Prediction of Short-Term Breast Cancer Risk Based on Deep Convolutional Neural Networks in Mammography. - Yane Li; Ming Fan 003; Shichen Liu; Bin Zheng 001; Lihua Li 002 (J. Medical Imaging Health Informatics, 2019)

Common pests image recognition based on deep convolutional neural network. - Jin Wang; Yane Li; Hailin Feng; Lijin Ren; Xiaochen Du; Jian Wu (Comput. Electron. Agric., 2020)

Prediction of sap flow with historical environmental factors based on deep learning technology. - Yane Li; Jianxin Ye; Dayu Xu; Guomo Zhou; Hailin Feng (Comput. Electron. Agric., 2022)

Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms. - Yane Li; Wei Yuan; Ming Fan 003; Bin Zheng 001; Lihua Li 002 (J. Digit. Imaging, 2022)

Matrix reconstruction with reliable neighbors for predicting potential MiRNA-disease associations. - Hailin Feng; Dongdong Jin; Jian Li 032; Yane Li; Quan Zou 001; Tongcun Liu (Briefings Bioinform., 2023)

Lightweight and accurate aphid detection model based on an improved deep-learning network. - Weihai Sun; Yane Li; Hailin Feng; Xiang Weng; Yaoping Ruan; Kai Fang 001; Leijun Huang (Ecol. Informatics, 2024)