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eess.IV2023★ 2 cited
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction
Bingyu Xin, Meng Ye, Leon Axel +1
The key to dynamic or multi-contrast magnetic resonance imaging (MRI) reconstruction lies in exploring inter-frame or inter-contrast information. Currently, the unrolled model, an…
eess.IV2023
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction
Xiaoxiao He, Chaowei Tan, Ligong Han +4
Accurate 3D cardiac reconstruction from cine magnetic resonance imaging (cMRI) is crucial for improved cardiovascular disease diagnosis and understanding of the heart's motion. How…
eess.IV2021★ 4 cited
Learned Half-Quadratic Splitting Network for MR Image Reconstruction
Bingyu Xin, Timothy S. Phan, Leon Axel +1
Magnetic Resonance (MR) image reconstruction from highly undersampled -space data is critical in accelerated MR imaging (MRI) techniques. In recent years, deep learning-based me…