Pooya Mobadersany

Predicting cancer outcomes from histology and genomics using convolutional networks

Pooya Mobadersany, Safoora Yousefi, Mohamed Amgad et al. · Proceedings of the National Academy of Sciences · 2018 · 1K citations · Full text

NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer

Mohamed Amgad, Lamees A Atteya, Hagar Hussein et al. · GigaScience · 2022 · 97 citations · Full text

Predicting cancer outcomes from histology and genomics using convolutional networks

Pooya Mobadersany, Safoora Yousefi, Mohamed Amgad et al. · 2017 · 45 citations · Full text

Engineering, Machine Learning, Digital Pathology +20

GestAltNet: aggregation and attention to improve deep learning of gestational age from placental whole-slide images

Pooya Mobadersany, Lee Cooper, Jeffrey A. Goldstein · Laboratory Investigation · 2021 · 37 citations · Full text

Image Classification, Convolutional Neural Network, Image Analysis +11

Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers

Sanghoon Lee, Mohamed Amgad, Pooya Mobadersany et al. · Cancer Research · 2020 · 29 citations · Full text

Engineering, Whole-slide Imaging, Machine Learning +22