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- W2023558690 abstract "One of the most difficult problems in magnetic resonance spectroscopy (MRS) data processing is to separate the targeted chemical compoundspsila signal from a distorted baseline in very noisy data. In this work, we propose a new quantification scheme based on the iterative reduction of interference signal hankel singular value decomposition (IRIS-HSVD) algorithm for accurate, robust and automatic quantification of multidimensional human brain <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>31</sup> P MRS data." @default.
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- W2023558690 date "2008-05-01" @default.
- W2023558690 modified "2023-10-17" @default.
- W2023558690 title "IRIS-HSVD for automatic MRS data quantification" @default.
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- W2023558690 doi "https://doi.org/10.1109/ccece.2008.4564861" @default.
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