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20212025
most citedFree-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation

1 citations · 2 across the 4 of their papers we have counts for

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eess.IV2021

Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT

Mengqiu Liu, Ying Liu, Yidong Yang +8

Background: Triage of patients is important to control the pandemic of coronavirus disease 2019 (COVID-19), especially during the peak of the pandemic when clinical resources becom…

eess.IV2021★ 1 cited

Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network

Chengyijue Fang, Yingao Liu, Mengqiu Liu +5

COVID-19 has become a global pandemic and is still posing a severe health risk to the public. Accurate and efficient segmentation of pneumonia lesions in CT scans is vital for trea…