| Patient adherence to lung CT screening reporting & data system–recommended screening intervals in the United States: A systematic review and meta-analysis Y Lin, M Fu, R Ding, K Inoue, CY Jeon, W Hsu, DR Aberle, AE Prosper Journal of Thoracic Oncology 17 (1), 38-55, 2022 | 42 | 2022 |
| Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome R Ding, P Prasanna, G Corredor, C Barrera, P Zens, C Lu, P Velu, P Leo, ... NPJ precision oncology 6 (1), 33, 2022 | 26 | 2022 |
| Deep computational image analysis of immune cell niches reveals treatment-specific outcome associations in lung cancer C Barrera, G Corredor, VS Viswanathan, R Ding, P Toro, P Fu, C Buzzy, ... NPJ precision oncology 7 (1), 52, 2023 | 9 | 2023 |
| Factors associated with nonadherence to lung cancer screening across multiple screening time points Y Lin, LJ Liang, R Ding, AE Prosper, DR Aberle, W Hsu JAMA Network Open 6 (5), e2315250-e2315250, 2023 | 4 | 2023 |
| Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores R Ding, P Prasanna, G Corredor, C Lu, P Velu, K Le, P Leo, N Beig, ... Medical Imaging 2020: Digital Pathology 11320, 1132003, 2020 | 4 | 2020 |
| Tailoring pretext tasks to improve self-supervised learning in histopathologic subtype classification of lung adenocarcinomas R Ding, A Yadav, E Rodriguez, ACAL da Silva, W Hsu Computers in Biology and Medicine 166, 107484, 2023 | 2 | 2023 |
| Improving mitosis detection on histopathology images using large vision-language models R Ding, J Hall, N Tenenholtz, K Severson arXiv preprint arXiv:2310.07176, 2023 | 1 | 2023 |
| Using Graph Neural Networks to Capture Tumor Spatial Relationships for Lung Adenocarcinoma Recurrence Prediction R Ding, E Rodriguez, ACAL Da Silva, W Hsu 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 1 | 2023 |
| Density patterns of tumor-infiltrating lymphocytes and association with objective response to nivolumab in patients with lung adenocarcinoma from CheckMate 057. G Corredor, R Ding, P Prasanna, C Barrera, P Toro, VS Viswanathan, ... Journal of Clinical Oncology 40 (16_suppl), 2662-2662, 2022 | 1 | 2022 |
| Improving the self-supervised pretext task for histopathologic subtype classification R Ding, A Yadav, E Rodriguez, ACAL da Silva, W Hsu Medical Imaging with Deep Learning, 2022 | 1 | 2022 |
| Using integrated radiomic and pathomic-based models to predict progression-free survival in early-stage lung adenocarcinoma T Zhang, A Yadav, R Ding, S Johnson, D Aberle, A Prosper, E Rodriguez, ... Medical Imaging 2024: Digital and Computational Pathology 12933, 216-220, 2024 | | 2024 |
| Capturing Demographic, Health-Related, and Psychosocial Variables in a Standardized Manner: Towards Improving Cancer Screening Adherence Y Lin, R Ding, AE Prosper, DR Aberle, AAT Bui, W Hsu AMIA Annual Symposium Proceedings 2022, 709, 2022 | | 2022 |
