Jiahao Huang
Jiahao Huang
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Generative Adversarial Networks
ViGU: Vision GNN U-Net for fast MRI
Deep learning models have been widely applied for fast MRI. The majority of existing deep learning models, e.g., convolutional neural …
Jiahao Huang
,
Angelica I. Aviles-Rivero
,
Carola-Bibiane Schönlieb
,
Guang Yang
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Fast MRI Reconstruction: How Powerful Transformers Are?
Magnetic resonance imaging (MRI) is a widely used non-radiative and non-invasive method for clinical interro-gation of organ structures …
Jiahao Huang
,
Yinzhe Wu
,
Huanjun Wu
,
Guang Yang
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Edge-enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information
In clinical medicine, magnetic resonance imaging (MRI) is one of the most important tools for diagnosis, triage, prognosis, and …
Jiahao Huang
,
Weiping Ding
,
Jun Lv
,
Jingwen Yang
,
Hao Dong
,
Javier Del Ser
,
Jun Xia
,
Tiaojuan Ren
,
Stephen T. Wong
,
Guang Yang
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FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-resolution
High-resolution magnetic resonance images can provide fine-grained anatomical information, but acquiring such data requires a long …
Mingfeng Jiang
,
Minghao Zhi
,
Liying Wei
,
Xiaocheng Yang
,
Jucheng Zhang
,
Yongming Li
,
Pin Wang
,
Jiahao Huang
,
Guang Yang
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Transfer Learning Enhanced Generative Adversarial Networks for Multi-channel MRI Reconstruction
Deep learning based generative adversarial networks (GAN) can effectively perform image reconstruction with under-sampled MR data. In …
Jun Lv
,
Guangyuan Li
,
Xiangrong Tong
,
Weibo Chen
,
Jiahao Huang
,
Chengyan Wang
,
Guang Yang
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