2 citations · 6 across the 14 of their papers we have counts for
5 papers · 1 filter
MMRQA: Signal-Enhanced Multimodal Large Language Models for MRI Quality Assessment
Fankai Jia, Daisong Gan, Zhe Zhang +4
Magnetic resonance imaging (MRI) quality assessment is crucial for clinical decision-making, yet remains challenging due to data scarcity and protocol variability. Traditional appr…
RS-MOCO: A deep learning-based topology-preserving image registration method for cardiac T1 mapping
Chiyi Huang, Longwei Sun, Dong Liang +3
Cardiac T1 mapping can evaluate various clinical symptoms of myocardial tissue. However, there is currently a lack of effective, robust, and efficient methods for motion correction…
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…
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan +11
In the field of parallel imaging (PI), alongside image-domain regularization methods, substantial research has been dedicated to exploring -space interpolation. However, the int…
Model-based Deep Medical Imaging: the roadmap of generalizing iterative reconstruction model using deep learning
Jing Cheng, Haifeng Wang, Yanjie Zhu +10
Medical imaging is playing a more and more important role in clinics. However, there are several issues in different imaging modalities such as slow imaging speed in MRI, radiation…