Vectorized persistent homology representations for characterizing glandular architecture in histology images. - Deepak Roy Chittajallu; Neal Siekierski; Sanghoon Lee 007; Samuel Gerber; Jonathan D. Beezley; David Manthey; David A. Gutman; Lee Cooper 001 (ISBI, 2018)

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; et al. (Bioinform., 2019)

User friendly, cloud based, whole slide image segmentation. - Brendon Lutnick; Avinash Kammardi Shashiprakash; David Manthey; Pinaki Sarder (Digital Pathology, 2021)

A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy. - Avinash Kammardi Shashiprakash; Brendon Lutnick; Brandon Ginley; Darshana Govind; Nicholas J. Lucarelli; Kuang-Yu Jen; Avi Z. Rosenberg; Anatoly Urisman; Vighnesh Walavalkar; Jonathan E. Zuckerman; Marco Delsante; Mei Lin Z. Bissonnette; et al. (Digital Pathology, 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; et al. (CoRR, 2021)

A cloud-based tool for federated segmentation of whole slide images. - Brendon Lutnick; David Manthey; Jan U. Becker; Jonathan E. Zuckerman; Luis Rodrigues; Kuang Yu Jen; Pinaki Sarder (Digital and Computational Pathology, 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)