Mohamed Amgad Tageldin
Mohamed Amgad Tageldin
Other namesMohamed Amgad
Dept. of Pathology, Northwestern University
Verified email at - Homepage
Cited by
Cited by
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
Medical student research: an integrated mixed-methods systematic review and meta-analysis
M Amgad, M Man Kin Tsui, SJ Liptrott, E Shash
PLoS one 10 (6), e0127470, 2015
Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models
S Yousefi, F Amrollahi, M Amgad, C Dong, JE Lewis, C Song, DA Gutman, ...
Scientific reports 7 (1), 11707, 2017
Structured crowdsourcing enables convolutional segmentation of histology images
M Amgad, H Elfandy, H Hussein, LA Atteya, MAT Elsebaie, LS Abo Elnasr, ...
Bioinformatics 35 (18), 3461-3467, 2019
Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer
Z Kos, E Roblin, RS Kim, S Michiels, BD Gallas, W Chen, KK van de Vijver, ...
NPJ breast cancer 6 (1), 17, 2020
Report on computational assessment of tumor infiltrating lymphocytes from the International Immuno-Oncology Biomarker Working Group
M Amgad, ES Stovgaard, E Balslev, J Thagaard, W Chen, S Dudgeon, ...
NPJ breast cancer 6 (1), 16, 2020
The tale of TILs in breast cancer: a report from the international immuno-oncology biomarker working group
K El Bairi, HR Haynes, E Blackley, S Fineberg, J Shear, S Turner, ...
NPJ Breast Cancer 7 (1), 150, 2021
Clinical correlates of common corneal neovascular diseases: a literature review
NS Abdelfattah, M Amgad, AA Zayed, H Salem, AE Elkhanany, H Hussein, ...
International journal of ophthalmology 8 (1), 182, 2015
Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cells
R Chandradevan, AA Aljudi, BR Drumheller, N Kunananthaseelan, ...
Laboratory investigation 100 (1), 98-109, 2020
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
Interactive phenotyping of large-scale histology imaging data with HistomicsML
M Nalisnik, M Amgad, S Lee, SH Halani, JE Velazquez Vega, DJ Brat, ...
Scientific reports 7 (1), 14588, 2017
Joint region and nucleus segmentation for characterization of tumor infiltrating lymphocytes in breast cancer
M Amgad, A Sarkar, C Srinivas, R Redman, S Ratra, CJ Bechert, ...
Medical Imaging 2019: Digital Pathology 10956, 129-136, 2019
Artificial intelligence and algorithmic computational pathology: an introduction with renal allograft examples
AB Farris, J Vizcarra, M Amgad, LAD Cooper, D Gutman, J Hogan
Histopathology 78 (6), 791-804, 2021
Development of an Arabic version of the National Eye Institute Visual Function Questionnaire as a tool to study eye diseases patients in Egypt
NS Abdelfattah, M Amgad, AA Salama, ME Israel, GA Elhawary, ...
International journal of ophthalmology 7 (5), 891, 2014
Cancer education for medical students in developing countries: where do we stand and how to improve?
M Amgad, E Shash, R Gaafar
Critical reviews in oncology/hematology 84 (1), 122-129, 2012
Integrating web 2.0 in clinical research education in a developing country
M Amgad, AS AlFaar
Journal of Cancer Education 29, 536-540, 2014
Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials
J Hudeček, L Voorwerk, M van Seijen, I Nederlof, M de Maaker, ...
NPJ Breast Cancer 6 (1), 15, 2020
A pathologist-annotated dataset for validating artificial intelligence: a project description and pilot study
SN Dudgeon, S Wen, MG Hanna, R Gupta, M Amgad, M Sheth, H Marble, ...
Journal of Pathology Informatics 12 (1), 45, 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
An ensemble-based active learning for breast cancer classification
S Lee, M Amgad, M Masoud, R Subramanian, D Gutman, L Cooper
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
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