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In Hwa Um
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2020 – today
- 2024
- [c3]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
- [j1]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) - [c2]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 - [c1]Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic:
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks. WACV 2023: 4986-4996 - 2022
- [i3]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) - [i2]Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic:
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks. CoRR abs/2210.06909 (2022) - 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)
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last updated on 2024-10-07 21:18 CEST by the dblp team
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