most citedSelf-supervised feature learning for cardiac Cine MR image reconstruction

5 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2025★ 5 cited

Self-supervised feature learning for cardiac Cine MR image reconstruction

Siying Xu, Marcel Früh, Kerstin Hammernik +6

We propose a self-supervised feature learning assisted reconstruction (SSFL-Recon) framework for MRI reconstruction to address the limitation of existing supervised learning method…

eess.IV2024★ 1 cited

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging

Wenqi Huang, Veronika Spieker, Siying Xu +6

Conventional cardiac cine MRI methods rely on retrospective gating, which limits temporal resolution and the ability to capture continuous cardiac dynamics, particularly in patient…

eess.IV2024

Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging

Siying Xu, Kerstin Hammernik, Andreas Lingg +5

Cardiac Cine Magnetic Resonance Imaging (MRI) provides an accurate assessment of heart morphology and function in clinical practice. However, MRI requires long acquisition times, w…