Titlebook: Smoothing Spline ANOVA Models; Chong Gu Book 2013Latest edition Springer Science+Business Media New York 2013 ANOVA.ANOVA models.Spline sm

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Springer Series in Statisticshttp://image.papertrans.cn/s/image/869161.jpg

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of MRI is long acquisition times, prohibiting its use in standard practice for some applications. Compressed sensing (CS) proposes to subsample the .-space (the Fourier domain dual to the physical space of spatial coordinates) leading to significantly accelerated acquisition. However, the benefit of

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Chong Gure, there is a need for robust reconstruction methods to ensure high image quality. In this paper, we propose a method to automatically correct motion-related artefacts in CMR acquisitions during reconstruction from k-space data. Our method is based on the Automap reconstruction method, which direct

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Chong Guependency on costly databases, unsupervised learning strategies have received interest. A powerful framework that eliminates the need for training data altogether is the deep image prior (DIP). To do this, DIP inverts randomly-initialized models to infer network parameters most consistent with the u

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