Kieran Zucker

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Histopathology Images

Multiple Instance

Top Venues

Medical Imaging: Image Processing

Publications

Jack Breen, Katie Allen, Kieran Zucker, Lucy Godson, Nicolas M. Orsi, Nishant Ravikumar
Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification. CoRR (2024)
Jack Breen, Katie Allen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping. CoRR (2024)
Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs. CoRR (2023)
Jack Breen, Katie Allen, Kieran Zucker, Pratik Adusumilli, Andy Scarsbrook, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review. CoRR (2023)
Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar
Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs. Medical Imaging: Image Processing (2023)
Jack Breen, Kieran Zucker, Katie Allen, Nishant Ravikumar, Nicolas M. Orsi
Generative Adversarial Networks for Stain Normalisation in Histopathology. CoRR (2023)
Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning. CoRR (2023)
Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nishant Ravikumar, Nicolas M. Orsi
Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning. CoRR (2023)
Jack Breen, Kieran Zucker, Nicolas Orsi, Geoff Hall, Nishant Ravikumar
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images. CoRR (2021)
Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker
The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays. MedInfo (2021)
Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker
The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays. CoRR (2021)
Jack Breen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Angelina Prima Kurniati, Eric Rojas, Kieran Zucker, Geoff Hall, David C. Hogg, Owen A. Johnson
Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First Treatment. MIE (2021)
Kieran Zucker, Millie Wagstaff, Cathy Tomson, Roger Beecham, Geoff Hall
AuguR: A Scalable Open-Source Interactive Web Application for Routinely Collected Data. MedInfo (2021)
Angelina Prima Kurniati, Ciarán McInerney, Kieran Zucker, Geoff Hall, David C. Hogg, Owen A. Johnson
A Multi-level Approach for Identifying Process Change in Cancer Pathways. Business Process Management Workshops (2019)