Artificial intelligence methods applied to cardiovascular MRI segmentation.
Principal Investigator: Mr Youssef Skandarani
Approved Research ID: 44929
Approval date: July 3rd 2019
We aim to help physician to achieve more accurate, reliable and rapid diagnosis of the different conditions that may affect a patient, through the analysis of the magnetic resonance images with methods based on machine learning techniques.It would assist the cardiologists in the interpretation of the acquired images and, since they nowadays spend a lot of their time performing image post-processing, enable them to save time for other tasks (particularly meet the patients). The management and the follow-up of the patients will be more streamlined by considering objective biomarkers automatically obtained from validated methods.