In Hwa Um

According to our database, In Hwa Um authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

Multiplex Immunofluorescence and Histopathology Dataset of Cell Cycle-Related Proteins in Renal Cell Carcinoma.

Hazem Abdullah, In Hwa Um, Grant D. Stewart, Alexander Laird, Kathryn Kirkwood, Chang Wook Jeong, Cheol Kwak, Kyung Chul Moon, Tim Eisen, Elena Frangou, Anne Warren, Angela Meade, David J. Harrison

Data, 2026

2025

SurGen: 1020 H&E-stained Whole Slide Images With Survival and Genetic Markers.

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

CoRR, February, 2025

H&E-based MSI/MMR testing with AI in colorectal cancer: a multi-centred blinded evaluation.

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

npj Digit. Medicine, 2025

Leveraging knowledge for explainable AI in personalized cancer treatment: challenges and future directions.

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

Frontiers Digit. Health, 2025

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