67 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of EdinburghGB7 papers
- Heriot-Watt UniversityGB2 papers
- UK Dementia Research InstituteGB2 papers
- Andrews UniversityUS1 paper
- Brunel University of LondonGB1 paper
- Centre for Inflammation ResearchGB1 paper
- Clausthal University of TechnologyDE1 paper
- Daresbury LaboratoryGB1 paper
- LaVision (United Kingdom)GB1 paper
- Maxwell Institute for Mathematical SciencesGB1 paper
- National Institute for Health and Care ResearchGB1 paper
- NIHR Biomedical Research Centre at The Royal Marsden and the ICRGB1 paper
9 papers
Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans
Benjamin Jin, Grant Mair, Joanna M. Wardlaw +1
Vision Transformers (ViTs) have gained significant popularity in the natural image domain but have been less successful in 3D medical image segmentation. Nevertheless, 3D ViTs are…
Explainability Through Human-Centric Design for XAI in Lung Cancer Detection
Amy Rafferty, Rishi Ramaesh, Ajitha Rajan
Deep learning models have shown promise in lung pathology detection from chest X-rays, but widespread clinical adoption remains limited due to opaque model decision-making. In prio…
Retuve: Automated Multi-Modality Analysis of Hip Dysplasia with Open Source AI
Adam McArthur, Stephanie Wichuk, Stephen Burnside +5
Developmental dysplasia of the hip (DDH) poses significant diagnostic challenges, hindering timely intervention. Current screening methodologies lack standardization, and AI-driven…
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models
Amy Rafferty, Rishi Ramaesh, Ajitha Rajan
Deep learning models for medical image classification tasks are becoming widely implemented in AI-assisted diagnostic tools, aiming to enhance diagnostic accuracy, reduce clinician…
SurGen: 1020 H&E-stained Whole Slide Images With Survival and Genetic Markers
Craig Myles, In Hwa Um, Craig Marshall +2
Cancer remains one of the leading causes of morbidity and mortality worldwide. Comprehensive datasets that combine histopathological images with genetic and survival data across va…
Pre-processing and quality control of large clinical CT head datasets for intracranial arterial calcification segmentation
Benjamin Jin, Maria del C. Valdés Hernández, Alessandro Fontanella +6
As a potential non-invasive biomarker for ischaemic stroke, intracranial arterial calcification (IAC) could be used for stroke risk assessment on CT head scans routinely acquired f…
Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays
Amy Rafferty, Rishi Ramaesh, Ajitha Rajan
Deep learning models show significant potential for advancing AI-assisted medical diagnostics, particularly in detecting lung cancer through medical image modalities such as chest…
Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks
Josh Williams, Haavard Ahlqvist, Alexander Cunningham +7
For the one billion sufferers of respiratory disease, managing their disease with inhalers crucially influences their quality of life. Generic treatment plans could be improved wit…
Face Coverings, Aerosol Dispersion and Mitigation of Virus Transmission Risk
I. M. Viola, B. Peterson, G. Pisetta +17
The SARS-CoV-2 virus is primarily transmitted through virus-laden fluid particles ejected from the mouth of infected people. Face covers can mitigate the risk of virus transmission…