About me
I am a postdoctoral researcher working on machine learning for medical imaging at the Martinos Center, hosted by Matthew Rosen and Juan Eugenio Iglesias. I mainly focus on machine learning algorithms for long-term impact fields such as healthcare.
Prior to being in Boston, I completed my Ph.D. (Summa Cum Laude) from the Department of Computer Science at the Technical University of Munich, supervised by Bjoern Menze. During my doctoral studies, I spent time in Daniel Rueckert's lab at TUM, at Department of Quantitative Biomedicine, and András Jakab's group at UZH.
In the Master's program, I learned a lot about computer vision from Wei-Shi Zheng and Jianguo Zhang. I also had the fortune to spend eight wonderful months in University of Dundee, during which we participated in and won the WMH segmentation challenge at MICCAI 2017. For my Bachelor's thesis, I worked with Wing-Kuen Ling on optimization methods for retinal image analysis.
News
- Career update: I will join NUS Medicine (jointly with ECE) as a tenure-track AP in Diagnostic Radiology from Sept. 2025!
If you wish to join my group, pls write me an email. - I am serving as area chair at MICCAI 2025!
- We are organizing three MICCAI challenges on image segmentation and synthesis! Check: FeTA , EPVS , and BraSyn
- One preprint on unnormalized von Miser-Fisher distribution, enabling efficient UQ at high dimensions.
- I am one of the outstanding reviewers (top 2%) for CVPR 2024 and MIDL 2024!
Research
A full list of my publications and preprints is here. My research interests can be categorized into:(1) Algorithmic interests: Physics-informed and statistical machine learning
(2) Clinical interests: (i) Advanced diagnostic imaging, including ultra-low-field MRI and PET imaging. (ii) Cancer imaging
Overview of my core research directions in medical image analysis.
Contact
Email: holi2 at mgh.harvard.edu or bran.hongwei.li at gmail.com