EVENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI. - Chenjun Li; Dian Yang; Shun Yao; Shuyue Wang; Ye Wu 001; Le Zhang 001; Qiannuo Li; Kang Ik Kevin Cho; Johanna Seitz-Holland; Lipeng Ning; Jon Haitz Legarreta; Yogesh Rathi; et al. (CoRR, 2024)

DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI. - Chenjun Li; Dian Yang; Shun Yao; Shuyue Wang; Ye Wu 001; Le Zhang 001; Qiannuo Li; Kang Ik Kevin Cho; Johanna Seitz-Holland; Lipeng Ning; Jon Haitz Legarreta; Yogesh Rathi; et al. (Comput. Medical Imaging Graph., 2025)

Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis. - Chenjun Li; Laurin Lux; Alexander H. Berger; Martin J. Menten; Mert R. Sabuncu; Johannes C. Paetzold (CoRR, 2025)

The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report. - Bin Ren; Hang Guo; Lei Sun 016; Zongwei Wu; Radu Timofte; Yawei Li 001; Yao Zhang; Xinning Chai; Zhengxue Cheng; Yingsheng Qin; Yucai Yang; Li Song; et al. (CoRR, 2025)

VisioPath: Vision-Language Enhanced Model Predictive Control for Safe Autonomous Navigation in Mixed Traffic. - Shanting Wang; Panagiotis Typaldos; Chenjun Li; Andreas A. Malikopoulos (CoRR, 2025)