| Predicting cancer outcomes from histology and genomics using convolutional networks P Mobadersany, S Yousefi, M Amgad, DA Gutman, JS Barnholtz-Sloan, ... Proceedings of the National Academy of Sciences 115 (13), E2970-E2979, 2018 | 872 | 2018 |
| NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer M Amgad, LA Atteya, H Hussein, KH Mohammed, E Hafiz, MAT Elsebaie, ... GigaScience 11, giac037, 2022 | 73 | 2022 |
| GestAltNet: aggregation and attention to improve deep learning of gestational age from placental whole-slide images P Mobadersany, LAD Cooper, JA Goldstein Laboratory Investigation 101 (7), 942-951, 2021 | 22 | 2021 |
| Interactive classification of whole-slide imaging data for cancer researchers S Lee, M Amgad, P Mobadersany, M McCormick, BP Pollack, H Elfandy, ... Cancer research 81 (4), 1171-1177, 2021 | 22 | 2021 |
| A simple method to solve quartic equations A Fathi, P Mobadersany, R Fathi Australian Journal of Basic and Applied Sciences 6 (6), 331-336, 2012 | 15 | 2012 |
| A fuzzy multi-stage path-planning method for a robot in a dynamic environment with unknown moving obstacles P Mobadersany, S Khanmohammadi, S Ghaemi Robotica, 1-17, 2014 | 13 | 2014 |
| Explainable nucleus classification using decision tree approximation of learned embeddings M Amgad, LA Atteya, H Hussein, KH Mohammed, E Hafiz, MAT Elsebaie, ... Bioinformatics 38 (2), 513-519, 2022 | 12 | 2022 |
| Contributions from the 2018 literature on bioinformatics and translational informatics M Smaïl-Tabbone, B Rance Yearbook of Medical Informatics 28 (01), 190-193, 2019 | 7 | 2019 |
| An efficient fuzzy method for path planning a robot in complex environments P Mobadersany, S Khanmohammadi, S Ghaemi 2013 21st Iranian Conference on Electrical Engineering (ICEE), 1-6, 2013 | 5 | 2013 |
| Digital histopathology-based multimodal artificial intelligence scores predict risk of progression in a randomized phase III trial in patients with nonmetastatic castration … FY Feng, MR Smith, F Saad, P Mobadersany, SK Tian, SSF Yip, ... Journal of Clinical Oncology 41 (16_suppl), 5035-5035, 2023 | 1 | 2023 |
| AI-enabled analysis of H&E-stained prostate cancer tissue images: Assessing risk for metastasis prior to apalutamide (APA) treatment of patients with non-metastatic castration … P Mobadersany, SK Tian, SSF Yip, J Greshock, N Khan, MK Yu, ... Journal of Clinical Oncology 41 (16_suppl), 5027-5027, 2023 | | 2023 |
| Artificial intelligence (AI)-based multimodal framework predicts androgen-deprivation therapy (ADT) outcomes in non-metastatic castration resistant prostate cancer (nmCRPC … P Mobadersany, J Lucas, D Govind, C Aguilar-Bonavides, S McCarthy, ... American Association for Cancer Research (AACR), 5053, 2022 | | 2022 |
| Predicting Time-To-Event and Clinical Outcomes from High-Dimensional Unstructured Data P Mobadersany Emory University, 2021 | | 2021 |
| Content Summa-ries of Selected Best Papers for the 2019 IMIA Yearbook, Section Bioinformatics and Translational Informatics P Mobadersany, S Yousefi, M Amgad, DA Gutman, JS Barnholtz-Sloan, ... Proc Natl Acad Sci USA 115 (13), E2970-E2979, 2018 | | 2018 |
| Assessing the Feasibility of Pathology Informatics Approaches for Subtyping Diffuse Large B-Cell Lymphoma (DLBCL) SJ Lewis, J Goldstein, M Farone, AT Phan, JL Koff, AD Staton, ... Blood 128 (22), 5408-5408, 2016 | | 2016 |
Lee CooperDepartment of Pathology, Northwestern UniversityVerified email at northwestern.edu
