Automatic analysis of three-dimensional cardiac tagged magnetic resonance images using neural networks trained on synthetic data
ABSTRACT: Background: Three-dimensional (3D) tagged magnetic resonance (MR) imaging enables in-vivo quantification of cardiac motion. While deep learning methods have been developed to analyze these images, they have been restricted to two-dimensional datasets. We present a deep learning approach s...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Journal of Cardiovascular Magnetic Resonance |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1097664725000316 |
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