Does DINOv3 Set a New Medical Vision Standard?
Che Liu, Yinda Chen, Haoyuan Shi, Jinpeng Lu, Bailiang Jian, Jiazhen Pan, Linghan Cai, Jiayi Wang, Yundi Zhang, Jun Li, Cosmin I. Bercea, Cheng Ouyang, Chen Chen, Zhiwei Xiong, Benedikt Wiestler, Christian Wachinger, Daniel Rueckert, Wenjia Bai, Rossella Arcucci
[paper]

Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding
Accepted by WACV 2026 (Early Accept, Top 6.4%).
Jun Li, Che Liu, Wenjia Bai, Mingxuan Liu, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel
[paper] [homepage]

NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI
Cosmin I. Bercea, Jun Li, Philipp Raffler, Evamaria O. Riedel, Lena Schmitzer, Angela Kurz, Felix Bitzer, Paula Roßmüller, Julian Canisius, Mirjam L. Beyrle, Che Liu, Wenjia Bai, Bernhard Kainz, Julia A. Schnabel, Benedikt Wiestler.
[paper] [huggingface]

Enhancing Abnormality Grounding for Vision-Language Models with Knowledge Descriptions
Jun Li, Che Liu, Wenjia Bai, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel.
[paper] [project] [huggingface]

Organizing Unstructured Image Collections using Natural Language
Mingxuan Liu, Zhun Zhong, Jun Li, Gianni Franchi, Subhankar Roy, Elisa Ricci.
[paper]

Fmbench: Benchmarking fairness in multimodal large language models on medical tasks
Peiran Wu, Che Liu, Canyu Chen, Jun Li, Cosmin I Bercea, Rossella Arcucci.
[paper]

Language Models Meet Anomaly Detection for Better Interpretability and Generalizability
Accepted by MMMI 2024.
Jun Li, Su Hwan Kim, Philip Mller, Lina Felsner, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea.
[paper] [project]

Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training
Accepted by MICCAI 2024.
Tongkun Su*, Jun Li*, Xi Zhang, Haibo Jin, Hao Chen, Qiong Wang, Faqin Lv, Baoliang Zhao, Yin Hu
[paper] [Code]

Ultrasound Report Generation with Cross-Modality Feature Alignment via Unsupervised Guidance
IEEE Transactions on Medical Imaging (IF:10.6).
Jun Li, Tongkun Su, Baoliang Zhao, Faqin Lv, Qiong Wang, Nassir Navab, Ying Hu, Zhongliang Jiang.
[paper] [project]

A Self-guided Framework for Radiology Report Generation
Accepted by MICCAI 2022. (Early Accept)
(Student Travel Award, Top 5%)
Jun Li, Shibo Li, Ying Hu, Huiren Tao.
[paper] [project]

XctNet: Reconstruction network of volumetric images from a single X-ray image
Computerized Medical Imaging and Graphics (CMIG), 2022.
Zhiqiang Tan, Jun Li, Huiren Tao, Shibo Li, Ying Hu .
[paper]