3 papers
cs.CV2025
PrIINeR: Towards Prior-Informed Implicit Neural Representations for Accelerated MRI
Ziad Al-Haj Hemidi, Eytan Kats, Mattias P. Heinrich
Accelerating Magnetic Resonance Imaging (MRI) reduces scan time but often degrades image quality. While Implicit Neural Representations (INRs) show promise for MRI reconstruction,…
eess.IV2024
IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations
Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich
Motion artifacts in Magnetic Resonance Imaging (MRI) arise due to relatively long acquisition times and can compromise the clinical utility of acquired images. Traditional motion c…
eess.IV2024
The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023
Jun Lyu, Chen Qin, Shuo Wang +47
Cardiac MRI, crucial for evaluating heart structure and function, faces limitations like slow imaging and motion artifacts. Undersampling reconstruction, especially data-driven alg…