Comprehensive anticancer drug response prediction based on a simple cell line-drug complex network model. - Dong Wei; Chuanying Liu; Xiaoqi Zheng; Yushuang Li (BMC Bioinform., 2019)

Piston Error Measurement for Segmented Telescopes with an Artificial Neural Network. - Dan Yue; Yihao He; Yushuang Li (Sensors, 2021)

Predicting breast cancer recurrence and metastasis risk by integrating color and texture features of histopathological images and machine learning technologies. - Xinyu Liu; Peng Yuan; Ruolin Li; Dejun Zhang; Junda An; Jie Ju; Chenyang Liu; Fuquan Ren; Rui Hou 006; Yushuang Li; Jialiang Yang (Comput. Biol. Medicine, 2022)

IHA-Net: An automatic segmentation framework for computer-tomography of tiny intracerebral hemorrhage based on improved attention U-net. - Yue Ma; Fuquan Ren; Wenrui Li; Nanan Yu; Dejun Zhang; Yushuang Li; Mingchi Ke (Biomed. Signal Process. Control., 2023)

SNSynergy: Similarity network-based machine learning framework for synergy prediction towards new cell lines and new anticancer drug combinations. - Xiaosheng Huangfu; Chengwei Zhang; Hualong Li; Sile Li; Yushuang Li (Comput. Biol. Chem., 2024)

Vertical Distribution Mapping for Methane Fugitive Emissions Using Laser Path-Integral Sensing in Non-Cooperative Open Paths. - Di Wang 041; Yushuang Li; Yu Pu; Yan Lv; Mingji Wang; Hui Yang; Xuefeng Zhao; Dong Li (Sensors, 2024)