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institution

Papworth Hospital

United Kingdom

5 papers here1.2k citations across 5
fields
  • astro-ph1
  • cs.LG1
  • cs.SE1
  • stat.AP1
  • stat.ME1
ROR 05mqgrb58OpenAlex

affiliations via OpenAlex

output
20082026
most citedCommon pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

1k citations

researchers with a paper here
  • Evis Sala2 profiles3 · h 9
  • G. Langs2 · h 3
  • J. Weir-McCall2 · h 6
  • L. E. Sanchez2 · h 5
  • M. Holzer2 · h 10
  • M. Roberts2 · h 11
  • M. Thorpe2 · h 2
  • N. Walton2 profiles2 · h 2
  • A. Biguri1 · h 13
  • Anna Breger1 · h 4
  • Anni Korhonen1 · h 2
  • A. Ruggiero1 · h 0
collaborating institutions
  • University of CambridgeGB5 papers
  • Addenbrooke's HospitalGB2 papers
  • AstraZeneca (United Kingdom)GB2 papers
  • Cambridge University Hospitals NHS Foundation TrustGB2 papers
  • Genomics (United Kingdom)GB2 papers
  • Imperial College LondonGB2 papers
  • Medical University of ViennaAT2 papers
  • University College LondonGB2 papers
  • University of DundeeGB2 papers
  • University of HelsinkiFI2 papers
  • University of ManchesterGB2 papers
  • Boehringer Ingelheim (Germany)DE1 paper
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2020★ 1k cited

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Michael Roberts, Derek Driggs, Matthew Thorpe +13

Machine learning methods offer great promise for fast and accurate detection and prognostication of COVID-19 from standard-of-care chest radiographs (CXR) and computed tomography (…

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