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

6 from Science/Nature 67 standout
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Works of Stephan Ursprung 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
Stephan Ursprung 550 160 44 278 240 26 850
Rahul Paul 430 208 51 281 292 41 992
Matteo Interlenghi 531 157 65 242 109 28 876
Vera Sorin 504 198 80 364 428 46 984
Aditya U. Kale 469 91 75 335 411 19 1.0k
Anuj Pareek 510 141 95 467 264 19 1.2k
Mohith Shamdas 437 88 77 334 408 10 978
Shih-Cheng Huang 505 135 40 432 159 17 1.0k
Krzysztof J. Geras 476 112 56 424 104 24 748
Alice Bruynseels 467 86 75 334 408 10 977
Loïc Duron 577 183 59 152 261 31 922

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2026