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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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Improved YOLOv3 Model for Miniature Camera Detection
The abuse of miniature cameras has severely violated information security and privacy. Several unsolved challenges such as small or …
Jiahao Huang, Haiyang Zhang, Lin Wang, Zilong Zhang, Changming Zhao
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Tiny Camera Detection Technology based on Hyper-spectral Imaging Technology
Aiming at the characteristics of hyper-spectral imaging, a scheme for detecting tiny cameras based on three-dimensional features was …
Lin Wang, Haiyang Zhang, Jiahao Huang, Jiahui Qu, Changming Zhao, Zilong Zhang
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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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