O
Ouri Cohen
Researcher at Harvard University
Publications - 27
Citations - 528
Ouri Cohen is an academic researcher from Harvard University. The author has contributed to research in topics: Imaging phantom & Magnetic resonance imaging. The author has an hindex of 7, co-authored 22 publications receiving 372 citations. Previous affiliations of Ouri Cohen include Columbia University & New York University.
Papers
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Journal ArticleDOI
MR fingerprinting Deep RecOnstruction NEtwork (DRONE)
TL;DR: A novel fast method for reconstruction of multi‐dimensional MR fingerprinting (MRF) data using deep learning methods and it is shown that this method can be used to solve the challenge of integrating 3D image recognition and 3D handwriting analysis.
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Rapid and quantitative chemical exchange saturation transfer (CEST) imaging with magnetic resonance fingerprinting (MRF).
Ouri Cohen,Shuning Huang,Michael T. McMahon,Michael T. McMahon,Matthew S. Rosen,Christian T. Farrar +5 more
TL;DR: To develop a fast magnetic resonance fingerprinting (MRF) method for quantitative chemical exchange saturation transfer (CEST) imaging.
Journal ArticleDOI
Algorithm comparison for schedule optimization in MR fingerprinting.
Ouri Cohen,Matthew S. Rosen +1 more
TL;DR: This work examines several different optimization algorithms to determine the one best suited for optimizing MR Fingerprinting acquisition schedules.
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CEST MR-Fingerprinting: practical considerations and insights for acquisition schedule design and improved reconstruction
TL;DR: A modified Euclidean distance matching metric was evaluated and compared to traditional dot product matching in this paper, demonstrating that more than a 50% reduction in scan-time can be achieved by EuclIDEan distance-based matching.
Journal ArticleDOI
Optimized inversion‐time schedules for quantitative T1 measurements based on high‐resolution multi‐inversion EPI
Ouri Cohen,Jonathan R. Polimeni +1 more
TL;DR: An optimized multi‐inversion echo‐planar imaging technique to accelerate quantitative T1 mapping by judicious selection of inversion times for each slice is demonstrated.