McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction

Author:

Ekanayake MevanORCID,Pawar Kamlesh,Harandi MehrtashORCID,Egan GaryORCID,Chen ZhaolinORCID

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference62 articles.

1. Principles of Magnetic Resonance Imaging;Nishimura,2010

2. fastMRI: an Open Dataset and Benchmarks for Accelerated MRI;Zbontar,2019

3. Physics-driven deep learning for computational magnetic resonance imaging: combining physics and machine learning for improved medical imaging;Hammernik;IEEE Signal Process. Mag.,2023

4. Deep-learning methods for parallel magnetic resonance imaging reconstruction: a survey of the current approaches, trends, and issues;Knoll;IEEE Signal Process. Mag.,2020

5. Generalized autocalibrating partially parallel acquisitions (GRAPPA);Griswold;Magn. Reson. Med.,2002

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