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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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21#
發(fā)表于 2025-3-25 04:42:53 | 只看該作者
Springer Series in Statisticshttp://image.papertrans.cn/s/image/869161.jpg
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發(fā)表于 2025-3-25 07:41:57 | 只看該作者
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發(fā)表于 2025-3-25 12:51:22 | 只看該作者
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
24#
發(fā)表于 2025-3-25 16:44:41 | 只看該作者
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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發(fā)表于 2025-3-25 22:54:10 | 只看該作者
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發(fā)表于 2025-3-26 02:38:26 | 只看該作者
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發(fā)表于 2025-3-26 06:52:09 | 只看該作者
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發(fā)表于 2025-3-26 12:08:52 | 只看該作者
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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發(fā)表于 2025-3-26 15:28:00 | 只看該作者
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發(fā)表于 2025-3-26 19:11:46 | 只看該作者
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