Zhuo-Xu Cui

Orcid: 0000-0001-9283-881X

According to our database1, Zhuo-Xu Cui authored at least 40 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Correlated and Multi-Frequency Diffusion Modeling for Highly Under-Sampled MRI Reconstruction.
IEEE Trans. Medical Imaging, October, 2024

Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion.
IEEE Trans. Medical Imaging, October, 2024

A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection.
IEEE J. Biomed. Health Informatics, June, 2024

High-Frequency Space Diffusion Model for Accelerated MRI.
IEEE Trans. Medical Imaging, May, 2024

Joint PET-MRI Reconstruction with Diffusion Stochastic Differential Model.
CoRR, 2024

SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

k-t Self-consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

K-UNN: k-space interpolation with untrained neural network.
Medical Image Anal., August, 2023

Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks.
IEEE Signal Process. Mag., March, 2023

Accelerating Magnetic Resonance T<sub>1ρ</sub> Mapping Using Simultaneously Spatial Patch-Based and Parametric Group-Based Low-Rank Tensors (SMART).
IEEE Trans. Medical Imaging, 2023

Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction.
CoRR, 2023

Matrix Completion-Informed Deep Unfolded Equilibrium Models for Self-Supervised k-Space Interpolation in MRI.
CoRR, 2023

Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems.
CoRR, 2023

Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction.
CoRR, 2023

Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation.
CoRR, 2023

Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model.
CoRR, 2023

Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI.
CoRR, 2023

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI.
CoRR, 2023

2022
SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging.
CoRR, 2022

Deep unfolding as iterative regularization for imaging inverse problems.
CoRR, 2022

Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields.
CoRR, 2022

Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction.
CoRR, 2022

K-UNN: k-Space Interpolation With Untrained Neural Network.
CoRR, 2022

High-Frequency Space Diffusion Models for Accelerated MRI.
CoRR, 2022

PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance 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

Is Each Layer Non-trivial in CNN? (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Momentum methods for stochastic optimization over time-varying directed networks.
Signal Process., 2020

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

Is each layer non-trivial in CNN?
CoRR, 2020

On the Non-ergodic Convergence Rate of the Directed Nonsmooth Composite Optimization.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2020

2017
A nonconvex nonsmooth regularization method with structure tensor total variation.
J. Vis. Commun. Image Represent., 2017

A nonconvex nonsmooth regularization method for compressed sensing and low rank matrix completion.
Digit. Signal Process., 2017


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