Workflow for automatic renal perfusion quantification using ASL‐MRI and machine learning
Author:
Affiliation:
1. Center for Image Sciences University Medical Center Utrecht Utrecht The Netherlands
2. Department of Radiology University Medical Center Utrecht Utrecht The Netherlands
Publisher
Wiley
Subject
Radiology Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.29016
Reference40 articles.
1. Magnetic resonance imaging biomarkers for chronic kidney disease: a position paper from the European Cooperation in Science and Technology Action PARENCHIMA
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3. Consensus-based technical recommendations for clinical translation of renal ASL MRI
4. Renal Perfusion 3-T MR Imaging: A Comparative Study of Arterial Spin Labeling and Dynamic Contrast-enhanced Techniques
5. Arterial spin labeling MRI is able to detect early hemodynamic changes in diabetic nephropathy
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