Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic. - Jing Wang 118; Xiaofeng Yang 005; Boran Zhou; James J. Sohn; Jun Zhou 025; Jesse T. Jacob; Kristin Higgins; Jeffrey D. Bradley; Tian Liu 004 (J. Imaging, 2022)

End-to-end brain tumor detection using a graph-feature-based classifier. - Mingzhe Hu; Jing Wang 118; Chih-Wei Chang; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Multi-parametric MRI radiomics analysis with ensemble learning for prostate lesion classification. - Yuheng Li; Jing Wang 118; Chih-Wei Chang; Pretsh Patel; Ashesh B. Jani; Hui Mao; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

A vision-GNN framework for retinopathy classification using optical coherence tomography. - Mingzhe Hu; Jing Wang 118; Jacob F. Wynne; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2023)

Prostate Gleason score prediction via MRI using capsule network. - Yuheng Li; Jing Wang 118; Mingzhe Hu; Pretesh Patel; Hui Mao; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2023)

Quantitative ultrasound radiomics for monitoring radiation-induced toxicity following breast radiotherapy. - Jing Wang 118; Boran Zhou; Mylin A. Torres; Xiaofeng Yang 005; Tian Liu 004 (Computer-Aided Diagnosis, 2023)

Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI. - Yuheng Li; Jacob F. Wynne; Jing Wang 118; Richard L. J. Qiu; Justin Roper; Shaoyan Pan; Ashesh B. Jani; Tian Liu 004; Pretesh R. Patel; Hui Mao; Xiaofeng Yang 005 (CoRR, 2023)

Artificial intelligence in four-dimensional imaging for motion management in radiation therapy. - Yinghui Wang; Haonan Xiao; Jing Wang 118; Lu Wang; Wen Li 010; Zhuoran Jiang; Ge Ren; Shaohua Zhi; Josh Qian; Jianrong Dai; Kuo Men; Lei Ren; et al. (Artif. Intell. Rev., 2025)