I currently work on medical image analysis and machine learning with Bjoern Menze
at the University of Zurich, Benedikt Wiestler and Daniel Rueckert at TUM.
I finished my Ph.D. program in medical image analysis at TUM between 09.2017 and 11.2022, spending wonderful five years in Munich and Zurich. I obtained my master degree in Informatics at Sun Yat-sen University with an eight-month exchange at CVIP group at the University of Dundee, during which I was supervised by Wei-Shi Zheng
and Jianguo Zhang.
From time to time, I look for self-motivated students to explore research ideas and document the outcome. If you are interested in working with me, please send me an email about your background and research statements.
 Domain-adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach, MICCAI'2022 [pdf]
 Imbalance-aware Self-supervised Learning for 3D Radiomic Representations, MICCAI'2021 [pdf]
 3D Deep Learning Enables Accurate Layer Mapping of 2D Materials, ACS Nano (2021) [pdf]
 Automated Claustrum Segmentation in Human Brain MRI Using Deep Learning, Human Brain Mapping (2021) [pdf]
 Deep-Learning Generated Synthetic Double Inversion Recovery Images Improve Multiple Sclerosis Lesion Detection, Investigative Radiology (2020) [pdf]