activity
20162025
most citedHigh-Frequency Space Diffusion Models for Accelerated MRI

95 citations · 141 across the 32 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

eess.IV2024

Guided MRI Reconstruction via Schrödinger Bridge

Yue Wang, Yuanbiao Yang, Zhuo-xu Cui +5

Magnetic Resonance Imaging (MRI) is an inherently multi-contrast modality, where cross-contrast priors can be exploited to improve image reconstruction from undersampled data. Rece…

eess.IV2024

SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging

Yuliang Zhu, Jing Cheng, Zhuo-Xu Cui +3

Dynamic MR images possess various transformation symmetries,including the rotation symmetry of local features within the image and along the temporal dimension. Utilizing these sym…

eess.IV2024

MR Optimized Reconstruction of Simultaneous Multi-Slice Imaging Using Diffusion Model

Ting Zhao, Zhuoxu Cui, Sen Jia +6

Diffusion model has been successfully applied to MRI reconstruction, including single and multi-coil acquisition of MRI data. Simultaneous multi-slice imaging (SMS), as a method fo…

cs.CV2024

Joint PET-MRI Reconstruction with Diffusion Stochastic Differential Model

Taofeng Xie, Zhuoxu Cui, Congcong Liu +9

PET suffers from a low signal-to-noise ratio. Meanwhile, the k-space data acquisition process in MRI is time-consuming by PET-MRI systems. We aim to accelerate MRI and improve PET…

eess.IV2024

LINEAR: Learning Implicit Neural Representation With Explicit Physical Priors for Accelerated Quantitative T1rho Mapping

Yuanyuan Liu, Jinwen Xie, Zhuo-Xu Cui +4

Quantitative T1rho mapping has shown promise in clinical and research studies. However, it suffers from long scan times. Deep learning-based techniques have been successfully appli…