2 papers
eess.IV2025
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
Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging
Aya Ghoul, Kerstin Hammernik, Andreas Lingg +4
In Magnetic Resonance Imaging (MRI), high temporal-resolved motion can be useful for image acquisition and reconstruction, MR-guided radiotherapy, dynamic contrast-enhancement, flo…