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 (Business Process Management Workshops, 2019)

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 (MedInfo, 2021)

AuguR: A Scalable Open-Source Interactive Web Application for Routinely Collected Data. - Kieran Zucker; Millie Wagstaff; Cathy Tomson; Roger Beecham; Geoff Hall (MedInfo, 2021)

Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images. - Jack Breen; Kieran Zucker; Nicolas M. Orsi; Nishant Ravikumar (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First Treatment. - Angelina Prima Kurniati; Eric Rojas 001; Kieran Zucker; Geoff Hall; David C. Hogg; Owen A. Johnson (MIE, 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)

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 (Digital and Computational Pathology, 2023)

Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs. - Rachael Harkness; Alejandro F. Frangi; Kieran Zucker; Nishant Ravikumar (Image Processing, 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)

Generative Adversarial Networks for Stain Normalisation in Histopathology. - Jack Breen; Kieran Zucker; Katie Allen; Nishant Ravikumar; Nicolas M. Orsi (CoRR, 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)

Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping. - Jack Breen; Nishant Ravikumar; Katie Allen; Kieran Zucker; Nicolas M. Orsi (ISBI, 2024)

Multi-resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping. - Jack Breen; Katie Allen; Kieran Zucker; Nicolas M. Orsi; Nishant Ravikumar (GRAIL@MICCAI, 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)

Can Diffusion Models Bridge the Domain Gap in Cardiac MR Imaging? - Xin Ci Wong; Duygu Sarikaya; Kieran Zucker; Marc De Kamps; Nishant Ravikumar (CoRR, 2025)