Recent advances and clinical applications of deep learning in medical image analysis. - Xuxin Chen; Ximin Wang; Ke Zhang; Roy Zhang; Kar-Ming Fung; Theresa C. Thai; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (CoRR, 2021)

Virtual Adversarial Training for Semi-supervised Breast Mass Classification. - Xuxin Chen; Ximin Wang; Ke Zhang; Kar-Ming Fung; Theresa C. Thai; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (CoRR, 2022)

Recent advances and clinical applications of deep learning in medical image analysis. - Xuxin Chen; Ximin Wang; Ke Zhang; Kar-Ming Fung; Theresa C. Thai; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Medical Image Anal., 2022)

Development and Assessment of Multiple Illumination Color Fourier Ptychographic Microscopy for High Throughput Sample Digitization. - Patrik W. Gilley; Ke Zhang; Neman Abdoli; Youkabed Sadri; Laura Adhikari; Kar-Ming Fung; Yuchen Qiu (Sensors, 2024)

Octascope: A Lightweight Pre-Trained Model for Optical Coherence Tomography. - Haoyang Cui; Chen Wang; Paul Calle; Yunlong Liu; Qinghao Zhang; Sinaro Ly; Justin C. Reynolds; Feng Yan; Ke Zhang; Ronghao Liu; Junyuan Liu; Kar-Ming Fung; et al. (IEEE Access, 2025)

Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models. - Paul Calle; Averi Bates; Justin C. Reynolds; Yunlong Liu; Haoyang Cui; Sinaro Ly; Chen Wang; Qinghao Zhang; Alberto J. de Armendi; Shashank S. Shettar; Kar-Ming Fung; Qinggong Tang; et al. (CoRR, 2025)