Please find below publications & studies which have been produced through iCAIRD programme works or contributed to by iCAIRD research collaborators – click on the publication title to access each article
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
Nature Communications, Oct 2021
Prediction of weaning from mechanical ventilation using Convolutional Neural Networks
Artificial Intelligence in Medicine, July 2021
Cornell University, arXiv.org, July 2021
FocusNet++: Attentive Aggregated Transformations for Efficient & Accurate Medical Image Segmentation
Cornell University, arXiv.org, April 2021
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
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
European Respiratory Journal 2020 56(2), August 2020
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
NIHR PROSPERO (Current /ongoing review)