Jingyuan Lyu

According to our database, Jingyuan Lyu authored at least 13 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2022

Interpretable Dimension Reduction for MRI Channel Suppression.

Yuchou Chang, Jiming Zhang, Huy Anh Pham, Jingyuan Lyu, Zhiqiang Li

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Virtual Conjugate Coil for Improving KerNL Reconstruction.

Yuchou Chang, Jiming Zhang, Huy Anh Pham, Zhiqiang Li, Jingyuan Lyu

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning.

Eric Z. Chen, Yongquan Ye, Xiao Chen, Jingyuan Lyu, Zhongqi Zhang, Yichen Hu, Terrence Chen, Jian Xu, Shanhui Sun

CoRR, 2021

Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction.

Eric Z. Chen, Xiao Chen, Jingyuan Lyu, Qi Liu, Zhongqi Zhang, Yu Ding, Shuheng Zhang, Terrence Chen, Jian Xu, Shanhui Sun

CoRR, 2021

2020

Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network.

Eric Z. Chen, Xiao Chen, Jingyuan Lyu, Yuan Zheng, Terrence Chen, Jian Xu, Shanhui Sun

CoRR, 2020

2019

KerNL: Kernel-Based Nonlinear Approach to Parallel MRI Reconstruction.

Jingyuan Lyu, Ukash Nakarmi, Dong Liang, Jinhua Sheng, Leslie Ying

IEEE Trans. Medical Imaging, 2019

2017

A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRI.

Ukash Nakarmi, Yanhua Wang, Jingyuan Lyu, Dong Liang, Leslie Ying

IEEE Trans. Medical Imaging, 2017

M-MRI: A manifold-based framework to highly accelerated dynamic magnetic resonance imaging.

Ukash Nakarmi, Konstantinos Slavakis, Jingyuan Lyu, Leslie Ying

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding.

Ukash Nakarmi, Yihang Zhou, Jingyuan Lyu, Konstantinos Slavakis, Leslie Ying

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Accelerating MR parameter mapping using nonlinear manifold learning and supervised pre-imaging.

Yihang Zhou, Chao Shi, Fuquan Ren, Jingyuan Lyu, Dong Liang, Leslie Ying

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Recovery of parametric manifold from reduced measurements: Application to magnetic resonance parameter mapping.

Chao Shi, Yihang Zhou, Yanhua Wang, Jingyuan Lyu, Dong Liang, Leslie Ying

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Dynamic magnetic resonance imaging using compressed sensing with self-learned nonlinear dictionary (NL-D).

Ukash Nakarmi, Yanhua Wang, Jingyuan Lyu, Leslie Ying

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013

Efficient GRAPPA reconstruction using random projection.

Jingyuan Lyu, Yuchou Chang, Leslie Ying

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013