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2020 – today
- 2025
[j8]Emilia Daghir-Wojtkowiak, Javier Antonio Alfaro, Michele Mastromattei, Aleksander Palkowski, Mark Stares, Ana Roca-Umbert, Andraz Krajnc, Riccardo Leoni, Anne Boland, Aria Nourbaksh, Ashwin Adrian Kallor, Camille Ducki, Davide Venditti, Carla Montesano, Chiara Cipriani, Daniel Faria, Delphine Pflieger
, Elisa Zago, Etienne Bardet, Filipa Serrano, Florian Jeanneret, Damien Alouges, Liangwei Yin, Elodine Coquelet, Apolline Bacquet, Francesco Bonchi, Francesco Maiorino, Francesco Torino, Georges Bedran, Jean-Alexandre Long, Laura Balbi, Laurent Guyon, Liana Bevilacqua, Manuel Fiorelli, Marie-Catherine Wagner, Mario Reyes, Mario Roselli, Marta Contreiras Silva, Michal Waleron, Nikolas Dovrolis, Odile Filhol-Cochet, In Hwa Um, Georg Wölflein, Patrícia Eugénio, Pauline Bazelle, Pavlos Golnas, Peter Thorpe, Pierluigi Bove, Piyush Borole, Roberta Bernardini, Rohit Kumar, Rosella Cicconi, Saskia Kaltenbrunner, Saverio Gravina, Simona Brezar, Stefan Symeonides, Steven McGinn, Susana Nunes, Ted Hupp, Yuri G. Gordienko, Dimitrios Varvaras, Sergii G. Stirenko, Luciano Xumerle, Stefania Mariani, Assilah Bouzit, Stéphane Gazut, Heiko Poth, Kyriakos Souliotis, Hector Katifelis, Elena Verzoni, Giuseppe Procopio, Sarah Schoch, Francisco Lupiáñez-Villanueva, Sandra Türk, Katarzyna Barud, Dimitri Koroliouk, Juan Caubet, Yamir Moreno, Jean-Luc Descotes, Christina Golna, Valentina Guadalupi, Paolo Garagnani, Maria Gazouli, Jean-François Deleuze, Frans Folkvord, Nikolaus Forgó, David J. Harrison, Håkan Axelson, Armando Stellato, Maurizio Mattei, Ajitha Rajan, Alexander Laird, Christophe Battail, Catia Pesquita, Fabio Massimo Zanzotto:
Leveraging knowledge for explainable AI in personalized cancer treatment: challenges and future directions. Frontiers Digit. Health 7 (2025)- [j7]Cher Bass, Foivos Ntelemis, Julian Schmidt, Steffen Wolf, André Geraldes, Debapriya Mehrotra, Shikha Singhal, Narender Kumar, Angelica Marcia, Nicholas Bennett, Oscar Maiques, Mitchell Hyde, Bejal Mistry, Grace Rogerson, Michele Cummings, Clare Freer, Elizabeth Walsh, Manuel Salto-Tellez, Maurice B. Loughrey, In Hwa Um, David J. Harrison, Richard Clarkson, James Blackwood, J. Carl Barrett, Jakob Nikolas Kather, Nicolas M. Orsi, Pahini Pandya, Salim Arslan:
H&E-based MSI/MMR testing with AI in colorectal cancer: a multi-centred blinded evaluation. npj Digit. Medicine 9(1) (2025) - [i7]Craig Myles, In Hwa Um, Craig Marshall, David Harris-Birtill, David J. Harrison:
SurGen: 1020 H&E-stained Whole Slide Images With Survival and Genetic Markers. CoRR abs/2502.04946 (2025) - 2024
- [c5]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 Pathology Slide Classification. ECCV Workshops (16) 2024: 68-87 - [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. 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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