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Hagar Hussein
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2020 – today
- 2022
- [j2]Mohamed Amgad
, Lamees A. Atteya, Hagar Hussein, Kareem Hosny Mohammed, Ehab Hafiz
Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings. Bioinform. 38(2): 513-519 (2022) - [c1]Asma Alamgir, Hagar Hussein, Yasmin Abdelaal
Artificial Intelligence in Kidney Transplantation: A Scoping Review. MIE 2022: 254-258 - 2021
- [i2]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
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation. CoRR abs/2102.09099 (2021) - 2020
- [i1]Sanghoon Lee, Mohamed Amgad, Deepak Roy Chittajallu, Matt McCormick, Brian P. Pollack, Habiba Elfandy, Hagar Hussein, David A. Gutman, Lee A. D. Cooper:
HistomicsML2.0: Fast interactive machine learning for whole slide imaging data. CoRR abs/2001.11547 (2020)
2010 – 2019
- 2019
- [j1]Mohamed Amgad
Structured crowdsourcing enables convolutional segmentation of histology images. Bioinform. 35(18): 3461-3467 (2019)
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