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2020 – today
- 2024
[c4]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: 329-343- 2023
- [j6]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): 40 (2023) - [c3]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: 1197-1204 - [c2]Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic:
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks. WACV 2023: 4986-4996 - [i6]Georg Wölflein, Lucie Charlotte Magister, Pietro Liò, David J. Harrison, Ognjen Arandjelovic:
Deep Multiple Instance Learning with Distance-Aware Self-Attention. CoRR abs/2305.10552 (2023) - [i5]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 abs/2311.11772 (2023) - 2022
- [j5]Jessica Cooper, Ognjen Arandjelovic, David J. Harrison:
Believe the HiPe: Hierarchical perturbation for fast, robust, and model-agnostic saliency mapping. Pattern Recognit. 129: 108743 (2022) - [i4]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 abs/2204.09782 (2022) - [i3]Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic:
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks. CoRR abs/2210.06909 (2022) - 2021
- [i2]Jessica Cooper, Ognjen Arandjelovic, David J. Harrison:
Believe The HiPe: Hierarchical Perturbation for Fast and Robust Explanation of Black Box Models. CoRR abs/2103.05108 (2021) - [i1]Jessica Cooper, In Hwa Um, Ognjen Arandjelovic, David J. Harrison:
Hoechst Is All You Need: Lymphocyte Classification with Deep Learning. CoRR abs/2107.04388 (2021) - 2020
- [j4]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)
2010 – 2019
- 2018
- [j3]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) - [c1]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: 105810P - 2013
- [j2]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): 562-568 (2013) - 2012
- [j1]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: 138 (2012)
Coauthor Index
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