Deep‐Learning Super‐Resolution MRI: Getting Something From Nothing
Author:
Affiliation:
1. The Department of RadiologyMcGill University, Montreal Québec Canada
Publisher
Wiley
Subject
Radiology, Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.26939
Reference5 articles.
1. Artificial intelligence in radiology: Hype or hope?;Massat MB;Appl Radiol,2018
2. Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers
3. Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network
4. MRI super‐resolution reconstruction for MRI‐guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown translation model
5. Applications of a deep learning method for anti-aliasing and super-resolution in MRI
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