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 68 standout
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Works of Derek Driggs 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
Derek Driggs 24 5 188 325 227 7 562
Christian Etmann 4 190 339 240 6 622
Friederike Jungmann 1 152 212 282 15 528
Ruchi Singla 140 184 194 10 601
Xianbo Deng 1 76 390 236 15 508
Fnu Amisha 235 177 130 20 577
Paras Malik 235 179 130 23 578
Shinjini Kundu 7 148 139 151 17 609
Matthew B. A. McDermott 1 280 203 243 12 583
Amanullah Asraf 6 51 325 237 4 478
Pranavsingh Dhunnoo 363 232 190 7 594

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2026