Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN-Reference-Cited by-同舟云学术

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Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN

Published:2018 Issue: Volume: Page:31-41
ISSN:0302-9743
Container-title:Simulation and Synthesis in Medical Imaging
language:
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Author:

Hiasa Yuta,Otake Yoshito,Takao Masaki,Matsuoka Takumi,Takashima Kazuma,Carass Aaron,Prince Jerry L.,Sugano Nobuhiko,Sato Yoshinobu

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00536-8_4

Reference18 articles.

1. Cvitanic, O.: MRI diagnosis of tears of the hip abductor tendons (gluteus medius and gluteus minimus). Am. J. Roentgenol. 182(1), 137–143 (2004)

2. Torrado-Carvajal, A.: Fast patch-based pseudo-CT synthesis from T1-weighted MR images for PET/MR attenuation correction in brain studies. J. Nuclear Med. 57(1), 136–143 (2016)

3. Lecture Notes in Computer Science;C Zhao,2017

4. Lecture Notes in Computer Science;K Kamnitsas,2017

5. Zhu, J.Y., et al.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2223–2232 (2017)

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