A medical assistant segmentation method for MRI images of osteosarcoma based on DecoupleSegNet. - Jia Wu 002; Yuxuan Guo; Fangfang Gou; Zhehao Dai (Int. J. Intell. Syst., 2022)

Intelligent Assistant Diagnosis System of Osteosarcoma MRI Image Based on Transformer and Convolution in Developing Countries. - Ziqiang Ling; Shun Yang; Fangfang Gou; Zhehao Dai; Jia Wu 002 (IEEE J. Biomed. Health Informatics, 2022)

An Artificial Intelligence Multiprocessing Scheme for the Diagnosis of Osteosarcoma MRI Images. - Jia Wu 002; Pei Xiao 005; Haojie Huang; Fangfang Gou; Zhixun Zhou; Zhehao Dai (IEEE J. Biomed. Health Informatics, 2022)

Self-supervised tumor segmentation and prognosis prediction in osteosarcoma using multiparametric MRI and clinical characteristics. - Zhixun Zhou; Peng Xie; Zhehao Dai; Jia Wu 002 (Comput. Methods Programs Biomed., 2024)

Asynchronous Federated Deep-Reinforcement-Learning-Based Dependency Task Offloading for UAV-Assisted Vehicular Networks. - Si Shen; Guojiang Shen; Zhehao Dai; Kaiyu Zhang; Xiangjie Kong 001; Jianxin Li 001 (IEEE Internet Things J., 2024)

Evaluating the Effectiveness of advanced large language models in medical Knowledge: A Comparative study using Japanese national medical examination. - Mingxin Liu; Tsuyoshi Okuhara; Zhehao Dai; Wenbo Huang; Lin Gu 003; Hiroko Okada; Emi Furukawa; Takahiro Kiuchi (Int. J. Medical Informatics, 2025)

Towards heterogeneous federated graph learning via structural entropy and prototype aggregation. - Zhehao Dai; Guojiang Shen; Haopeng Yuan; Shangfei Zheng; Yuyue Hu; Jiaxin Du; Xiangjie Kong 001; Feng Xia 001 (Inf. Sci., 2025)