Endoscopic Ultrasound Image Synthesis Using a Cycle-Consistent Adversarial Network-Reference-Cited by-同舟云学术

Endoscopic Ultrasound Image Synthesis Using a Cycle-Consistent Adversarial Network

Published:2021 Issue: Volume: Page:169-178
ISSN:0302-9743
Container-title:Simplifying Medical Ultrasound
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Author:

Grimwood Alexander,Ramalhinho Joao,Baum Zachary M. C.,Montaña-Brown Nina,Johnson Gavin J.,Hu Yipeng,Clarkson Matthew J.,Pereira Stephen P.,Barratt Dean C.,Bonmati Ester

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87583-1_17

Reference20 articles.

1. Bonmati, E., et al.: Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures. Int. J. Comput. Assist. Radiol. Surg. 13(6), 875–883 (2018). https://doi.org/10.1007/s11548-018-1762-2

2. Liu, S., et al.: Deep learning in medical ultrasound analysis: a review (2019). https://doi.org/10.1016/j.eng.2018.11.020

3. Lecture Notes in Computer Science;D Nie,2017

4. Jiao, J., Namburete, A.I.L., Papageorghiou, A.T., Noble, J.A.: Self-supervised ultrasound to MRI fetal brain image synthesis. IEEE Trans. Med. Imaging. 39, 4413–4424 (2020). https://doi.org/10.1109/TMI.2020.3018560

5. Zhu, J.-Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings IEEE International Conference Computer Vision, October 2017, pp. 2242–2251 (2017)

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