3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation. - Yi-Jie Huang; Qi Dou 001; Zi-Xian Wang; Li-Zhi Liu; Ying Jin; Chao-Feng Li; Lisheng Wang; Hao Chen 011; Rui-Hua Xu (CoRR, 2018)

A deep survival analysis method based on ranking. - Bing-Zhong Jing; Tao Zhang 060; Zixian Wang; Ying Jin; Kuiyuan Liu; Wenze Qiu; Liangru Ke; Ying Sun; Caisheng He; Dan Hou; Linquan Tang; Xing Lv; et al. (Artif. Intell. Medicine, 2019)

Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs. - Bing-Zhong Jing; Yishu Deng; Tao Zhang 060; Dan Hou; Bin Li; Mengyun Qiang; Kuiyuan Liu; Liangru Ke; Taihe Li; Ying Sun; Xing Lv; Chao-Feng Li (Comput. Methods Programs Biomed., 2020)

3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation. - Yi-Jie Huang; Qi Dou 001; Zi-Xian Wang; Li-Zhi Liu; Ying Jin; Chao-Feng Li; Lisheng Wang; Hao Chen 011; Rui-Hua Xu (IEEE Trans. Cybern., 2021)