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)
  2. Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation (2021)
    Michael Yeung, Evis Sala et al. Computerized Medical Imaging and Graphics

Immediate Impact

15 from Science/Nature 63 standout
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Citing Papers

Frailty in Older Adults
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2 intermediate papers

Works of Michael Yeung 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
Complementing chronic frailty assessment at hospital admission with an electronic frailty index (FI-Laboratory) comprising routine blood test results
2020

Author Peers

Author Last Decade Papers Cites
Michael Yeung 356 204 544 350 71 1.9k
Richard Ha 184 138 961 382 98 2.4k
Narendra N. Khanna 674 412 760 94 115 2.4k
Anton S. Becker 418 188 1334 134 130 2.9k
Milena Gianfrancesco 141 251 285 514 51 2.4k
Nevenka Dimitrova 196 189 132 95 82 2.2k
Johan Verjans 676 136 562 65 61 2.3k
Afshin Mohammadi 82 215 952 89 112 2.0k
Hui Chen 274 363 455 102 202 2.3k
Kenneth A. Philbrick 77 346 500 74 45 1.9k
Zahra Raisi‐Estabragh 618 174 421 103 102 1.8k

All Works

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2026