| Artificial intelligence and deep learning in pathology S Cohen Elsevier Health Sciences, 2020 | 48 | 2020 |
| Mesenchymal cell interaction with ovarian cancer cells induces a background dependent pro-metastatic transcriptomic profile R Lis, C Touboul, NM Halabi, AS Madduri, D Querleu, J Mezey, JA Malek, ... Journal of translational medicine 12, 1-12, 2014 | 46 | 2014 |
| Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years G Fernandez, M Prastawa, AS Madduri, R Scott, B Marami, N Shpalensky, ... Breast Cancer Research 24 (1), 93, 2022 | 12 | 2022 |
| Empirical Bayes conditional independence graphs for regulatory network recovery R Mahdi, AS Madduri, G Wang, Y Strulovici-Barel, J Salit, NR Hackett, ... Bioinformatics 28 (15), 2029-2036, 2012 | 11 | 2012 |
| Artificial intelligence methods for predictive image-based grading of human cancers G Fernandez, AS Madduri, B Marami, M Prastawa, R Scott, J Zeineh, ... Artificial Intelligence and Deep Learning in Pathology, 175-210, 2021 | 6 | 2021 |
| Analytical validation of the PreciseDx digital prognostic breast cancer test in early-stage breast cancer G Fernandez, J Zeineh, M Prastawa, R Scott, AS Madduri, A Shtabsky, ... Clinical Breast Cancer 24 (2), 93-102. e6, 2024 | 2 | 2024 |
| An AI-digital breast cancer risk discrimination platform (PreciseDx) using a representative H&E image and selected clinical variables accurately categorized patients with … N Shpalensky, M Prastawa, R Scott, S Madduri, B Veremis, A Shtabsky Virtual. Poster PS6-09, 0 | 1 | |
| 288P External validation of an AI-enabled digital test (PreciseDx Breast) to predict breast cancer recurrence within 6-years exhibited good independent performance on a … MJ Donovan, P Westenend, C Meurs, G Fernandez, J Zeineh, AS Madduri, ... Annals of Oncology 35, S335, 2024 | | 2024 |
| AI-enabled digital test to predict disease recurrence for patients with early-stage invasive breast cancer and performance in a MammaPrint low-risk cohort from the Netherlands … MJ Donovan, C Meurs, G Fernandez, A Sainath Madduri, A Feliz, ... Journal of Clinical Oncology 42 (16_suppl), 1569-1569, 2024 | | 2024 |
| Clinical validation of an Artificial-intelligent (AI) enabled digital test using the patients diagnostic breast biopsy to predict invasive breast cancer recurrence within 6-years M Donovan, G Fernandez, J Zeineh, AS Madduri, R Scott, M Prastawa European Journal of Cancer 200, 2024 | | 2024 |
| A novel AI-digital Test with an automated approach for grading and phenotyping breast cancer enriches recurrence score risk prediction in an Oncotype evaluated cohort G Fernandez, M Prastawa, R Scott, B Marami, N Shpalensky, A Madduri, ... CANCER RESEARCH 83 (5), 2023 | | 2023 |
| Abstract P3-05-21: A novel AI-digital Test with an automated approach for grading and phenotyping breast cancer enriches recurrence score risk prediction in an Oncotype … G Fernandez, M Prastawa, R Scott, B Marami, N Shpalensky, A Madduri, ... Cancer Research 83 (5_Supplement), P3-05-21-P3-05-21, 2023 | | 2023 |
| Development and Validation of a Digital-Artificial Intelligent (AI) enabled Assay to predict early-stage breast cancer recurrence G Fernandez, M Prastawa, R Scott, B Marami, N Shpalensky, A Madduri, ... European Journal of Cancer 175, S85, 2022 | | 2022 |
| Digital Image Analysis in Risk Stratification of Midgut and Pancreatic Neuroendocrine Tumors X Wang, M Kim, D Mendoza, J Whang, R Jordan, M Donovan, ... LABORATORY INVESTIGATION 102 (SUPPL 1), 538-538, 2022 | | 2022 |
| Abstract PS6-09: An AI-digital breast cancer risk discrimination platform (PreciseDx) using a representative H&E image and selected clinical variables accurately categorized … MJ Donovan, N Shpalensky, M Prastawa, SM Abishek, R Scott, M Sawyer, ... Cancer Research 81 (4_Supplement), PS6-09-PS6-09, 2021 | | 2021 |
| An AI-digital breast cancer risk discrimination platform (PreciseDx) using a representative H&E image and selected clinical variables accurately categorized patients with … MJ Donovan, N Shpalensky, M Prastawa, SM Abishek, R Scott, M Sawyer, ... CANCER RESEARCH 81 (4), 2021 | | 2021 |
| MP09-12 AN AUTOMATED NOVEL DEEP LEARNING H&E IMAGE ANALYSIS PLATFORM OUTPERFORMS CLINICAL ONLY MODELS AND GLEASON GRADING TO PREDICT POSTOPERATIVE DISEASE RECURRENCE G Fernandez, R Scott, AS Madduri, M Prastawa, B Marami, ... Journal of Urology 203, e120, 2020 | | 2020 |
| Abstract P3-08-11: The application of machine learning techniques to standardize breast cancer grading and develop multivariate risk outcome models M Prastawa, AS Madduri, B Veremis, A Shtabsky, B Marami, J Zeineh, ... Cancer Research 80 (4_Supplement), P3-08-11-P3-08-11, 2020 | | 2020 |
| The application of machine learning techniques to standardize breast cancer grading and develop multivariate risk outcome models M Prastawa, AS Madduri, B Veremis, A Shtabsky, B Marami, J Zeineh, ... CANCER RESEARCH 80 (4), 2020 | | 2020 |
| Automated Mitotic Detection of Whole Slide Images in Pancreatic Neuroendocrine Tumors M Blakely, L Machado, B Veremis, M Prastawa, AS Madduri, J Zeineh, ... LABORATORY INVESTIGATION 99, 2019 | | 2019 |
Arash RafiiVahvistettu sähköpostiosoite verkkotunnuksessa qatar-med.cornell.edu
