Jointly Using Deep Model Learned Features and Traditional Visual Features in a Stacked SVM for Medical Subfigure Classification. - Hongyu Wang 011; Jianpeng Zhang; Yong Xia 001 (IScIDE, 2017)

ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography. - Hongyu Wang 011; Yong Xia 001 (CoRR, 2018)

Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography. - Hongyu Wang 011; Haozhe Jia; Le Lu 001; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2020)

Triple attention learning for classification of 14 thoracic diseases using chest radiography. - Hongyu Wang 011; Shanshan Wang 002; Zibo Qin; Yanning Zhang 001; Ruijiang Li; Yong Xia 001 (Medical Image Anal., 2021)

Domain-ensemble learning with cross-domain mixup for thoracic disease classification in unseen domains. - Hongyu Wang 011; Yong Xia 001 (Biomed. Signal Process. Control., 2023)

Robust Stochastic Neural Ensemble Learning With Noisy Labels for Thoracic Disease Classification. - Hongyu Wang 011; Jiang He; Hengfei Cui; Bo Yuan; Yong Xia 001 (IEEE Trans. Medical Imaging, 2024)