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Adaptive Fusion Neural Networks for Sparse-Angle X-Ray 3D Reconstruction

Shaoyong Hong Bo Yang Yan Chen Hao Quan Shan Liu Minyi Tang Jiawei Tian

Computer Modeling in Engineering & Sciences2025，Vol.144Issue(7)：P.1091-1112,22.

Computer Modeling in Engineering & Sciences2025，Vol.144Issue(7)：P.1091-1112,22.DOI:10.32604/cmes.2025.066165

Adaptive Fusion Neural Networks for Sparse-Angle X-Ray 3D Reconstruction

Shaoyong Hong ¹Bo Yang ²Yan Chen ²Hao Quan ³Shan Liu ⁴Minyi Tang ⁵Jiawei Tian⁶

作者信息

1. School of Artificial Intelligence,Guangzhou Huashang College,Guangzhou,511300,China
2. School of Automation,University of Electronic Science and Technology of China,Chengdu,610054,China
3. Department of Electronics,Information and Bioengineering(DEIB),Politecnico di Milano,Via Ponzio 34/5,Milan,20133,Italy
4. Department of Modelling,Simulation,and Visualization Engineering,Old Dominion University,Norfolk,VA 23529,USA
5. Graduate School of Engineering,ESIGELEC,Av.Galilee,St Etienne du Rouvray,76801,France
6. Department of Computer Science and Engineering,Hanyang University,Ansan,15577,Republic of Korea
折叠

摘要

关键词

3D reconstruction/adaptive fusion/X-ray imaging/medical imaging/deep learning/neural networks/sparse angles/autoencoder

分类

医药卫生

引用本文复制引用

Shaoyong Hong,Bo Yang,Yan Chen,Hao Quan,Shan Liu,Minyi Tang,Jiawei Tian..Adaptive Fusion Neural Networks for Sparse-Angle X-Ray 3D Reconstruction[J].Computer Modeling in Engineering & Sciences,2025,144(7):P.1091-1112,22.

基金项目

Supported by Sichuan Science and Technology Program(2023YFSY0026,2023YFH0004). （2023YFSY0026,2023YFH0004）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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