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.)
Attention Pooling Enhances NCA-based Classification of Microscopy Images
Submission
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 Workshop on GRaphs in biomedicAl Image anaLysis (GRAIL), 2023
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
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
06/25: Our paper “HASD: Hierarchical Adaption for pathology Slide-level Domain-shift” accepted to MICCAI 2025 (Daejeon, 🇰🇷)!