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institution

University College London Hospitals NHS Foundation Trust

United Kingdom

16 papers here287 citations across 16
fields
  • cs.CV5
  • eess.IV5
  • physics.med-ph3
  • cs.AI1
  • cs.HC1
  • cs.LG1
ROR 042fqyp44OpenAlex

affiliations via OpenAlex

output
20052026
most citedMultimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology

78 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Yipeng Hu5 · h 34
  • D. Barratt4 · h 40
  • Qianye Yang3 · h 16
  • Yunguan Fu3 · h 13
  • F. Giganti2 · h 41
  • J. Noble2 · h 56
  • Joseph Jacob2 profiles2 · h 11
  • Mark A. Pinnock2 · h 5
  • N. Ghavami2 · h 10
  • Shaheer U. Saeed2 · h 10
  • S. Ourselin2 · h 115
  • T. Vercauteren2 · h 30
collaborating institutions
  • 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 2018Show all

1 paper · 1 filter

cs.CV2018★ 9 cited

Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions

Zach Eaton-Rosen, Felix Bragman, Sotirios Bisdas +2

Automated medical image segmentation, specifically using deep learning, has shown outstanding performance in semantic segmentation tasks. However, these methods rarely quantify the…

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