"Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: ..."

Kerstin Hammernik et al. (2023)

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DOI: 10.1109/MSP.2022.3215288

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type: Journal Article

metadata version: 2023-01-31

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Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya:
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. IEEE Signal Process. Mag. 40(1): 98-114 (2023)

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