Chi Zhang
Orcid: 0000-0001-5737-233XAffiliations:
- University of Minnesota, Center for Magnetic Resonance Research, Minneapolis, MN, USA
According to our database1,
Chi Zhang
authored at least 13 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI.
CoRR, 2023
High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning.
NeuroImage, 2022
Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations.
CoRR, 2021
Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues.
IEEE Signal Process. Mag., 2020
Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
2019
CoRR, 2019
Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging.
Proceedings of the 2018 IEEE International Conference on Electro/Information Technology, 2018
Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural Networks.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018