78 citations
- University College LondonGB11 papers
- Cambridge University Hospitals NHS Foundation TrustGB2 papers
- King's College LondonGB2 papers
- UCL Biomedical Research CentreGB2 papers
- Wellcome / EPSRC Centre for Interventional and Surgical SciencesGB2 papers
- Carnegie Mellon UniversityUS1 paper
- Centre for Clinical InterventionsAU1 paper
- Ege UniversityTR1 paper
- Guy's and St Thomas' NHS Foundation TrustGB1 paper
- Keele UniversityGB1 paper
- King's College HospitalGB1 paper
- King's College SchoolGB1 paper
11 papers
Real-time 3D Ultrasonic Needle Tracking with a Photoacoustic Beacon
Christian Baker, Weidong Liang, Richard Colchester +7
Many minimally invasive procedures, such as core needle biopsy of focal liver lesions, nerve blocks, and fetal and vascular interventions, are typically performed under ultrasound…
KEVS: Enhancing Segmentation of Visceral Adipose Tissue in Pre-Cystectomy CT with Gaussian Kernel Density Estimation
Thomas Boucher, Nicholas Tetlow, Annie Fung +5
Purpose: The distribution of visceral adipose tissue (VAT) in cystectomy patients is indicative of the incidence of post-operative complications. Existing VAT segmentation methods…
Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review
Karan Daga, Siddharth Agarwal, Zaeem Moti +5
Purpose: Subarachnoid haemorrhage is a potentially fatal consequence of intracranial aneurysm rupture, however, it is difficult to predict if aneurysms will rupture. Prophylactic t…
Jump stochastic differential equations for the characterisation of the Bragg peak in proton beam radiotherapy
Alastair Crossley, Karen Habermann, Emma Horton +3
Proton beam radiotherapy stands at the forefront of precision cancer treatment, leveraging the unique physical interactions of proton beams with human tissue to deliver minimal dos…
OMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained Slides
Zhuoyan Shen, Mikael Simard, Douglas Brand +14
Mitotic activity is an important feature for grading several cancer types. Counting mitotic figures (MFs) is a time-consuming, laborious task prone to inter-observer variation. Ina…
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
Nur Yildirim, Hannah Richardson, Maria T. Wetscherek +18
Recent advances in AI combine large language models (LLMs) with vision encoders that bring forward unprecedented technical capabilities to leverage for a wide range of healthcare a…