Standout Papers

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using... 2020 2026 2022 2024513
  1. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans (2020)
    Michael Roberts, Derek Driggs et al. Research Explorer (The University of Manchester)

Immediate Impact

1 by Nobel laureates 5 from Science/Nature 61 standout
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Works of Lucian Beer being referenced

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
2020 Standout

Author Peers

Author Last Decade Papers Cites
Lucian Beer 718 322 346 78 1.8k
Peter Chang 1219 363 393 69 2.3k
Lisa C. Adams 662 291 241 122 1.9k
Benjamin H. Kann 866 483 161 91 2.0k
Alessandro Ruggiero 499 339 449 46 1.7k
Daniel Chow 1347 423 151 92 2.5k
Johan Verjans 562 296 547 61 2.3k
Shijun Wang 712 408 184 59 1.6k
Kenji Hirata 1343 613 201 164 2.6k
Ronilda Lacson 780 379 283 104 1.6k
Brandon D. Gallas 786 492 171 77 1.6k

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2026