Improving Whole Slide Segmentation Through Visual Context - A Systematic Study. - Korsuk Sirinukunwattana; Nasullah Khalid Alham; Clare Verrill; Jens Rittscher (MICCAI (2), 2018)

Ink Removal from Histopathology Whole Slide Images by Combining Classification, Detection and Image Generation Models. - Sharib Ali; Nasullah Khalid Alham; Clare Verrill; Jens Rittscher (ISBI, 2019)

Towards the Identification of Histology Based Subtypes in Prostate Cancer. - Andrea Chatrian; Korsuk Sirinukunwattana; Clare Verrill; Jens Rittscher (ISBI, 2019)

A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples. - Natalia Garcia Martin; Stefano Malacrino; Marta Wojciechowska; Leticia Campo; Helen Jones; David C. Wedge; Chris Holmes; Korsuk Sirinukunwattana; Heba Sailem; Clare Verrill; Jens Rittscher (EMBC, 2022)

Predicting Molecular Traits from Tissue Morphology Through Self-interactive Multi-instance Learning. - Yang Hu; Korsuk Sirinukunwattana; Kezia Gaitskell; Ruby Wood; Clare Verrill; Jens Rittscher (MICCAI (2), 2022)

Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models. - Willem Bonnaffé; CRUK ICGC Prostate Group; Freddie Hamdy; Yang Hu; Ian Mills; Jens Rittscher; Clare Verrill; Dan J. Woodcock (CoRR, 2023)

Characterising borderline areas in bladder tumour grading with Bayesian graph neural networks. - Shangqi Gao; Lisa Browning; Nasullah Khalid Alham; Andrew Protheroe; Keir Edwards; Josh Hamblin; Jens Rittscher; Clare Verrill (ISBI, 2024)

Everyday Diagnostic Work in the Histopathology Lab: CSCW Perspectives on the Utilization of Data-Driven Clinical Decision Support Systems. - Rob Procter; Mark Rouncefield; Peter Tolmie; Clare Verrill (Comput. Support. Cooperative Work., 2024)

A deployment safety case for AI-assisted prostate cancer diagnosis. - Yan Jia 008; Clare Verrill; Kieron White; Monica Dolton; Margaret Horton; Mufaddal Jafferji; Ibrahim Habli (Comput. Biol. Medicine, 2025)

Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology. - Yang Hu; Korsuk Sirinukunwattana; Bin Li 064; Kezia Gaitskell; Enric Domingo; Willem Bonnaffé; Marta Wojciechowska; Ruby Wood; Nasullah Khalid Alham; Stefano Malacrino; Dan J. Woodcock; Clare Verrill; et al. (Medical Image Anal., 2025)