Impact of Different Mammography Systems on Artificial Intelligence Performance in Breast Cancer Screening

         Radiology: Artificial Intelligence, March 2023

Weakly supervised learning & interpretability for endometrial whole slide image diagnosis

          Experimental Biology & Medicine, October 2022

Believe the HiPe: Hierarchical perturbation for fast, robust, and model-agnostic saliency mapping

          Pattern Recognition, May 2022

Unintended Memorisation of Unique Private Features in Neural Networks

          arXiv, May 2022

Development & prospective validation of COVID-19 chest X-Ray screening model for patients attending emergency departments

          Nature Communications, Oct 2021

Prediction of weaning from mechanical ventilation using Convolutional Neural Networks

          Artificial Intelligence in Medicine, July 2021

Survey: Leakage & Privacy at Inference Time

           Cornell University, arXiv.org, July 2021

FocusNet++: Attentive Aggregated Transformations for Efficient & Accurate Medical Image Segmentation

           Cornell University, arXiv.org, April 2021

Assessment of Immunological Features in Muscle-Invasive Bladder Cancer Prognosis Using Ensemble Learning

           Cancers 2021 13(7) 1624, April 2021

Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports

           Machine Learning & Knowledge Extraction 2021 3(2), 299-317, March 2021

Screening participants’ attitudes to the introduction of artificial intelligence in breast screening

           Journal of Medical Screening, March 2021

Tissue-specific Immunopathology in Fatal COVID-19

           American Journal of Respiratory & Critical Care Medicine, 203 (2), Nov 2020

Paying Per-Label Attention for Multi-Label Extraction from Radiology Reports

           Lecture Notes in Computer Science vol 12446, October 2020

Have you forgotten? A method to assess if machine learning models have forgotten data

           Medical Image Computing & Computer Assisted Intervention, October 2020

Using imaging to combat a pandemic: rationale for developing the UK National COVID-19 Chest Imaging Database

           European Respiratory Journal 2020 56(2), August 2020

Guidance for Remote Reporting of Digital Pathology Slides During Periods of Exceptional Service Pressure: An Emergency Response from the UK Royal College of Pathologists

           Journal of Pathology Informatics 2020, Apr 17;11:12, April 2020

Supervised & unsupervised language modelling in Chest X-Ray radiological reports

           PLOS One, April 2020

A systematic review of prognostic models which incorporate imaging data that predict outcomes in rectal cancer

NIHR PROSPERO (Current /ongoing review)