| 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 | 944 | 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 | 83 | 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 | 24 | 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 | 23 | 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 | 17 | 2012 |
| 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 | 15 | 2022 |
| 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 | 14 | 2014 |
| 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 | 6 | 2013 |
| Barnholtz-Sloan, José E. Velázquez Vega, Daniel J. Brat, and Lee AD Cooper. 2018.“Predicting Cancer Outcomes from Histology and Genomics Using Convolutional Networks.” P Mobadersany, S Yousefi, M Amgad, DA Gutman, S Jill Proceedings of the National Academy of Sciences 115 (13), E2970-E2979, 0 | 4 | |
| 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 | 2 | 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 | 1 | 2022 |
| 544 ARGES-CMES: A NOVEL, CONTINUOUS SCORING FOR ULCERATIVE COLITIS DISEASE SEVERITY: PREDICTION AND SENSITIVITY IN ASSESSING TREATMENT RESPONSE E Scherer, K Chaitanya, PF Damasceno, AU Cerna, N Zemlianskaia, ... Gastroenterology 166 (5), S-125, 2024 | | 2024 |
| 754 ARGES: AN AI-CENTRIC TOOLBOX FOR IBD CLINICAL TRIAL RESEARCH AND DEVELOPMENT PF Damasceno, K Chaitanya, P Mobadersany, C Parmar, S Fadnavis, ... Gastroenterology 166 (5), S-178-S-179, 2024 | | 2024 |
| Tu1992 ARGES-CMES: A NOVEL, CONTINOUS SCORING FOR ULCERATIVE COLITIS DISEASE SEVERITY: ASSOCIATION WITH CLINICAL MEASURES AND TREATMENT RESPONSE VARIABLES K Chaitanya, E Scherer, PF Damasceno, AU Cerna, N Zemlianskaia, ... Gastroenterology 166 (5), S-1482-S-1483, 2024 | | 2024 |
| Tu1993 ARGESMAP: AN AI-DRIVEN MODEL TO ENHANCE ANATOMIC SEGMENT CLASSIFICATION OF GASTROINTESTINAL ENDOSCOPY VIDEOS IN CROHN'S DISEASE P Mobadersany, C Parmar, PF Damasceno, K Chaitanya, S Li, E Schwab, ... Gastroenterology 166 (5), S-1483, 2024 | | 2024 |
| P213 ArgesMES: A high-performance, generalizable AI model for scoring Ulcerative Colitis severity from endoscopy videos K Chaitanya, N Zemlianskaia, P Damasceno, E Scherer, A Ulloa Cerna, ... Journal of Crohn's and Colitis 18 (Supplement_1), i536-i536, 2024 | | 2024 |
| P294 ArgesUCEIS: A high-performance, generalizable AI models for scoring Ulcerative Colitis Endoscopic Index of Severity (UCEIS) component scores in endoscopy videos K Chaitanya, N Zemlianskaia, P Damasceno, E Scherer, A Ulloa Cerna, ... Journal of Crohn's and Colitis 18 (Supplement_1), i665-i666, 2024 | | 2024 |
| ArgesUCEIS: A high-performance, generalizable AI models for scoring Ulcerative Colitis Endoscopic Index of Severity (UCEIS) component scores in endoscopy videos K Chaitanya, N Zemlianskaia, P Damasceno, E Scherer, AU Cerna, ... JOURNAL OF CROHNS & COLITIS 18, I658-I658, 2024 | | 2024 |
| ArgesMES: A high-performance, generalizable AI model for scoring Ulcerative Colitis severity from endoscopy videos K Chaitanya, N Zemlianskaia, P Damasceno, E Scherer, AU Cerna, ... JOURNAL OF CROHNS & COLITIS 18, I531-I531, 2024 | | 2024 |
Lee CooperDepartment of Pathology, Northwestern University在 northwestern.edu 的电子邮件经过验证
