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Jun Li

​Ph.D. Student
Technical University of Munich, Helmholtz Center Munich
Email: june.li [at] tum.de

google scholar gitjub

Short Bio

​I am currently a first year Ph.D. student in the School of Computation, Information and Technology Technical University of Munich also in Helmholtz Center Munich , supervised by Prof. Julia Schnabel. Previously, I received the M. Eng. degree from University of the Chinese Academy of Sciences in 2023, under the supervison from Prof. Ying Hu.

I am a dedicated researcher focused on the intersection of deep learning and healthcare, particularly in the analysis of medical images. My passion lies in improving the practicality of deep learning algorithms, with a primary focus on Vision and Language models, Cross-Modality Generation, and Multi-Modality Learning. Through my work in these areas, I aim to advance deep learning techniques and their transformative impact on healthcare.

Publications

clean-usnob

A Self-guided Framework for Radiology Report Generation.
Jun Li, Shibo Li, Ying Hu, Huiren Tao.
Medical Image Computing and Computer Assisted Interventions 2022, (MICCAI), 2022. (Student Travel Award, Top 5%)
[paper]

clean-usnob

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

[paper]