Hoechst Is All You Need: Lymphocyte Classification with Deep Learning. - Jessica Cooper; In Hwa Um; Ognjen Arandjelovic; David J. Harrison (CoRR, 2021)

MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss. - Haseeb Nazki; Ognjen Arandjelovic; In Hwa Um; David J. Harrison (SAC, 2023)

HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks. - Georg Wölflein; In Hwa Um; David J. Harrison; Ognjen Arandjelovic (WACV, 2023)

Whole-Slide Images and Patches of Clear Cell Renal Cell Carcinoma Tissue Sections Counterstained with Hoechst 33342, CD3, and CD8 Using Multiple Immunofluorescence. - Georg Wölflein; In Hwa Um; David J. Harrison; Ognjen Arandjelovic (Data, 2023)

Leveraging Foundation Models for Enhanced Detection of Colorectal Cancer Biomarkers in Small Datasets. - Craig Myles; In Hwa Um; David J. Harrison; David Harris-Birtill (MIUA (1), 2024)

SurGen: 1020 H&E-stained Whole Slide Images With Survival and Genetic Markers. - Craig Myles; In Hwa Um; Craig Marshall; David Harris-Birtill; David J. Harrison (CoRR, 2025)