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institution

Great Ormond Street Hospital

United Kingdom

16 papers here507 citations across 16
fields
  • eess.IV5
  • q-bio.NC2
  • stat.ME2
  • cs.AI1
  • cs.CL1
  • cs.CV1
  • cs.LG1
  • physics.flu-dyn1
ROR 00zn2c847OpenAlex

affiliations via OpenAlex

output
20132025
most citedWhat Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use

261 citations

researchers with a paper here
  • B. Brown3 · h 26
  • D. Alexander3 · h 86
  • D. Carmichael3 · h 39
  • D. Fernández-Reyes3 · h 23
  • F. D’Arco3 · h 5
  • Hongxiang Lin2 profiles3 · h 10
  • I. Lagunju3 · h 18
  • M. Figini3 · h 8
  • Ryutaro Tanno3 · h 29
  • Stefano B. Blumberg3 · h 12
  • D. Demailly2 · h 6
  • Enrico Kaden2 · h 20
collaborating institutions
  • University College LondonGB15 papers
  • King's College LondonGB3 papers
  • MRC Biostatistics UnitGB3 papers
  • University of CambridgeGB3 papers
  • University of IbadanNG3 papers
  • Guy's and St Thomas' NHS Foundation TrustGB2 papers
  • Hôpital Gui de ChauliacFR2 papers
  • Institut Necker Enfants MaladesFR2 papers
  • University of EdinburghGB2 papers
  • Aarhus University HospitalDK1 paper
  • Ain Shams University HospitalEG1 paper
  • Assistance Publique – Hôpitaux de ParisFR1 paper
Showing physics.flu-dynShow all

1 paper · 1 filter

physics.flu-dyn2022★ 30 cited

Deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields

Endrit Pajaziti, Javier Montalt-Tordera, Claudio Capelli +4

Computational fluid dynamics (CFD) can be used to simulate vascular haemodynamics and analyse potential treatment options. CFD has shown to be beneficial in improving patient outco…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.