Lu Huang

most citedThe Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN

4 citations · 5 across the 2 of their papers we have counts for

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eess.IV2024★ 1 cited

Deep-learning-based groupwise registration for motion correction of cardiac $T_{1}$ mapping

Yi Zhang, Yidong Zhao, Lu Huang +2

Quantitative $T_{1}$ mapping by MRI is an increasingly important tool for clinical assessment of cardiovascular diseases. The cardiac $T_{1}$ map is derived by fitting a known signal m…

eess.IV2019★ 4 cited

The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN

Wenjun Yan, Yuanyuan Wang, Shengjia Gu +4

Convolutional neural network (CNN), in particular the Unet, is a powerful method for medical image segmentation. To date Unet has demonstrated state-of-art performance in many comp…

Deep-learning-based groupwise registration for motion correction of cardiac T1​ mapping

The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN

Deep-learning-based groupwise registration for motion correction of cardiac $T_{1}$ mapping