David J. Harrison

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 14

Top Topics

Multiple Instance

Weakly Supervised Learning

Feature Extractor

Top Venues

npj Digit. Medicine

Pattern Recognit.

Publications

Craig Myles, In Hwa Um, David J. Harrison, David Harris-Birtill
Leveraging Foundation Models for Enhanced Detection of Colorectal Cancer Biomarkers in Small Datasets. MIUA (1) (2024)
Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks. WACV (2023)
Georg Wölflein, Dyke Ferber, Asier Rabasco Meneghetti, Omar S. M. El Nahhas, Daniel Truhn, Zunamys I. Carrero, David J. Harrison, Ognjen Arandjelovic, Jakob Nikolas Kather
A Good Feature Extractor Is All You Need for Weakly Supervised Learning in Histopathology. CoRR (2023)
Georg Wölflein, Lucie Charlotte Magister, Pietro Liò, David J. Harrison, Ognjen Arandjelovic
Deep Multiple Instance Learning with Distance-Aware Self-Attention. CoRR (2023)
Haseeb Nazki, Ognjen Arandjelovic, In Hwa Um, David J. Harrison
MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss. SAC (2023)
Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic
Whole-Slide Images and Patches of Clear Cell Renal Cell Carcinoma Tissue Sections Counterstained with Hoechst 33342, CD3, and CD8 Using Multiple Immunofluorescence. Data 8 (2) (2023)
Haseeb Nazki, Ognjen Arandjelovic, In Hwa Um, David J. Harrison
MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss. CoRR (2022)
Jessica Cooper, Ognjen Arandjelovic, David J. Harrison
Believe the HiPe: Hierarchical perturbation for fast, robust, and model-agnostic saliency mapping. Pattern Recognit. 129 (2022)
Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks. CoRR (2022)
Jessica Cooper, Ognjen Arandjelovic, David J. Harrison
Believe The HiPe: Hierarchical Perturbation for Fast and Robust Explanation of Black Box Models. CoRR (2021)
Jessica Cooper, In Hwa Um, Ognjen Arandjelovic, David J. Harrison
Hoechst Is All You Need: Lymphocyte Classification with Deep Learning. CoRR (2021)
Ines P. Nearchou, Bethany M. Gwyther, Elena C. T. Georgiakakis, Christos G. Gavriel, Kate Lillard, Yoshiki Kajiwara, Hideki Ueno, David J. Harrison, Peter D. Caie
Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients. npj Digit. Medicine 3 (2020)
Neofytos Dimitriou, Ognjen Arandjelovic, David J. Harrison, Peter D. Caie
A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis. npj Digit. Medicine 1 (2018)
Nicolas Brieu, Christos G. Gavriel, David J. Harrison, Peter D. Caie, Günter Schmidt
Context-based interpolation of coarse deep learning prediction maps for the segmentation of fine structures in immunofluorescence images. Medical Imaging: Digital Pathology (2018)
Alexander L. R. Lubbock, Elad Katz, David J. Harrison, Ian M. Overton
TMA Navigator: network inference, patient stratification and survival analysis with tissue microarray data. Nucleic Acids Res. 41 (Webserver-Issue) (2013)
Galina Lebedeva, Azusa Yamaguchi, Simon P. Langdon, Kenneth Macleod, David J. Harrison
A model of estrogen-related gene expression reveals non-linear effects in transcriptional response to tamoxifen. BMC Syst. Biol. 6 (2012)