计算机科学
培训(气象学)
人工智能
物理
气象学
作者
Н. М. Яковлев,Florian Schiffers,S. Tapia,Daming Shen,Kyungpyo Hong,Michael Markl,Daniel Lee,Aggelos K. Katsaggelos,Daniel Kim
标识
DOI:10.1109/tbme.2024.3443635
摘要
Highly-undersampled, dynamic MRI reconstruction, particularly in multi-coil scenarios, is a challenging inverse problem. Unrolled networks achieve state-of-the-art performance in MRI reconstruction but suffer from long training times and extensive GPU memory cost.
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