output
20182025
most citedIterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation

45 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2020Show all

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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…