Deep learning approaches for MRI-based labelling of neuroanatomical structures following epilepsy surgery

The aim of this project is to train a deep learning model to label resected brain regions and other related neuroanatomical structures using a large dataset (n = 697) of postsurgical MRI scans. This project would be well suited to students with an interest in data science and artificial intelligence techniques.