Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores. - Ruiwen Ding; Prateek Prasanna; Germán Corredor; Cheng Lu 001; Priya Velu; Khoi Le; Patrick Leo; Niha G. Beig; Vamsidhar Velcheti; David L. Rimm; Kurt A. Schalper; Anant Madabhushi (Digital Pathology, 2020)

Capturing Demographic, Health-Related, and Psychosocial Variables in a Standardized Manner: Towards Improving Cancer Screening Adherence. - Yannan Lin; Ruiwen Ding; Ashley Prosper; Denise R. Aberle; Alex A. T. Bui; William Hsu (AMIA, 2022)

Using Graph Neural Networks to Capture Tumor Spatial Relationships for Lung Adenocarcinoma Recurrence Prediction. - Ruiwen Ding; Erika Rodriguez; Ana Cristina Araujo Lemos Da Silva; William Hsu (ISBI, 2023)

Tailoring pretext tasks to improve self-supervised learning in histopathologic subtype classification of lung adenocarcinomas. - Ruiwen Ding; Anil Yadav; Erika Rodriguez; Ana Cristina Araujo Lemos Da Silva; William Hsu (Comput. Biol. Medicine, 2023)

Improving Mitosis Detection on Histopathology Images Using Large Vision-Language Models. - Ruiwen Ding; James Brian Hall; Neil A. Tenenholtz; Kristen Severson 001 (ISBI, 2024)

Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images. - Ruiwen Ding; Kha-Dinh Luong; Erika Rodriguez; Ana Cristina Araujo Lemos Da Silva; William Hsu (CoRR, 2024)

Predicting Ulcer in H&E Images of Inflammatory Bowel Disease Using Domain-Knowledge-Driven Graph Neural Network. - Ruiwen Ding; Lin Li; Rajath Soans; Tosha Shah; Radha Krishnan; Marc Alexander Sze; Sasha Lukyanov; Yash Deshpande; Antong Chen (ISBI, 2025)

Evaluating an information theoretic approach for selecting multimodal data fusion methods. - Tengyue Zhang; Ruiwen Ding; Kha-Dinh Luong; William Hsu (J. Biomed. Informatics, 2025)