Yong Chen

According to our database, Yong Chen authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

mrftools: A research framework for integrated design, simulation, acquisition, and reconstruction of Magnetic Resonance Fingerprinting (MRF).

Andrew Dupuis, Reid Bolding, Yong Chen, Rasim Boyacioglu, Mark A. Griswold

Dataset, May, 2024

Python Code for Repeatability of 3D MR Fingerprinting During Scanner Software Upgrades.

Andrew Dupuis, Yong Chen, Mark A. Griswold, Rasim Boyacioglu

Dataset, January, 2024

Magnetic Resonance Fingerprinting Datasets of Healthy Brains at 3.0T Before and After Software Upgrades.

Andrew Dupuis, Yong Chen, Mark A. Griswold, Rasim Boyacioglu

Dataset, January, 2024

mrftools: A research framework for integrated design, simulation, acquisition, and reconstruction of Magnetic Resonance Fingerprinting (MRF).

Andrew Dupuis, Reid Bolding, Yong Chen, Rasim Boyacioglu, Mark A. Griswold

Dataset, January, 2024

Dynamic Hybrid Unrolled Multi-scale Network for Accelerated MRI Reconstruction.

Xiao-Xin Li, Fang-Zheng Zhu, Junwei Yang, Yong Chen, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency Regularization.

Yilin Liu, Yunkui Pang, Jiang Li, Yong Chen, Pew-Thian Yap

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Python Code for Quantifying 3D Magnetic Resonance Fingerprinting (3D-MRF) reproducibility across subjects, sessions, and scanners automatically using MNI atlases.

Andrew Dupuis, Yong Chen, Mark A. Griswold, Rasim Boyacioglu

Dataset, July, 2023

High-Resolution 3D Magnetic Resonance Fingerprinting With a Graph Convolutional Network.

Feng Cheng, Yilin Liu, Yong Chen, Pew-Thian Yap

IEEE Trans. Medical Imaging, March, 2023

Towards Architecture-Insensitive Untrained Network Priors for Accelerated MRI Reconstruction.

Yilin Liu, Yunkui Pang, Jiang Li, Yong Chen, Pew-Thian Yap

CoRR, 2023

2021

Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting.

Yilin Liu, Yong Chen, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multimodal MRI Acceleration via Deep Cascading Networks with Peer-Layer-Wise Dense Connections.

Xiao-Xin Li, Zhijie Chen, Xin-Jie Lou, Junwei Yang, Yong Chen, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values.

Khoi Minh Huynh, Wei-Tang Chang, Sang Hun Chung, Yong Chen, Yueh Lee, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting".

Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen

IEEE Trans. Medical Imaging, 2020

Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction".

Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen

IEEE Trans. Biomed. Eng., 2020

High-resolution 3D MR Fingerprinting using parallel imaging and deep learning.

Yong Chen, Zhenghan Fang, Sheng-Che Hung, Weitang Chang, Dinggang Shen, Weili Lin

NeuroImage, 2020

Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network.

Feng Cheng, Yong Chen, Xiaopeng Zong, Weili Lin, Dinggang Shen, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting.

Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen

IEEE Trans. Medical Imaging, 2019

Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction.

Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen

IEEE Trans. Biomed. Eng., 2019

RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting.

Zhenghan Fang, Yong Chen, Dong Nie, Weili Lin, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information.

Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF).

Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018