Standout Papers

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China... 2021 2026 2022 2024150
  1. Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan (2021)
    Dong Yang, Ziyue Xu et al. Medical Image Analysis

Immediate Impact

2 from Science/Nature 68 standout
Sub-graph 1 of 22

Citing Papers

AI for science: Predicting infectious diseases
2024 Standout
Mechanisms of long COVID and the path toward therapeutics
2024 Standout
2 intermediate papers

Works of Hirofumi Obinata being referenced

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
2021 Standout
Clinical characteristics of COVID-19 in 104 people with SARS-CoV-2 infection on the Diamond Princess cruise ship: a retrospective analysis
2020

Author Peers

Author Last Decade Papers Cites
Hirofumi Obinata 176 91 111 120 17 456
Matthew A. Summers 67 77 73 87 16 511
Krunal Pandav 101 54 54 39 36 465
Kenji Ikemura 109 53 96 96 13 382
Jessica K. De Freitas 213 105 42 38 11 480
Tianxiao Zhang 75 22 198 147 11 389
Jichan Shi 184 61 166 93 21 406
Kao-Jung Chang 82 42 143 29 21 447
Jun Zhou 212 74 139 19 21 479
Arash Mahdavi 73 26 175 24 24 378
Michelle Stram 89 107 31 43 15 388

All Works

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2026