Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. - Issam El-Naqa; Perry Grigsby; Aditya P. Apte; Elizabeth Kidd; Eric Donnelly; Divya Khullar; Summer Chaudhari; Deshan Yang; Martin Schmitt; Richard Laforest; Wade L. Thorstad; Joseph Deasy (Pattern Recognit., 2009)

A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers. - Shenghua He; Chunfeng Lian; Wade Thorstad; Hiram Gay; Yujie Zhao; Su Ruan; Xiaowei Wang; Hua Li 003 (Bioinform., 2021)

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)

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)

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)