BNU-Net: A Novel Deep Learning Approach for LV MRI Analysis in Short-Axis MRI

Author:

Chu Wenhui,Molina Giovanni,Navkar Nikhil V.,Eick Christoph F.,Becker Aaron T.,Tsiamyrtzis Panagiotis,Tsekos Nikolaos V.

Publisher

IEEE

Cited by 5 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. A Novel Deep Learning Method for Segmenting the Left Ventricle in Cardiac Cine MRI;2024 IEEE 3rd International Conference on AI in Cybersecurity (ICAIC);2024-02-07

2. An Overview of Deep Learning Methods for Left Ventricle Segmentation;Computational Intelligence and Neuroscience;2023-01-30

3. Automatic delineation of left ventricle contours in MRI using deep learning;2022 6th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP);2022-05-24

4. Two Deep Learning Approaches for Automated Segmentation of Left Ventricle in Cine Cardiac MRI;2022 12th International Conference on Bioscience, Biochemistry and Bioinformatics;2022-01-07

5. Myocardial Infarction Segmentation in Late Gadolinium Enhanced MRI Images using Data Augmentation and Chaining Multiple U-Net;2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE);2020-10

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