3D convolutional network with edge detection for prostate gland and tumor segmentation on T2WI and ADC. - Chongzhe Yan; Feng Liu; Yunsong Peng; Yuanshen Zhao; Junjie He; Rongpin Wang (Biomed. Signal Process. Control., 2024)

A hybrid classification model with radiomics and CNN for high and low grading of prostate cancer Gleason score on mp-MRI. - Feng Liu; Yuanshen Zhao; Jukun Song; Guilan Tu; Yadong Liu; Yunsong Peng; Jiahui Mao; Chongzhe Yan; Rongpin Wang (Displays, 2024)

Identifying pathological groups from MRI in prostate cancer using graph representation learning. - Feng Liu; Yuanshen Zhao; Chongzhe Yan; Jingxian Duan; Lei Tang; Bo Gao; Rongpin Wang (Displays, 2024)

RPF-Net: A multimodal model for the postoperative UISS risk stratification of non-metastatic ccRCC based on CT and whole-slide images. - Jiahui Mao; Wuchao Li; Xinhuan Sun; Bangkang Fu; Junjie He; Chongzhe Yan; Jianguo Zhu 003; Zhuxue Zhang; Jiahui Mao; Zhangxin Hong; Qi Tang; Zhen Liu; et al. (Comput. Methods Programs Biomed., 2025)

PcPreT-Net: Predicting classification of decline rate in prostate-specific antigen using graph neural network. - Chongzhe Yan; Feng Liu; Ying Cao; Huijuan Tu; Zi Xu; Wuchao Li; Pinhao Li; Zhiyang Xing; Yi Chen; Zhi-Cheng Li; Yuanshen Zhao; Bo Gao; et al. (Displays, 2025)