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JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2017)
Science and data science
David M. Blei et al.
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Denoising of diffusion MRI using random matrix theory
Jelle Veraart et al.
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ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data
Raimon H. R. Pruim et al.
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David L. Raunig et al.
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Steven Kay et al.
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Yashar Behzadi et al.
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Image quality assessment: From error visibility to structural similarity
Z Wang et al.
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YY Zhang et al.
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