LKAU-Net: 3D Large-Kernel Attention-Based U-Net for Automatic MRI Brain Tumor Segmentation. - Hao Li 082; Yang Nan 002; Guang Yang 006 (MIUA, 2022)

Human treelike tubular structure segmentation: A comprehensive review and future perspectives. - Hao Li 082; Zeyu Tang 001; Yang Nan 002; Guang Yang 006 (Comput. Biol. Medicine, 2022)

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction. - Chengyan Wang; Jun Lyu; Shuo Wang 011; Chen Qin; Kunyuan Guo; Xinyu Zhang; Xiaotong Yu; Yan Li 064; Fanwen Wang; Jianhua Jin; Zhang Shi; Ziqiang Xu; et al. (CoRR, 2023)

Corrigendum to 'Human treelike tubular structure segmentation: A comprehensive review and future perspectives'[Comput. Biol. Med., Vol.151 (Pt A), 2022, p.106241-106241]. - Hao Li 082; Zeyu Tang 001; Yang Nan 002; Guang Yang 006 (Comput. Biol. Medicine, 2023)

Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation. - Hao Li 082; Yang Nan 002; Javier Del Ser; Guang Yang 006 (Neural Comput. Appl., 2023)

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. - Zi Wang 005; Fanwen Wang; Chen Qin; Jun Lyu; Ouyang Cheng; Shuo Wang 011; Yan Li 064; Mengyao Yu; Haoyu Zhang; Kunyuan Guo; Zhang Shi; Qirong Li; et al. (CoRR, 2024)

Large-Kernel Attention for 3D Medical Image Segmentation. - Hao Li 082; Yang Nan 002; Javier Del Ser; Guang Yang 006 (Cogn. Comput., 2024)

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. - Jun Lyu; Chen Qin; Shuo Wang 011; Fanwen Wang; Yan Li 064; Zi Wang 005; Kunyuan Guo; Ouyang Cheng; Michael Tänzer; Meng Liu; Longyu Sun; Mengting Sun; et al. (Medical Image Anal., 2025)