Web: http://arxiv.org/abs/2209.07030

Sept. 16, 2022, 1:15 a.m. | Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu

cs.CV updates on arXiv.org arxiv.org

Magnetic resonance imaging (MRI) with high resolution (HR) provides more
detailed information for accurate diagnosis and quantitative image analysis.
Despite the significant advances, most existing super-resolution (SR)
reconstruction network for medical images has two flaws: 1) All of them are
designed in a black-box principle, thus lacking sufficient interpretability and
further limiting their practical applications. Interpretable neural network
models are of significant interest since they enhance the trustworthiness
required in clinical practice when dealing with medical images. 2) most
existing …

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