78 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University College LondonGB16 papers
- King's College LondonGB6 papers
- Wellcome / EPSRC Centre for Interventional and Surgical SciencesGB4 papers
- Cambridge University Hospitals NHS Foundation TrustGB2 papers
- National Hospital for Neurology and NeurosurgeryGB2 papers
- UCL Biomedical Research CentreGB2 papers
- University of OxfordGB2 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
Showing 2024 · cs.CVShow all
2 papers · 2 filters
cs.CV2024★ 14 cited
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…
cs.CV2024★ 13 cited
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…