About me
I am a PhD Student in the Prof. Schüffler’s Lab, focus on the pathology image analysis using deep learning methodes.
Previously, I completed my M.Sc. degree in Mechatronik und Robotiks at Technical University of Munich, where I was a student researcher at Visual Computing & AI lab and Computer Aided Medical Procedures & Augmented Reality(CAMP) at TUM working on indoor 3D scene synthesis and medical image analysis separately. I was also a teaching assistant of the course Introduction to Deep Learning (IN2346).
Besides, I used to co-found and work at Dishi Medical Robots company, which aims to develop China’s first retinal surgery robots. I had a wonderful time with the great team there.
My research interests broadly lie in the field of Deep Learning, Medical Images and Robotics.
In my free time, I enjoy going to the gym and playing football on our own-founded football club with friends.
Publications
(* denotes equal contribution and † denotes shared last authorship.)
MoMBS: Mixed-order sampling improves training on diverse-quality data for universal lesion detection
Han Li, Jingsong Liu, Peter J. Schüffler, Hu Han, S. Kevin Zhou†
Submission to MIA / Paper [TBD]
From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC
Jingsong Liu, Xiaofeng Deng, Han Li, Azar Kazemi, Christian Grashei, Gesa Wilkens, Xin You, Tanja Groll, Nassir Navab, Carolin Mogler, Peter J. Schüffler†
Computers in Biology and Medicine / Paper
Attention Pooling Enhances NCA-based Classification of Microscopy Images
Chen Yang, Michael Deutges, Jingsong Liu, Han Li, Nassir Navab, Carsten Marr, Ario Sadafi
MICCAI (2025) Workshop / Paper
HASD: Hierarchical Adaption for pathology Slide-level Domain-shift
Jingsong Liu*, Han Li*, Chen Yang, Michael Deutges, Ario Sadafi, Xin You, Katharina Breininger, Nassir Navab, Peter J. Schüffler†
MICCAI(2025) / Paper / Code
Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays
Yiheng Xiong*, Jingsong Liu*, Kamilia Zaripova*, Sahand Sharifzadeh, Matthias Keicher†, Nassir Navab†
MICCAI (2023) Workshop / Paper / Code
Theoretical error analysis of spotlight-based instrument localization for retinal surgery
Mingchuan Zhou, Felix Hennerkes, Jingsong Liu, Zhongliang Jiang, Thomas Wendler, M Ali Nasseri, Iulian Iordachita, Nassir Navab
Robotica, Paper
Teaching
Seminar: CuToMeMaLeCoPa (Current Topics in Medical Machine Learning and Computational Pathology, IN1709)
SS2024/WS2024/SS2025, Teaching Assistant
Lecture: I2DL (Introduction to Deep Learning, IN2346)
SS2021, Teaching Assistant
Talk
TUM-SJTU program
2025, Shanghai, China
ECDP (European Congress on Digital Pathology)
2024, Vilnius, Lithuania
Saturn3 (Spatial and Temporal Resolution of Intratumoral Heterogeneity in 3 hard-to-treat Cancers)
2025, Nesselwang, Germany
News
12/25: I am invited to give a talk in AI Pathology at SJTU (Shanghai, China).
06/25: Our paper “HASD: Hierarchical Adaption for pathology Slide-level Domain-shift” accepted to MICCAI 2025 (Daejeon, 🇰🇷)!