Ziwen Ke

Orcid: 0000-0003-3298-8220

According to our database1, Ziwen Ke authored at least 18 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging.
IEEE Trans. Medical Imaging, December, 2023

2022
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging.
CoRR, 2022

2021
Learned Low-Rank Priors in Dynamic MR Imaging.
IEEE Trans. Medical Imaging, 2021

Learning Data Consistency and its Application to Dynamic MR Imaging.
IEEE Trans. Medical Imaging, 2021

Deep Manifold Learning for Dynamic MR Imaging.
IEEE Trans. Computational Imaging, 2021

Deep low-Rank plus sparse network for dynamic MR imaging.
Medical Image Anal., 2021

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI.
CoRR, 2021

SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging.
CoRR, 2021

Deep Manifold Learning for Dynamic MR Imaging.
CoRR, 2021

2020
Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks.
IEEE Signal Process. Mag., 2020

Deep Low-rank plus Sparse Network for Dynamic MR Imaging.
CoRR, 2020

Deep Low-rank Prior in Dynamic MR Imaging.
CoRR, 2020

2019
An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling.
CoRR, 2019

LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset.
CoRR, 2019

Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks.
CoRR, 2019

DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution.
CoRR, 2019

CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint.
CoRR, 2019

2018
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training.
CoRR, 2018


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