32 citations · 41 across the 2 of their papers we have counts for
2 papers
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…
cs.CV2020★ 9 cited
Depthwise Multiception Convolution for Reducing Network Parameters without Sacrificing Accuracy
Guoqing Bao, Manuel B. Graeber, Xiuying Wang
Deep convolutional neural networks have been proven successful in multiple benchmark challenges in recent years. However, the performance improvements are heavily reliant on increa…