12 citations · 15 across the 5 of their papers we have counts for
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eess.IV2024★ 2 cited
Automatic diagnosis of cardiac magnetic resonance images based on semi-supervised learning
Hejun Huang, Zuguo Chen, Yi Huang +3
Cardiac magnetic resonance imaging (MRI) is a pivotal tool for assessing cardiac function. Precise segmentation of cardiac structures is imperative for accurate cardiac functional…
eess.IV2023★ 12 cited
Channel prior convolutional attention for medical image segmentation
Hejun Huang, Zuguo Chen, Ying Zou +2
Characteristics such as low contrast and significant organ shape variations are often exhibited in medical images. The improvement of segmentation performance in medical imaging is…
eess.IV2022★ 1 cited
Complementary consistency semi-supervised learning for 3D left atrial image segmentation
Hejun Huang, Zuguo Chen, Chaoyang Chen +2
A network based on complementary consistency training, called CC-Net, has been proposed for semi-supervised left atrium image segmentation. CC-Net efficiently utilizes unlabeled da…