Peng Li

Orcid: 0000-0001-5015-4364

Affiliations:
  • Harbin Institute of Technology, School of Electronics and Information Engineering, China


According to our database1, Peng Li authored at least 15 papers between 2021 and 2025.

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

Timeline

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Bibliography

2025
Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction.
Medical Image Anal., 2025

2024
T2LR-Net: An unrolling network learning transformed tensor low-rank prior for dynamic MR image reconstruction.
Comput. Biol. Medicine, March, 2024

Improved MRF Reconstruction via Structure-Preserved Graph Embedding Framework.
IEEE Trans. Image Process., 2024

Enhancing MRF Reconstruction: A Model-Based Deep Learning Approach Leveraging Learned Sparsity and Physics Priors.
IEEE Trans. Computational Imaging, 2024

Deep magnetic resonance fingerprinting based on Local and Global Vision Transformer.
Medical Image Anal., 2024

Optimized Magnetic Resonance Fingerprinting Using Ziv-Zakai Bound.
Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2024

Deep Structure-Preserved Graph Embedding for Improved MRF Reconstruction.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Structure-Preserved Graph Embedding for Improved MRF Reconstruction.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Learned Tensor Low-CP-Rank and Bloch Response Manifold Priors for Non-Cartesian MRF Reconstruction.
IEEE Trans. Medical Imaging, December, 2023

Deep Low-Rank and Sparse Patch-Image Network for Infrared Dim and Small Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Exploiting Manifold Structured Data Priors for Improved MR Fingerprinting Reconstruction.
CoRR, 2023

Dynamic Mri Using Learned Transform-Based Tensor Low-Rank Network (LT<sup>2</sup>LR-NET).
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
High-Quality MR Fingerprinting Reconstruction Using Structured Low-Rank Matrix Completion and Subspace Projection.
IEEE Trans. Medical Imaging, 2022

Dynamic MRI using Learned Transform-based Deep Tensor Low-Rank Network (DTLR-Net).
CoRR, 2022

2021
Mr Fingerprinting Reconstruction Using Structured Low-Rank Matrix Recovery And Subspace Modeling.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021


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