Clare Verrill

According to our database, Clare Verrill authored at least 12 papers between 2018 and 2026.

Collaborative distances:

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

2026

Distilling Knowledge from Multiple Foundation Models for Accurate and Efficient Spatial Gene Expression Prediction.

Zexi Li, Bin Li, Yang Hu, Jens Rittscher, Clare Verrill

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Histology-informed tiling of whole tissue sections improves the interpretability and predictability of cancer relapse and genetic alterations.

Willem Bonnaffé, Yang Hu, Andrea Chatrian, Mengran Fan, Stefano Malacrino, Sandy Figiel, CRUK ICGC Prostate Group, Srinivasa R. Rao, Richard Colling, Richard J. Bryant, Freddie C. Hamdy, Dan J. Woodcock, Ian Mills, Clare Verrill, Jens Rittscher

CoRR, November, 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, Kezia Gaitskell, Enric Domingo, Willem Bonnaffé, Marta Wojciechowska, Ruby Wood, Nasullah Khalid Alham, Stefano Malacrino, Dan J. Woodcock, Clare Verrill, Ahmed Ahmed, Jens Rittscher

Medical Image Anal., 2025

A deployment safety case for AI-assisted prostate cancer diagnosis.

Yan Jia, Clare Verrill, Kieron White, Monica Dolton, Margaret Horton, Mufaddal Jafferji, Ibrahim Habli

Comput. Biol. Medicine, 2025

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., December, 2024

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2019

Towards the Identification of Histology Based Subtypes in Prostate Cancer.

Andrea Chatrian, Korsuk Sirinukunwattana, Clare Verrill, Jens Rittscher

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Ink Removal from Histopathology Whole Slide Images by Combining Classification, Detection and Image Generation Models.

Sharib Ali, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Improving Whole Slide Segmentation Through Visual Context - A Systematic Study.

Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018