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Daniel K. Sodickson

Researcher at New York University

Publications -  267
Citations -  18645

Daniel K. Sodickson is an academic researcher from New York University. The author has contributed to research in topics: Iterative reconstruction & Electromagnetic coil. The author has an hindex of 61, co-authored 258 publications receiving 15371 citations. Previous affiliations of Daniel K. Sodickson include Harvard University & Beth Israel Deaconess Medical Center.

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Parallel imaging in cardiovascular MRI: methods and applications.

TL;DR: Cardiovascular applications of parallel CVMR are reviewed, ranging from cardiac anatomical and functional assessment to myocardial perfusion and viability to MR angiography of the coronary arteries and the large vessels.

Assessment of the generalization of learned image reconstruction and the potential for transfer learning

TL;DR: The goal of this study is to assess the influence of image contrast, SNR, and image content on the generalization of learned image reconstruction, and to demonstrate the potential for transfer learning.
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Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

TL;DR: The 2019 MR image reconstruction challenge as mentioned in this paper provided participants with a dataset of raw k-space data from 1,594 consecutive clinical exams of the knee, and the goal of the challenge was to reconstruct images from these data.
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Dependence of B1+ and B1- Field Patterns of Surface Coils on the Electrical Properties of the Sample and the MR Operating Frequency.

TL;DR: It is demonstrated that the electrical conductivity alters the spatial distribution of distinct polarized components of the field, causing "twisted" transmit and receive field patterns, and asymmetries between [Formula].