David J. Harrison
Orcid: 0000-0001-9041-9988
According to our database1,
David J. Harrison
authored at least 13 papers
between 2012 and 2023.
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Bibliography
2023
Whole-Slide Images and Patches of Clear Cell Renal Cell Carcinoma Tissue Sections Counterstained with Hoechst 33342, CD3, and CD8 Using Multiple Immunofluorescence.
Data, February, 2023
A Good Feature Extractor Is All You Need for Weakly Supervised Learning in Histopathology.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
2022
Believe the HiPe: Hierarchical perturbation for fast, robust, and model-agnostic saliency mapping.
Pattern Recognit., 2022
2021
Believe The HiPe: Hierarchical Perturbation for Fast and Robust Explanation of Black Box Models.
CoRR, 2021
2020
Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients.
npj Digit. Medicine, 2020
2018
A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis.
npj Digit. Medicine, 2018
Context-based interpolation of coarse deep learning prediction maps for the segmentation of fine structures in immunofluorescence images.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
2013
TMA Navigator: network inference, patient stratification and survival analysis with tissue microarray data.
Nucleic Acids Res., 2013
2012
A model of estrogen-related gene expression reveals non-linear effects in transcriptional response to tamoxifen.
BMC Syst. Biol., 2012