Reconstructing Knee CT Volumes from Biplanar X-Rays Via Self-Supervised Neural Field-Reference-Cited by-同舟云学术

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Reconstructing Knee CT Volumes from Biplanar X-Rays Via Self-Supervised Neural Field

Published:2024-05-27 Issue: Volume:33 Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Lai Shuyang¹,Tian Xuanyu¹,Wu Qing¹,Du Chenhe¹,Xu Xiaojun²,Wei Hongjiang³,Guan Xiaojun²,Zhang Yuyao¹

Affiliation:

1. ShanghaiTech University,School of Information Science and Technology,Shanghai,China

2. Zhejiang University School of Medicine,The Second Affiliated Hospital,Department of Radiology,Hangzhou,China

3. Shanghai Jiao Tong University,School of Biomedical Engineering,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635353.pdf?arnumber=10635353

Reference19 articles.

1. Practical cone-beam algorithm

2. Simultaneous Algebraic Reconstruction Technique (SART): A Superior Implementation of the Art Algorithm

3. X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks

4. End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones from Bi-planar X-Ray Images

5. CCX-rayNet: A Class Conditioned Convolutional Neural Network For Biplanar X-Rays to CT Volume

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