Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Mr. Hongwei Li (Bran)


My English name is Bran. I am a Ph.D. candidate in Techinical University of Munich (TUM) supervised by Prof. Bjoern Menze started from Sep. 2017. My research interests focus on machine learning and medical image analysis. Before I was a visiting research student in School of Computing in University of Dundee for 6 months as a part of my master program in Sun Yat-sen University supervised by Prof. Jianguo Zhang and Wei-Shi Zheng.
For more details, please have a look at my Curriculum Vitae, Google scholar and GitHub.

Current research projects for my Ph.D. program include:

1. Automated algorithms for classification of pancreas cysts using multi-modal computed tomography (CT);
2. Automatic segmentation of white matter hyperintensities (WMH) and multiple sclerosis (MS) lesions in MR images;
3. Brain age regression using MR fingerprinting and machine learning. This is a project in colaboration with INFN Pisa
4. Gene-radiomics study on 4D perfusion MR images.
(in colaboration with University College London and University of Dundee).

Available Projects for Master students and Undergraduates

I enjoy working with students who are interested in machine learning and medical image analysis. Please feel free to contact me and Prof. Bjoern Menze if you want to do research on relevant topics, especially:

1. Weakly-supervised learning / one-shot learning in medical image analysis.
2. Deep learning's application on segmentation of lesion in MR images and lesion subtype classification using CT images.


WINNER (Team Name:sysu_media) of WMH Segmentation Challenge in MICCAI 2017! Detailed description of our method is submitted to NeuroImage Journal and now accepted!

Selected Publications

1. Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images, NeuroImage (08/2018)
2. Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation, MICCAI Brain Lesion Workshop (08/2018)
3. HEp-2 specimen classification via deep CNNs and pattern histogram, International Conference on Pattern Recognition (ICPR 2016)
4. HEp-2 cells staining patterns classification via wavelet scattering network and random forest, Asian Conference on Pattern Recognition (ACPR 2015)

Other Interests

Amateur indoor volleyball player, now playing for VfR Garching Men's volleyball team (national league games); Beach volleyball

updated on 27/08/2018

Edit | Attach | Refresh | Diffs | More | Revision r1.44 - 11 Oct 2018 - 13:10 - HongweiLi

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif