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ORCIDYong Chen 0026
Person information
Other persons with the same name
- Yong Chen — disambiguation page
- Yong Chen 0001
![[0000-0002-9961-9051]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9961-9051")
— Texas Tech University, Department of Computer Science, Lubbock, TX, USA (and 2 more) - Yong Chen 0002 — Hangzhou Dianzi University, Department of Mathematics, China (and 1 more)
- Yong Chen 0003 — National University of Defense Technology, College of Aerospace and Materials Engineering, Changsha, China
- Yong Chen 0004 — Huazhong University of Science and Technology, Big Data Technology and System Lab, Wuhan, China (and 1 more)
- Yong Chen 0005 — University of Macau, State Key Laboratory of Analog and Mixed-Signal, Macau (and 3 more)
- Yong Chen 0006 — Central South University, School of Automation, Changsha Hunan, China (and 1 more)
- Yong Chen 0007 — Chongqing University of Posts and Telecommunications, MOE, Key Laboratory of Industrial Internet of Things and Network Control, China (and 1 more)
- Yong Chen 0008 — Beihang University, Department of Computer Science and Engineering, Beijing, China
- Yong Chen 0009 — Nanjing Longyuan Micro-Electronic Company, China
- Yong Chen 0010 — University of Electronic Science and Technology of China, School of Automation Engineering / Institute of Electric Vehicle Driving System and Safety Technology, Chengdu, China (and 1 more)
- Yong Chen 0011 — University of Maryland, Earth System Science Interdisciplinary Research Center, College Park, MD, USA (and 2 more)
- Yong Chen 0012 — Beijing Institute of Technology, School of Mechanical Engineering, Beijing, China
- Yong Chen 0013 — University of Electronic Science and Technology of China, School of Mathematical Sciences / Research Center for Image and Vision Computing, Chengdu, China
- Yong Chen 0014 — Dresden University of Technology, Vodafone Chair for Mobile Communications Systems, Dresden, Germany
- Yong Chen 0015 — University of Southampton, UK (and 1 more)
- Yong Chen 0016 — University of Pennsylvania, Department of Biostatistics, Philadelphia, PA, USA (and 1 more)
- Yong Chen 0017 — University of Southern California, Epstein Department of Industrial and Systems Engineering, Los Angeles, CA, USA (and 1 more)
- Yong Chen 0018 — Texas A&M International University, School of Business, Laredo, TX, USA (and 1 more)
- Yong Chen 0019
- Yong Chen 0020 — Zhejiang University of Finance and Economics, School of Information Management and Artificial Intelligence, Hangzhou, China (and 1 more)
- Yong Chen 0021
- Yong Chen 0022
- Yong Chen 0023
- Yong Chen 0024
- Yong Chen 0025
- Yong Chen 0027
- Yong Chen 0028
- Yong Chen 0029
- Yong Chen 0030
- Yong Chen 0031
- Yong Chen 0032
- Yong Chen 0033
- Yong Chen 0034
- Yong Chen 0035
- Yong Chen 0036
- Yong Chen 0037
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2020 – today
- 2024
[c9]Yilin Liu, Yunkui Pang, Jiang Li, Yong Chen, Pew-Thian Yap:
Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency Regularization. ECCV (14) 2024: 341-358- [c8]Xiao-Xin Li, Fang-Zheng Zhu, Junwei Yang, Yong Chen, Dinggang Shen:
Dynamic Hybrid Unrolled Multi-scale Network for Accelerated MRI Reconstruction. MICCAI (7) 2024: 264-274 - [d5]Andrew Dupuis, Reid Bolding, Yong Chen, Rasim Boyacioglu, Mark A. Griswold:
mrftools: A research framework for integrated design, simulation, acquisition, and reconstruction of Magnetic Resonance Fingerprinting (MRF). Version 0.1.50. Zenodo, 2024 [all versions]
- [d4]Andrew Dupuis, Reid Bolding, Yong Chen, Rasim Boyacioglu, Mark A. Griswold:
mrftools: A research framework for integrated design, simulation, acquisition, and reconstruction of Magnetic Resonance Fingerprinting (MRF). Version 0.2.8. Zenodo, 2024 [all versions] - [d3]Andrew Dupuis, Yong Chen, Mark A. Griswold, Rasim Boyacioglu:
Magnetic Resonance Fingerprinting Datasets of Healthy Brains at 3.0T Before and After Software Upgrades. Zenodo, 2024 - [d2]Andrew Dupuis, Yong Chen, Mark A. Griswold, Rasim Boyacioglu:
Python Code for Repeatability of 3D MR Fingerprinting During Scanner Software Upgrades. Zenodo, 2024 - 2023
- [j6]Feng Cheng, Yilin Liu, Yong Chen, Pew-Thian Yap:
High-Resolution 3D Magnetic Resonance Fingerprinting With a Graph Convolutional Network. IEEE Trans. Medical Imaging 42(3): 674-683 (2023) - [d1]Andrew Dupuis, Yong Chen, Mark A. Griswold, Rasim Boyacioglu:
Python Code for Quantifying 3D Magnetic Resonance Fingerprinting (3D-MRF) reproducibility across subjects, sessions, and scanners automatically using MNI atlases. Zenodo, 2023 - [i2]Yilin Liu, Yunkui Pang, Jiang Li, Yong Chen, Pew-Thian Yap:
Towards Architecture-Insensitive Untrained Network Priors for Accelerated MRI Reconstruction. CoRR abs/2312.09988 (2023) - 2021
- [c7]Yilin Liu, Yong Chen, Pew-Thian Yap:
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting. MICCAI (6) 2021: 161-170 - [c6]Khoi Minh Huynh, Wei-Tang Chang, Sang Hun Chung, Yong Chen, Yueh Lee, Pew-Thian Yap:
Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values. MICCAI (6) 2021: 191-200 - [c5]Xiao-Xin Li, Zhijie Chen, Xin-Jie Lou, Junwei Yang, Yong Chen, Dinggang Shen:
Multimodal MRI Acceleration via Deep Cascading Networks with Peer-Layer-Wise Dense Connections. MICCAI (6) 2021: 329-339 - [i1]Yilin Liu, Yong Chen, Pew-Thian Yap:
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting. CoRR abs/2107.08120 (2021) - 2020
- [j5]Yong Chen, Zhenghan Fang, Sheng-Che Hung, Weitang Chang, Dinggang Shen, Weili Lin:
High-resolution 3D MR Fingerprinting using parallel imaging and deep learning. NeuroImage 206 (2020) - [j4]Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction". IEEE Trans. Biomed. Eng. 67(9): 2705 (2020) - [j3]Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen:
Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting". IEEE Trans. Medical Imaging 39(2): 543 (2020) - [c4]Feng Cheng, Yong Chen, Xiaopeng Zong, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network. MICCAI (2) 2020: 158-166
2010 – 2019
- 2019
- [j2]Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction. IEEE Trans. Biomed. Eng. 66(7): 2105-2114 (2019) - [j1]Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen:
Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting. IEEE Trans. Medical Imaging 38(10): 2375-2388 (2019) - [c3]Zhenghan Fang, Yong Chen, Dong Nie, Weili Lin, Dinggang Shen:
RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting. MICCAI (3) 2019: 101-109 - 2018
- [c2]Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information. MICCAI (1) 2018: 215-223 - [c1]Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen:
Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF). MLMI@MICCAI 2018: 398-405
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