Deep learning-based multi-class COVID-19 classification with x-ray images. - Zong Fan; Shenghua He; Su Ruan; Xiaowei Wang; Hua Li 003 (Image-Guided Procedures, 2021)

Application of DatasetGAN in medical imaging: preliminary studies. - Zong Fan; Varun A. Kelkar; Mark A. Anastasio; Hua Li 003 (Image Processing, 2022)

A novel adversarial learning strategy for medical image classification. - Zong Fan; Xiaohui Zhang 012; Jacob A. Gasienica; Jennifer Potts; Su Ruan; Wade Thorstad; Hiram Gay; Xiaowei Wang; Hua Li 003 (CoRR, 2022)

Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework. - Zong Fan; Ping Gong 006; Shanshan Tang; Christine U. Lee; Xiaohui Zhang 012; Pengfei Song; Shigao Chen; Hua Li 003 (CoRR, 2022)

Deep-supervised adversarial learning-based classification for digital histologic images. - Zhimin Wang; Zong Fan; Lulu Sun; Yao Hao; Hiram A. Gay; Wade L. Thorstad; Xiaowei Wang; Hua Li 003 (Digital and Computational Pathology, 2023)

An auxiliary attention-based network for joint classification and localization of breast tumor on ultrasound images. - Zong Fan; Ping Gong 006; Shanshan Tang; Christine U. Lee; Xiaohui Zhang 012; Zhimin Wang; Pengfei Song; Shigao Chen; Hua Li 003 (Image Processing, 2023)

Joint localization and classification of breast masses on ultrasound images using an auxiliary attention-based framework. - Zong Fan; Ping Gong 006; Shanshan Tang; Christine U. Lee; Xiaohui Zhang 012; Pengfei Song; Shigao Chen; Hua Li 003 (Medical Image Anal., 2023)

A computation-efficient network with feature aggregation for cancer subtype classification on histopathological images. - Zong Fan; Chaojie Zhang; Lulu Sun; Wade Thorstad; Hiram Gay; Xiaowei Wang; Hua Li 003 (Eng. Appl. Artif. Intell., 2025)