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Learning non-rigid registration in k-space from highly-ac... | ResearchHub
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Learning non-rigid registration in k-space from highly-accelerated cardiac and respiratory MR data
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Authors
Aya Ghoul
4 more
Aya Ghoul
•
Kerstin Hammernik
2 more
•
Thomas Küstner
Published
November 26, 2024
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Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Topics
Computer Science
Artificial Intelligence
Medicine
Internal Medicine
Computer Vision
Show all topics
DOI
10.58530/2024/0752