In Hwa Um

According to our database, In Hwa Um authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Leveraging Foundation Models for Enhanced Detection of Colorectal Cancer Biomarkers in Small Datasets.

Craig Myles, In Hwa Um, David J. Harrison, David Harris-Birtill

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

2023

Whole-Slide Images and Patches of Clear Cell Renal Cell Carcinoma Tissue Sections Counterstained with Hoechst 33342, CD3, and CD8 Using Multiple Immunofluorescence.

Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic

Data, February, 2023

HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks.

Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic

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.

Haseeb Nazki, Ognjen Arandjelovic, In Hwa Um, David J. Harrison

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

2021

Hoechst Is All You Need: Lymphocyte Classification with Deep Learning.

Jessica Cooper, In Hwa Um, Ognjen Arandjelovic, David J. Harrison

CoRR, 2021