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Super-resolution application of GAN on brain time-of-flight MR angiography

European Society of Radiology: AI

GAN could be a promising approach for obtaining higher resolution TOF-MRA from images scanned in a fraction of time. With optimally adjusted training parameters, the GAN model did not degrade diagnostic performance by generating substantial false positives or false negatives.

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Deep learning image reconstruction improves DECT image quality

European Society of Radiology: AI

Article: Deep learning image reconstruction algorithm reduces image noise while alters radiomics features in dual-energy CT in comparison with conventional iterative reconstruction algorithms: a phantom study Authors: Jingyu Zhong, Yihan Xia, Yong Chen, Jianying Li, Wei Lu, Xiaomeng Shi, Jianxing Feng, Fuhua Yan, Weiwu Yao & Huan Zhang

Imaging 52
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