Mohamed Amgad

According to our database, Mohamed Amgad authored at least 8 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

histolab: A Python library for reproducible Digital Pathology preprocessing with automated testing.

Alessia Marcolini, Nicole Bussola, Ernesto Arbitrio, Mohamed Amgad, Giuseppe Jurman, Cesare Furlanello

SoftwareX, December, 2022

Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings.

Mohamed Amgad, Lamees A. Atteya, Hagar Hussein, Kareem Hosny Mohammed, Ehab Hafiz, Maha A. T. Elsebaie, Pooya Mobadersany, David Manthey, David A. Gutman, Habiba Elfandy, Lee A. D. Cooper

Bioinform., 2022

2021

A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning.

Lantian Zhang, Mohamed Amgad, Lee A. D. Cooper

CoRR, 2021

NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation.

Mohamed Amgad, Lamees A. Atteya, Hagar Hussein, Kareem Hosny Mohammed, Ehab Hafiz, Maha A. T. Elsebaie, Ahmed M. Alhusseiny, Mohamed Atef AlMoslemany, Abdelmagid M. Elmatboly, Philip A. Pappalardo, Rokia Adel Sakr, Pooya Mobadersany, Ahmad Rachid, Anas M. Saad, Ahmad M. Alkashash, Inas A. Ruhban, Anas Alrefai, Nada M. Elgazar, Ali Abdulkarim, Abo-Alela Farag, Amira Etman, Ahmed G. Elsaeed, Yahya Alagha, Yomna A. Amer, Ahmed M. Raslan, Menatalla K. Nadim, Mai A. T. Elsebaie, Ahmed Ayad, Liza E. Hanna, Ahmed M. Gadallah, Mohamed Elkady, Bradley Drumheller, David Jaye, David Manthey, David A. Gutman, Habiba Elfandy, Lee A. D. Cooper

CoRR, 2021

2020

HistomicsML2.0: Fast interactive machine learning for whole slide imaging data.

Sanghoon Lee, Mohamed Amgad, Deepak Roy Chittajallu, Matt McCormick, Brian P. Pollack, Habiba Elfandy, Hagar Hussein, David A. Gutman, Lee A. D. Cooper

CoRR, 2020

2019

Structured crowdsourcing enables convolutional segmentation of histology images.

Mohamed Amgad, Habiba Elfandy, Hagar Hussein, Lamees A. Atteya, Mai A. T. Elsebaie, Lamia S. Abo Elnasr, Rokia Adel Sakr, Hazem S. E. Salem, Ahmed F. Ismail, Anas M. Saad, Joumana Ahmed, Maha A. T. Elsebaie, Mustafijur Rahman, Inas A. Ruhban, Nada M. Elgazar, Yahya Alagha, Mohamed H. Osman, Ahmed M. Alhusseiny, Mariam M. Khalaf, Abo-Alela F. Younes, Ali Abdulkarim, Duaa M. Younes, Ahmed M. Gadallah, Ahmad M. Elkashash, Salma Y. Fala, Basma M. Zaki, Jonathan D. Beezley, Deepak Roy Chittajallu, David Manthey, David A. Gutman, Lee A. D. Cooper

Bioinform., 2019

Joint region and nucleus segmentation for characterization of tumor infiltrating lymphocytes in breast cancer.

Mohamed Amgad, Anindya Sarkar, Chukka Srinivas, Rachel Redman, Simrath Ratra, Charles J. Bechert, Benjamin C. Calhoun, Karen Mrazeck, Uday Kurkure, Lee A. D. Cooper, Michael Barnes

Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

An Ensemble-based Active Learning for Breast Cancer Classification.

Sanghoon Lee, Mohamed Amgad, Mohamed Masoud, Rajasekaran Subramanian, David A. Gutman, Lee Cooper

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019