Yong Long
Orcid: 0000-0003-2350-9451
According to our database1,
Yong Long
authored at least 35 papers
between 2009 and 2025.
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Bibliography
2025
2023
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the 2023 2nd International Symposium on Computing and Artificial Intelligence, 2023
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging.
CoRR, 2022
Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction.
CoRR, 2022
Proceedings of the 3rd International Conference on Computing, 2022
2021
IEEE Trans. Medical Imaging, 2021
2020
SPULTRA: Low-Dose CT Image Reconstruction With Joint Statistical and Learned Image Models.
IEEE Trans. Medical Imaging, 2020
DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering.
IEEE Trans. Medical Imaging, 2020
An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT.
CoRR, 2020
Two-layer clustering-based sparsifying transform learning for low-dose CT reconstruction.
CoRR, 2020
Multi-layer Residual Sparsifying Transform (MARS) Model for Low-dose CT Image Reconstruction.
CoRR, 2020
Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction.
CoRR, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Image-Domain Material Decomposition Using an Iterative Neural Network for Dual-Energy CT.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
Channel coordination of battery supplier and battery swap station of micro-grid with uncertain rental demand.
Soft Comput., 2019
CoRR, 2019
BCD-Net for Low-Dose CT Reconstruction: Acceleration, Convergence, and Generalization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction.
IEEE Trans. Medical Imaging, 2018
Positioning-pricing problem of heterogeneous duopoly with uncertain consumer preferences.
Soft Comput., 2018
Image-domain material decomposition using data-driven sparsity models for dual-energy CT.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
2017
Sparse-View X-Ray CT Reconstruction Using 𝓵<sub>1</sub> Prior with Learned Transform.
CoRR, 2017
Adaptive sparse modeling and shifted-poisson likelihood based approach for low-dosect image reconstruction.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
2016
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016
2014
IEEE Trans. Medical Imaging, 2014
2012
Proceedings of the AsiaSim 2012, 2012
2010
IEEE Trans. Medical Imaging, 2010
Statistical Analysis of the New Rural Cooperative Medical Care System of the Factors Affecting Satisfaction.
Proceedings of the International Conference on E-Business and E-Government, 2010
Empirical Study on FDI, International Trade and Economic Growth in Chongqing Based on VAR.
Proceedings of the International Conference on E-Business and E-Government, 2010
2009
Uncertain equilibrium analysis on profits distribution between partner firms in competitive strategic alliances.
Soft Comput., 2009