Semi-supervised Cardiac MRI Segmentation Based on Generative Adversarial Network and Variational Auto-Encoder-Reference-Cited by-同舟云学术

Semi-supervised Cardiac MRI Segmentation Based on Generative Adversarial Network and Variational Auto-Encoder

Published:2021-12-09 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Li Shaojie,Zhang Yifan,Yang Xuan

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9669261/9669139/09669685.pdf?arnumber=9669685

Reference9 articles.

1. Multicentre, multi-vendor and multi-disease cardiac segmentation: The m&ms challenge;campello;IEEE Transactions on Medical Imaging,2021

2. Semantic Image Synthesis With Spatially-Adaptive Normalization

3. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

4. U-net: Convolutional networks for biomedical image segmentation;olaf;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

5. Disentangled representation learning in cardiac image analysis

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