimont Dam to predict its movement to assist experts for anomalies detection and to do real time monitoring.
Reconstruction of a cell lineage by using a dynamic programming approach.