Interdisciplinarity is what drives modern research…

(Note: this page is currently under development and will be filled with more details. In the meantime, see also reuter.mit.edu and our publications )

The lab is committed to publishing our code ( Deep-MI Github ) and posting manuscripts on preprint servers.

Research Directions

The research focus the DeepMI lab is on the development of a novel deep-learning (CNNs) and machine-learning methods for the automated analysis of medical images, such as human brain MRI. In addition to medical image computing and computational neuroimaging, our research intersets include computational geometry and topology, computer and biomedical vision, computer-aided design, geometric modeling and computer graphics.

In close collaboration with clinical and industrial partners, we develop the next-generation computational techniques for the analysis of large biomedical image datasets, including:

Project Examples