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 · 1.1K citations · Full text

Computing, Computer Science, Oncology +17

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 · 107 citations · Full text

Computing, Computer Science, Pathology +16

Predicting cancer outcomes from histology and genomics using convolutional networks

Pooya Mobadersany, Safoora Yousefi, Mohamed Amgad et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2017 · 45 citations · Full text

Computing, Computer Science, Oncology +17

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 · 40 citations · Full text

Computing, Computer Science, Obstetrics +16

Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers

Sanghoon Lee, Mohamed Amgad, Pooya Mobadersany et al. · Cancer Research · 2020 · 31 citations · Full text

Computing, Computer Science, Pathology +17