Kieran Zucker

According to our database, Kieran Zucker authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping.

Jack Breen, Katie Allen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar

CoRR, 2024

Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification.

Jack Breen, Katie Allen, Kieran Zucker, Lucy Godson, Nicolas M. Orsi, Nishant Ravikumar

CoRR, 2024

Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping.

Jack Breen, Nishant Ravikumar, Katie Allen, Kieran Zucker, Nicolas M. Orsi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning.

Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nishant Ravikumar, Nicolas M. Orsi

CoRR, 2023

Generative Adversarial Networks for Stain Normalisation in Histopathology.

Jack Breen, Kieran Zucker, Katie Allen, Nishant Ravikumar, Nicolas M. Orsi

CoRR, 2023

Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review.

Jack Breen, Katie S. Allen, Kieran Zucker, Pratik Adusumilli, Andy Scarsbrook, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar

CoRR, 2023

Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs.

Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning.

Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

2021

Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images.

Jack Breen, Kieran Zucker, Nicolas M. Orsi, Geoff Hall, Nishant Ravikumar

CoRR, 2021

Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First Treatment.

Angelina Prima Kurniati, Eric Rojas, Kieran Zucker, Geoff Hall, David C. Hogg, Owen A. Johnson

Proceedings of the Public Health and Informatics, 2021

Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images.

Jack Breen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

AuguR: A Scalable Open-Source Interactive Web Application for Routinely Collected Data.

Kieran Zucker, Millie Wagstaff, Cathy Tomson, Roger Beecham, Geoff Hall

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays.

Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

2019

A Multi-level Approach for Identifying Process Change in Cancer Pathways.

Angelina Prima Kurniati, Ciarán McInerney, Kieran Zucker, Geoff Hall, David C. Hogg, Owen A. Johnson

Proceedings of the Business Process Management Workshops, 2019