I am dedicated to the interdisciplinary research between medicine and artificial intelligence. In particular, my research focuses on deep medical image computing where I design novel deep learning based approaches that are tailored for medical imaging or medical image analysis problems. During my Ph.D. study, I strive to extend the state-of-the-art research with deep medical image computing for a broad range of topics in medicine, including metal artifact reduction, sparse-view artifact reduction, 2D/3D image registration for intervention, cardiac ultrasound image segmentation, vertebrae identification and localization and skin disease characterization.