Accelerating <scp>2D</scp> Kidney Magnetic Resonance Fingerprinting Using Deep Learning Based Tissue Quantification
Authors
- Huay Din
- Mark A. Griswold (ORCID: https://orcid.org/0000-0002-3011-6747)
- Jessie Sun (ORCID: https://orcid.org/0000-0003-4659-9883)
- Pew‐Thian Yap (ORCID: https://orcid.org/0000-0003-1489-2102)
- Sree Harsha Tirumani
- Chris A. Flask (ORCID: https://orcid.org/0000-0002-1066-333X)
- Christina J. MacAskill (ORCID: https://orcid.org/0000-0003-0023-0044)
- Yong Chen (ORCID: https://orcid.org/0000-0001-6183-2693)
Institutions
- University of North Carolina at Chapel Hill (US)
- University Hospitals of Cleveland (US)
- Case Western Reserve University (US)
Publication Details
- Journal
- Journal of Magnetic Resonance Imaging
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1002/jmri.70150
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Siemens Healthineers
- National Institutes of Health