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M. Amgad · SciRah

Researcher profile · Semantic Scholar

M. Amgad

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M. Amgad — researcher profile on SciRah

h-index: 24
Works: 71
Citations: 3,351

Most-cited papers

Predicting cancer outcomes from histology and genomics using convolutional networks
Pooya Mobadersany, Safoora Yousefi, M. Amgad, D. Gutman +4 more
2017Proceedings of the National Academy of Sciences of the United States of America1,000 citations Open access
Semantic Scholar
Structured crowdsourcing enables convolutional segmentation of histology images
M. Amgad, H. Elfandy, Hagar Hussein, Lamees A. Atteya +27 more
2019Bioinform.334 citations Open access
Semantic Scholar
Medical Student Research: An Integrated Mixed-Methods Systematic Review and Meta-Analysis
M. Amgad, Marco Man Kin Tsui, S. Liptrott, E. Shash
2015PLoS ONE285 citations Open access
Semantic Scholar
Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models
Safoora Yousefi, Fatemeh Amrollahi, M. Amgad, Chengliang Dong +7 more
2017Scientific Reports228 citations Open access
Semantic Scholar
Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer
Z. Kos, Elvire Roblin, Rim S. Kim, S. Michiels +89 more
2020npj Breast Cancer185 citations Open access
Semantic Scholar
Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group
M. Amgad, E. Stovgaard, E. Balslev, J. Thagaard +64 more
2020npj Breast Cancer157 citations Open access
Semantic Scholar
NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer
M. Amgad, Lamees A. Atteya, Hagar Hussein, K. Mohammed +33 more
2021GigaScience122 citations Open access
Semantic Scholar
A population-level digital histologic biomarker for enhanced prognosis of invasive breast cancer
M. Amgad, James M. Hodge, Maha A. T. Elsebaie, C. Bodelon +7 more
2023Nature Medicine117 citations Open access
Semantic Scholar
Machine-Based Detection and Classification for Bone Marrow Aspirate Differential Counts: Initial Development Focusing on Non-Neoplastic Cells
Ramraj Chandradevan, A. Aljudi, Bradley Drumheller, Nilakshan Kunananthaseelan +4 more
2019Laboratory Investigation105 citations Open access
Semantic Scholar
Clinical correlates of common corneal neovascular diseases: a literature review.
N. Abdelfattah, M. Amgad, Amira A. Zayed, Hamdy Salem +3 more
2015International Journal of Ophthalmology82 citations
Semantic Scholar
A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization
Ruichen Rong, Hudanyun Sheng, Kevin W. Jin, Fang-Jiang Wu +11 more
2023Modern Pathology68 citations Open access
Semantic Scholar
Interactive phenotyping of large-scale histology imaging data with HistomicsML
Michael Nalisnik, M. Amgad, Sanghoon Lee, S. Halani +4 more
2017Scientific Reports63 citations Open access
Semantic Scholar
Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
J. Thagaard, G. Broeckx, D. Page, C. Jahangir +138 more
2023Journal of Pathology54 citations Open access
Semantic Scholar
Artificial Intelligence and Algorithmic Computational Pathology: Introduction with Renal Allograft Examples
A. Farris, J. Vizcarra, M. Amgad, L. Cooper +2 more
2020Histopathology52 citations Open access
Semantic Scholar
Joint Region and Nucleus Segmentation for Characterization of Tumor Infiltrating Lymphocytes in Breast Cancer
M. Amgad, A. Sarkar, C. Srinivas, R. Redman +7 more
2019Medical Imaging52 citations Open access
Semantic Scholar
Molecular underpinnings of corneal angiogenesis: advances over the past decade.
N. Abdelfattah, M. Amgad, Amira A. Zayed, H. Hussein +1 more
2016International Journal of Ophthalmology35 citations Open access
Semantic Scholar
A panoptic segmentation dataset and deep-learning approach for explainable scoring of tumor-infiltrating lymphocytes
Shangke Liu, M. Amgad, Deeptej More, M. A. Rathore +2 more
2024npj Breast Cancer32 citations Open access
Semantic Scholar
Cancer education for medical students in developing countries: where do we stand and how to improve?
M. Amgad, E. Shash, R. Gaafar
2012Critical reviews in oncology/hematology30 citations
Semantic Scholar
histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing
Alessia Marcolini, Nicole Bussola, E. Arbitrio, M. Amgad +2 more
2022SoftwareX29 citations Open access
Semantic Scholar
Learning from crowds in digital pathology using scalable variational Gaussian processes
M. López-Pérez, M. Amgad, Pablo Morales-Álvarez, Pablo Ruiz +3 more
2021Scientific Reports29 citations Open access
Semantic Scholar
Development of an Arabic version of the National Eye Institute Visual Function Questionnaire as a tool to study eye diseases patients in Egypt.
N. Abdelfattah, M. Amgad, A. Salama, Marina E Israel +13 more
2013International Journal of Ophthalmology29 citations
Semantic Scholar
A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study
Sarah Dudgeon, Si Wen, M. Hanna, Rajarsi R. Gupta +19 more
2020Journal of Pathology Informatics28 citations Open access
Semantic Scholar
Interactive classification of whole-slide imaging data for cancer researchers
Sanghoon Lee, M. Amgad, Pooya Mobadersany, Matt McCormick +5 more
2020Cancer Research24 citations Open access
Semantic Scholar
An Ensemble-based Active Learning for Breast Cancer Classification
Sanghoon Lee, M. Amgad, M. Masoud, Rajasekaran Subramanian +2 more
2019IEEE International Conference on Bioinformatics and Biomedicine24 citations
Semantic Scholar
Management of Low and Intermediate Risk Adult Rhabdomyosarcoma: A Pooled Survival Analysis of 553 Patients
Maha A. T. Elsebaie, M. Amgad, Ahmed Elkashash, A. Elgebaly +3 more
2018Scientific Reports24 citations Open access
Semantic Scholar
Extending Ripley’s K-Function to Quantify Aggregation in 2-D Grayscale Images
M. Amgad, Anri Itoh, M. Tsui
2015PLoS ONE22 citations Open access
Semantic Scholar
Image Analysis Pipeline for Renal Allograft Evaluation and Fibrosis Quantification
A. Farris, J. Vizcarra, M. Amgad, Lee Alex Donald Cooper +2 more
2021Kidney International Reports21 citations Open access
Semantic Scholar
High expression of MKK3 is associated with worse clinical outcomes in African American breast cancer patients
Xuan Yang, M. Amgad, L. Cooper, Yu-Hong Du +2 more
2020Journal of Translational Medicine20 citations Open access
Semantic Scholar
Integrating Web 2.0 in Clinical Research Education in a Developing Country
M. Amgad, Ahmad Samir Alfaar
2014Journal of Cancer Education20 citations Open access
Semantic Scholar
Host immune cellular reactions in corneal neovascularization.
N. Abdelfattah, M. Amgad, Amira A. Zayed
2016International Journal of Ophthalmology18 citations Open access
Semantic Scholar
Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings
M. Amgad, Lamees A. Atteya, Hagar Hussein, K. Mohammed +7 more
2021Bioinform.15 citations Open access
Semantic Scholar
A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset
Shangke Liu, M. Amgad, M. A. Rathore, Roberto Salgado +1 more
10 citations
Semantic Scholar
Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms
Katherine Elfer, Sarah Dudgeon, Victor Garcia, K. Blenman +14 more
2022Journal of Medical Imaging8 citations Open access
Semantic Scholar
Is the Intramedullary Skeletal Kinetic Distractor a Safe Measure for Bone Lengthening? A Systematic Review
A. Mahmoud, M. Amgad, M. Abdel-Mohsen, A. Nagy +5 more
20146 citations Open access
Semantic Scholar
MuTILs: explainable, multiresolution computational scoring of Tumor-Infiltrating Lymphocytes in breast carcinomas using clinical guidelines
M. Amgad, Roberto Salgado, L. Cooper
2022medRxiv5 citations Open access
Semantic Scholar
A population-level computational histologic signature for invasive breast cancer prognosis
M. Amgad, James M. Hodge, Maha A. T. Elsebaie, C. Bodelon +7 more
2023Research Square3 citations Open access
Semantic Scholar
RETRACTED ARTICLE: Impact of manual removal of the placenta and intrauterine cleaning during elective cesarean delivery on maternal infectious morbidity and blood loss
H. Hamza, M. Rezk, A. Tharwat, M. Amgad +1 more
2021Journal of Maternal-Fetal & Neonatal Medicine3 citations
Semantic Scholar
A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning
Lan-Tian Zhang, M. Amgad, L. Cooper
2021arXiv.org3 citations
Semantic Scholar
HistomicsML2.0: Fast interactive machine learning for whole slide imaging data
Sanghoon Lee, M. Amgad, D. Chittajallu, Matt McCormick +5 more
2020arXiv.org3 citations
Semantic Scholar
Publisher Correction: Management of Low and Intermediate Risk Adult Rhabdomyosarcoma: A Pooled Survival Analysis of 553 Patients
Maha A. T. Elsebaie, M. Amgad, Ahmed Elkashash, A. Elgebaly +3 more
2018Scientific Reports3 citations Open access
Semantic Scholar
Artificial Intelligence in Oncology: Clinical Applications, Challenges, and Opportunities.
Gerneiva Parkinson, Rima Patel, C. Bergstrom, Brian Vadasz +4 more
2026American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting2 citations
Semantic Scholar
Lung Transplantation for Patient with Acute Respiratory Distress Syndrome Secondary to Disseminated Blastomycosis
J. Katz, M. Subramani, C. Myers, K. Warrior +7 more
2025The Journal of Heart and Lung Transplantation2 citations
Semantic Scholar
A Deep Learning Approach for Histology-Based Nuclei Segmentation and Tumor Microenvironment Characterization
Ruichen Rong, Hudanyun Sheng, Kevin W. Jin, Fang-Jiang Wu +11 more
2022bioRxiv2 citations Open access
Semantic Scholar
The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group
K. El Bairi, H. R. Haynes, E. Blackley, S. Fineberg +496 more
2021npj Breast Cancer2 citations Open access
Semantic Scholar
The Evolution of Undergraduate Medical Student Research Activities: Personal Experience of a Developing Nation’s Uprise
M. Amgad, E. Shash
2015Journal of Cancer Education2 citations
Semantic Scholar
1621 Hepatoid Adenocarcinoma of Lung Retains Selective Hepatic Oncogenic Programs Within a Lung-Like Transcriptome
S. Fridland, M. Amgad, Jonathan Chen, M. Sukhanova +5 more
2026Laboratory Investigation1 citations
Semantic Scholar
Artificial Intelligence based Tumour Infiltrating Lymphocyte Quantification in Triple Negative Breast Cancer: an independent validation study
J. Dixon-Douglas, D. Drubay, Roberto Salgado, Balasz Acs +35 more
2026The Lancet Oncology1 citations Open access
Semantic Scholar
Learning Clinical Outcomes from Heterogeneous Genomic Data Sources
Safoora Yousefi, Amirreza Shaban, M. Amgad, Ramraj Chandradevan +1 more
20191 citations
Semantic Scholar
Abstract PD11-02: Artificial Intelligence for Tumor-Infiltrating Lymphocytes in Early-Stage TNBC: Results of a Collaborative Prospective TIL Validation Challenge
J. Dixon-Douglas, D. Drubay, R. Salgado, B. Acs +34 more
2026Clinical Cancer Research0 citations
Semantic Scholar
Effects of breast cancer risk factors on the tumor microenvironment: a morphological deep-learning analysis of three prospective cohorts
C. Bodelon, M. Amgad, J. Hodge, Maha A. T. Elsebaie +10 more
2026npj Breast Cancer0 citations Open access
Semantic Scholar

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