STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution

Author:

Lyu JunORCID,Wang ShuoORCID,Tian YapengORCID,Zou JingORCID,Dong ShunjieORCID,Wang ChengyanORCID,Aviles-Rivero Angelica I.,Qin JingORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference45 articles.

1. Quantitative assessment of single-image super-resolution in myocardial scar imaging;Ashikaga;IEEE J. Transl. Eng. Health Med.,2014

2. Super-resolution cine image enhancement for fetal cardiac magnetic resonance imaging;Berggren;J. Magn. Reson. Imaging,2022

3. Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved?;Bernard;IEEE Trans. Med. Imaging,2018

4. Effect of windowing and zero-filled reconstruction of MRI data on spatial resolution and acquisition strategy;Bernstein;J. Magn. Reson. Imaging: Official J. Int. Soc. Magn. Reson. Med.,2001

5. Deep learning–based prescription of cardiac MRI planes;Blansit;Radiology: Artif. Intell.,2019

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