MoNET: no-reference image quality assessment based on a multi-depth output network. - Qingbing Sang; Chenfei Su; Lingying Zhu; Lixiong Liu; Xiaojun Wu 001; Alan C. Bovik (J. Electronic Imaging, 2021)

Reversible optical-microwave quantum conversion assisted by optomechanical dynamically dark modes. - Lingying Zhu; Yong Dong; Ji Zhang; Cui-Lu Zhai; Yaxin Zhai; Le-Man Kuang (Quantum Inf. Process., 2021)

BREAST-RANKNet: a fuzzy rank-based ensemble of CNNs with residual learning for enhanced breast cancer detection from ultrasound and mammogram images. - Sohaib Asif; Lingying Zhu; Dane Yan; Luman Xu; Zhengqiu Huang; Haimin Xu; Ruxuan Yan; Linghong Cai; Changfu Zheng; Jiamei Lin; Enyu Wang (J. Big Data, 2025)

Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading. - Jiabin Yu; Qi Liu; Chenjie Xu; Qinli Zhou; Jiajun Xu; Lingying Zhu; Chen Chen; Yahan Zhou; Binggang Xiao; Lin Zheng; Xiaofeng Zhou; Fengming Zhang; et al. (BMC Medical Informatics Decis. Mak., 2025)