Improving parallel imaging by jointly reconstructing multi-contrast data.

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Improving parallel imaging by jointly reconstructing multi-contrast data.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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Improving parallel imaging by jointly reconstructing multi-contrast data.

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Improving parallel imaging by jointly reconstructing multi-contrast data.

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Improving parallel imaging by jointly reconstructing multi-contrast data.

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Improving parallel imaging by jointly reconstructing multi-contrast data.

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Improving parallel imaging by jointly reconstructing multi-contrast data.

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Improving parallel imaging by jointly reconstructing multi-contrast data.

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P1476

Improving parallel imaging by jointly reconstructing multi-contrast data

@en

P2093

Berkin Bilgic

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Justin P Haldar

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Kawin Setsompop

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Lawrence L Wald

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Mary Kate Manhard

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Tae Hyung Kim

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P2860

Generalized autocalibrating partially parallel acquisitions (GRAPPA)

Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components.

Three-dimensional magnetization-prepared rapid gradient-echo imaging (3D MP RAGE).

Reducing sensitivity losses due to respiration and motion in accelerated echo planar imaging by reordering the autocalibration data acquisition

Rapid and accurate T2 mapping from multi-spin-echo data using Bloch-simulation-based reconstruction.

P-LORAKS: Low-rank modeling of local k-space neighborhoods with parallel imaging data.

Water-fat separation with IDEAL gradient-echo imaging.

Multi-shot sensitivity-encoded diffusion data recovery using structured low-rank matrix completion (MUSSELS).

Multiecho reconstruction for simultaneous water-fat decomposition and T2* estimation.

Multipoint Dixon technique for water and fat proton and susceptibility imaging.

P304

619-632

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P31

scholarly article

P356

10.1002/MRM.27076

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P433

http://www.w3.org/2001/XMLSchema#string

P478

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P50

Congyu Liao

P577

2018-01-10T00:00:00Z

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P698

29322551

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P932

5910232

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