Sen Jia

Affiliations:

Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen, China
University of Chinese Academy of Sciences, Beijing, China (PhD 2020)

According to our database¹, Sen Jia authored at least 26 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, February, 2025

Accelerating the Whole-Brain Multi-Parametric Imaging Through Joint Deep Learning Reconstruction and Physical Model Integration.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, October, 2024

Diff5T: Benchmarking Human Brain Diffusion MRI with an Extensive 5.0 Tesla K-Space and Spatial Dataset.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, December, 2023

K-UNN: k-space interpolation with untrained neural network.

[BibT_eX]

[DOI]

Medical Image Anal., August, 2023

Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation.

[BibT_eX]

[DOI]

CoRR, 2023

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI.

[BibT_eX]

[DOI]

CoRR, 2023

2022

SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging.

[BibT_eX]

[DOI]

CoRR, 2022

K-UNN: k-Space Interpolation With Untrained Neural Network.

[BibT_eX]

[DOI]

CoRR, 2022

SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging.

[BibT_eX]

[DOI]

CoRR, 2022

Online reconstruction of fast dynamic MR imaging using deep low-rank plus sparse network.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

Learned Low-Rank Priors in Dynamic MR Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Deep Manifold Learning for Dynamic MR Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2021

Deep low-Rank plus sparse network for dynamic MR imaging.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Deep Manifold Learning for Dynamic MR Imaging.

[BibT_eX]

[DOI]

CoRR, 2021

2020

One-Stop MR Neurovascular Vessel Wall Imaging With a 48-Channel Coil System at 3 T.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Deep Low-rank Prior in Dynamic MR Imaging.

[BibT_eX]

[DOI]

CoRR, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

A Parameter-Insensitive Solution for Hybrid Compressed Sensing and Parallel Imaging.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

T1rho Fractional-order Relaxation of Human Articular Cartilage.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Accelerating MR Imaging via Deep Chambolle-Pock Network.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Sen Jia

Timeline

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Bibliography

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