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20182020
most citedCOVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19

32 citations · 49 across the 3 of their papers we have counts for

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eess.IV2020★ 32 cited

COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19

Guoqing Bao, Huai Chen, Tongliang Liu +4

There is an urgent need for automated methods to assist accurate and effective assessment of COVID-19. Radiology and nucleic acid test (NAT) are complementary COVID-19 diagnosis me…