A Stereo Visual Interface for Manipulating the Grasping Operation of a Fruit-Harvesting Robot. - Baixin Liu; Liang Gong; Qianli Chen; Yuanshen Zhao; Chengliang Liu 001 (ICIRA (2), 2014)

Spatial-Temporal Database Based Asynchronous Operation Approach of Fruit-Harvesting Robots. - Bin Zhou; Liang Gong; Qianli Chen; Yuanshen Zhao; Xiao Ling; Chengliang Liu 001 (ICIRA (3), 2015)

A review of key techniques of vision-based control for harvesting robot. - Yuanshen Zhao; Liang Gong; Yixiang Huang; Chengliang Liu 001 (Comput. Electron. Agric., 2016)

Robust Tomato Recognition for Robotic Harvesting Using Feature Images Fusion. - Yuanshen Zhao; Liang Gong; Yixiang Huang; Chengliang Liu 001 (Sensors, 2016)

Dual-arm cooperation and implementing for robotic harvesting tomato using binocular vision. - Xiao Ling; Yuanshen Zhao; Liang Gong; Chengliang Liu 001; Tao Wang (Robotics Auton. Syst., 2019)

Deep learning MRI signature to predict survival and treatment benefit from temozolomide in IDH-wildtype glioblastoma. - Huixia You; Yuanshen Zhao; Qiuchang Sun; Wenxia Wu; Xiaofei Lv; Yinsheng Chen; Huailing Zhang; Zhi-Cheng Li 001 (Displays, 2023)

Multi-task learning for concurrent survival prediction and semi-supervised segmentation of gliomas in brain MRI. - Wenxia Wu; Jing Yan; Yuanshen Zhao; Qiuchang Sun; Huailing Zhang; Jingliang Cheng; Dong Liang 001; Yinsheng Chen; Zhenyu Zhang; Zhicheng Li 001 (Displays, 2023)

Riskformer: Survival prediction from MR imaging in patients with IDH-wildtype glioblastoma. - Huixia You; Jiankai Zhang; Yuanshen Zhao; Tong Mo; Diangang Fang; Xiaofei Lv; Zhicheng Li 001; Haifeng Wang 003; Dong Liang 001; Hongwu Zeng; Yinsheng Chen (Displays, 2023)

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)

Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis. - Zeyu Zhang; Yuanshen Zhao; Jingxian Duan; Yaou Liu; Hairong Zheng; Dong Liang 001; Zhenyu Zhang; Zhi-Cheng Li 001 (CoRR, 2024)

MRI and RNA-seq fusion for prediction of pathological response to neoadjuvant chemotherapy in breast cancer. - Hui Li; Yuanshen Zhao; Jingxian Duan; Jia Gu; Zaiyi Liu; Huailing Zhang; Yuqin Zhang; Zhi-Cheng Li 001 (Displays, 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)

Drop and Align: Fusing Pathology and Genomics via Graph Learning for Cancer Survival Prediction. - Zeyu Zhang; Yuanshen Zhao; Jingxian Duan; Yaou Liu; Dong Liang 001; Zhi-Cheng Li 001 (ISBI, 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)

SurvGraph: A hybrid-graph attention network for survival prediction using whole slide pathological images in gastric cancer. - Yuanshen Zhao; Longsong Li; Xi Yu; Ke Han; Jingxian Duan; Dong Liang 001; Ningli Chai; Zhicheng Li 001 (Neural Networks, 2025)