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STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion

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  1. Chapter and Conference Paper

    Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion

    Acute brain diseases such as acute stroke and transit ischemic attacks are the leading causes of mortality and morbidity worldwide, responsible for 9% of total death every year. ‘Time is brain’ is a widely acc...

    Ruogu Fang, Pina C. Sanelli, Shaoting Zhang… in Medical Image Computing and Computer-Assis… (2014)

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  2. Chapter and Conference Paper

    Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion

    Sparse perfusion deconvolution has been recently proposed to effectively improve the image quality and diagnostic accuracy of low-dose perfusion CT by extracting the complementary information from the high-dos...

    Ruogu Fang, Tsuhan Chen, Pina C. Sanelli in Medical Image Computing and Computer-Assis… (2013)

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  3. Chapter and Conference Paper

    Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries

    Computational tomography perfusion (CTP) is an important functional imaging modality in the evaluation of cerebrovascular diseases, such as stroke and vasospasm. However, the post-processed parametric maps of ...

    Ruogu Fang, Tsuhan Chen, Pina C. Sanelli in Medical Image Computing and Computer-Assis… (2012)

    Download PDF (812 KB)