| Interpretable survival prediction for colorectal cancer using deep learning E Wulczyn, DF Steiner, M Moran, M Plass, R Reihs, F Tan, ... NPJ digital medicine 4 (1), 71, 2021 | 115 | 2021 |
| Determining breast cancer biomarker status and associated morphological features using deep learning P Gamble, R Jaroensri, H Wang, F Tan, M Moran, T Brown, ... Communications medicine 1 (1), 14, 2021 | 85 | 2021 |
| Whole-slide image focus quality: Automatic assessment and impact on ai cancer detection T Kohlberger, Y Liu, M Moran, PHC Chen, T Brown, JD Hipp, CH Mermel, ... Journal of pathology informatics 10 (1), 39, 2019 | 82 | 2019 |
| Evaluation of the use of combined artificial intelligence and pathologist assessment to review and grade prostate biopsies DF Steiner, K Nagpal, R Sayres, DJ Foote, BD Wedin, A Pearce, CJ Cai, ... JAMA network open 3 (11), e2023267-e2023267, 2020 | 67 | 2020 |
| Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading E Wulczyn, K Nagpal, M Symonds, M Moran, M Plass, R Reihs, F Nader, ... Communications medicine 1 (1), 10, 2021 | 37 | 2021 |
| Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images A Sadhwani, HW Chang, A Behrooz, T Brown, I Auvigne-Flament, H Patel, ... Scientific reports 11 (1), 16605, 2021 | 31 | 2021 |
| Deep learning models for histologic grading of breast cancer and association with disease prognosis R Jaroensri, E Wulczyn, N Hegde, T Brown, I Flament-Auvigne, F Tan, ... NPJ breast cancer 8 (1), 113, 2022 | 23 | 2022 |
| Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning JD Krogue, S Azizi, F Tan, I Flament-Auvigne, T Brown, M Plass, R Reihs, ... Communications Medicine 3 (1), 59, 2023 | 4 | 2023 |
| AI-based Gleason Grading for Stratification of Prostate Cancer Outcomes E Wulczyn, K Nagpal, M Symonds, M Moran, M Plass, R Reihs, F Nader, ... | | 2021 |
