5 citations · 8 across the 9 of their papers we have counts for
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cs.CV2023
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation
Jiesi Hu, Yanwu Yang, Xutao Guo +2
Source-free domain adaptation (SFDA) aims to adapt models trained on a labeled source domain to an unlabeled target domain without the access to source data. In medical imaging sce…
eess.IV2023★ 5 cited
NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation
Pengcheng Shi, Xutao Guo, Yanwu Yang +2
Convolutional neural networks (CNN) and Transformer variants have emerged as the leading medical image segmentation backbones. Nonetheless, due to their limitations in either prese…
eess.IV2023
DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features
Jiesi Hu, Yanwu Yang, Xutao Guo +1
Since 2019, coronavirus Disease 2019 (COVID-19) has been widely spread and posed a serious threat to public health. Chest Computed Tomography (CT) holds great potential for screeni…