Self-attentive Adversarial Stain Normalization. - Aman Shrivastava; William Adorno; Yash Sharma 002; Lubaina Ehsan; S. Asad Ali; Sean R. Moore; Beatrice C. Amadi; Paul Kelly; Sana Syed; Donald E. Brown (ICPR Workshops (1), 2020)

HistoTransfer: Understanding Transfer Learning for Histopathology. - Yash Sharma 002; Lubaina Ehsan; Sana Syed; Donald E. Brown (BHI, 2021)

Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification. - Yash Sharma 002; Aman Shrivastava; Lubaina Ehsan; Christopher A. Moskaluk; Sana Syed; Donald E. Brown (MIDL, 2021)

Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network. - Yash Sharma 002; Nick Coronato; Donald E. Brown (EMBC, 2022)

MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation. - Yash Sharma 002; Sana Syed; Donald E. Brown (MICCAI (2), 2022)

Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images. - Nazanin Moradinasab; Yash Sharma 002; Laura S. Shankman; Gary K. Owens; Donald E. Brown (MLHC, 2022)

Functional Data Analysis for Predicting Pediatric Failure to Complete Ten Brief Exercise Bouts. - Nick Coronato; Donald E. Brown; Yash Sharma 002; Ronen Bar-Yoseph; Shlomit Radom-Aizik; Dan M. Cooper (IEEE J. Biomed. Health Informatics, 2022)

The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning. - Shan Guleria; Benjamin Schwartz; Yash Sharma 002; Philip Fernandez; James A. Jablonski; Sodiq Adewole; Sanjana Srivastava; Fisher Rhoads; Michael D. Porter; Michelle Yeghyayan; Dylan Hyatt; Andrew Copland; et al. (CoRR, 2023)