Magnetic resonance fingerprinting
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DOI: 10.1038/nature11971
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Cited by:
- Christos G Xanthis & Anthony H Aletras, 2019. "coreMRI: A high-performance, publicly available MR simulation platform on the cloud," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-26, May.
- Nikita Sushentsev & Joshua D Kaggie & Rhys A Slough & Bruno Carmo & Tristan Barrett, 2021. "Reproducibility of magnetic resonance fingerprinting-based T1 mapping of the healthy prostate at 1.5 and 3.0 T: A proof-of-concept study," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-13, January.
- Ziyue Wu & Weiyi Chen & Krishna S Nayak, 2016. "Minimum Field Strength Simulator for Proton Density Weighted MRI," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-15, May.
- Viktor Vegh & Shahrzad Moinian & Qianqian Yang & David C. Reutens, 2021. "Fractional Order Magnetic Resonance Fingerprinting in the Human Cerebral Cortex," Mathematics, MDPI, vol. 9(13), pages 1-21, July.
- Gastao Cruz & Torben Schneider & Tom Bruijnen & Andreia S Gaspar & René M Botnar & Claudia Prieto, 2018. "Accelerated magnetic resonance fingerprinting using soft-weighted key-hole (MRF-SOHO)," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-18, August.
- Selma Metzner & Gerd Wübbeler & Clemens Elster, 2019. "Approximate large-scale Bayesian spatial modeling with application to quantitative magnetic resonance imaging," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(3), pages 333-355, September.
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