We’re interested in developing imaging techniques, machine learning algorithms, and combinations of them for diagnosis of human diseases and prediction of clinical outcomes. Below are highlighted current projects under active investigation.

Brain age prediction using feature and image-based machine learning

Angiography using velocity-selective magnetization preparation

Organ localization using deep reinforcement learning

Vessel wall imaging using black-blood magnetization preparation

Body tissue segmentation using deep learning

Cancer detection & classification via deep learning