Joint Group-Wise Motion Estimation and Segmentation of Cardiac Cine MR Images Using Recurrent U-Net-Reference-Cited by-同舟云学术

Joint Group-Wise Motion Estimation and Segmentation of Cardiac Cine MR Images Using Recurrent U-Net

Published:2022 Issue: Volume: Page:65-74
ISSN:0302-9743
Container-title:Medical Image Understanding and Analysis
language:
Short-container-title:

Author:

Qian Pengfang^ORCID,Yang Junwei^ORCID,Lió Pietro^ORCID,Hu Peng,Qi Haikun^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-12053-4_5

Reference13 articles.

1. Ripley, D.P., Musa, T.A., Dobson, L.E., Plein, S., Greenwood, J.P.: Cardiovascular magnetic resonance imaging: what the general cardiologist should know. Heart 102, 1589–1603 (2016). https://doi.org/10.1136/heartjnl-2015-307896

2. Chen, C., et al.: Deep learning for cardiac image segmentation: a review. Front. Cardiovasc. Med. 7, 25 (2020)

3. Lecture Notes in Computer Science;W Yan,2018

4. Bai, S., Kolter, J.Z., Koltun, V.: An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. ArXiv Prepr. ArXiv:180301271 (2018)

5. Du, X., Yin, S., Tang, R., Zhang, Y., Li, S.: Cardiac-DeepIED: automatic pixel-level deep segmentation for cardiac bi-ventricle using improved end-to-end encoder-decoder Network. IEEE J. Transl. Eng. Health Med. 7, 1–10 (2019). https://doi.org/10.1109/JTEHM.2019.2900628

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unified Deep Learning for Simultaneous Cardiac Cine MRI Reconstruction, Motion Estimation and Segmentation;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. Stop moving: MR motion correction as an opportunity for artificial intelligence;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-02-22