Myocardial Infarction Segmentation in Late Gadolinium Enhanced MRI Images using Data Augmentation and Chaining Multiple U-Net-Reference-Cited by-同舟云学术

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Myocardial Infarction Segmentation in Late Gadolinium Enhanced MRI Images using Data Augmentation and Chaining Multiple U-Net

Published:2020-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)
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Author:

Sharma Rishabh,Eick Christoph F.,Tsekos Nikolaos V.

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9287816/9287978/09288099.pdf?arnumber=9288099

Cited by 4 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. Dense U-Nets for Enhancement of Undersampled MRI Using Cross-Contrast Feature Transfer;2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE);2023-12-04

2. Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review;Computers in Biology and Medicine;2023-06

3. BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation;IEEE Journal of Biomedical and Health Informatics;2023-01

4. A Deep Learning Approach to Upscaling “Low-Quality” MR Images: An In Silico Comparison Study Based on the UNet Framework;Applied Sciences;2022-11-19

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