activeFunded · 2026 · MISTAI
MISTAI: Medical Intelligence & Skills Training in AI
Bilateral UKB–Dnipro State Medical University project, funded by the NRW Ministry of Culture and Science, building an AI pipeline and training programme in …

Researchers & PhD Students
PhD Candidate
PhD thesis: Towards a Robust and Generalizable Multimodal AI Framework for Medical Multimodal Understanding, University of Bonn · all supervised theses
Universitätsklinikum Bonn, Klinik für Diagnostische und Interventionelle Radiologie · University of Bonn, Germany
Jiajun Zeng is a PhD candidate at the University of Bonn, supervised by Prof. Shadi Albarqouni. He holds an MSc in Biomedical Engineering from Shenzhen University. During his master’s studies, he focused on AI for ultrasound image computing under the supervision of Assoc. Prof. Ruobing Huang and Prof. Dong Ni. His research interests span AI for healthcare, particularly in enhancing radiologists’ workflows through anatomical structure segmentation, disease diagnosis, and treatment support — with a focus on scenarios involving limited annotations and scarce computational resources. Currently, he is exploring efficient vision-language models and multimodal large language models for applications in the healthcare domain.
activeFunded · 2026 · MISTAI
Bilateral UKB–Dnipro State Medical University project, funded by the NRW Ministry of Culture and Science, building an AI pipeline and training programme in …
activeResearch collaboration · 2024 – ongoing
This project addresses fairness and generalization challenges of foundation models for breast mammography, where AI systems trained predominantly on data from …
Journal of the American College of Radiology, 2026
Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, Lecture Notes in Computer Science, 2026
Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, Lecture Notes in Computer Science, 2026