Kieran Zucker

19 papers B 1Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Can Diffusion Models Bridge the Domain Gap in Cardiac MR Imaging?
CoRR
Xin Ci Wong, Duygu Sarikaya, Kieran Zucker, Marc de Kamps, Nishant Ravikumar
2024 J jnl
Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification.
CoRR
Jack Breen, Katie Allen, Kieran Zucker, Lucy Godson, Nicolas M. Orsi, Nishant Ravikumar
2024 J jnl
Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping.
CoRR
Jack Breen, Katie Allen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
2024 — conf
Multi-resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping.
GRAIL@MICCAI
Jack Breen, Katie Allen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
2024 — conf
Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping.
ISBI
Jack Breen, Nishant Ravikumar, Katie Allen, Kieran Zucker, Nicolas M. Orsi
2023 J jnl
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review.
CoRR
Jack Breen, Katie S. Allen, Kieran Zucker, Pratik Adusumilli, Andy Scarsbrook, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar
2023 — conf
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning.
Digital and Computational Pathology
Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar
2023 J jnl
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning.
CoRR
Jack Breen, Katie S. Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar
2023 J jnl
Generative Adversarial Networks for Stain Normalisation in Histopathology.
CoRR
Jack Breen, Kieran Zucker, Katie Allen, Nishant Ravikumar, Nicolas M. Orsi
2023 J jnl
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs.
CoRR
Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar
2023 B conf
Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs.
Image Processing
Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar
2023 J jnl
Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning.
CoRR
Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nishant Ravikumar, Nicolas M. Orsi
2021 — conf
Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images.
MIDOG/MOOD/Learn2Reg@MICCAI
Jack Breen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
2021 J jnl
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images.
CoRR
Jack Breen, Kieran Zucker, Nicolas M. Orsi, Geoff Hall, Nishant Ravikumar
2021 — conf
AuguR: A Scalable Open-Source Interactive Web Application for Routinely Collected Data.
MedInfo
Kieran Zucker, Millie Wagstaff, Cathy Tomson, Roger Beecham, Geoff Hall
2021 — conf
Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First Treatment.
MIE
Angelina Prima Kurniati, Eric Rojas, Kieran Zucker, Geoff Hall, David C. Hogg, Owen A. Johnson
2021 — conf
The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays.
MedInfo
Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker
2021 J jnl
The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays.
CoRR
Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker
2019 — conf
A Multi-level Approach for Identifying Process Change in Cancer Pathways.
Business Process Management Workshops
Angelina Prima Kurniati, Ciarán McInerney, Kieran Zucker, Geoff Hall, David C. Hogg, Owen A. Johnson