3 papers
cs.CV2026
Learning Cardiac Motion Priors for Implicit Neural Representations
Andrew Bell, George Webber, Andrew P King +3
Implicit neural representations (INRs) are well suited to cardiac motion estimation, providing continuous, compact representations of motion fields. However, fitting an INR to each…
cs.CV2026
Confidence Matters: Uncertainty Quantification and Precision Assessment of Deep Learning-based CMR Biomarker Estimates Using Scan-rescan Data
Dewmini Hasara Wickremasinghe, Michelle Gibogwe, Andrew Bell +6
The performance of deep learning (DL) methods for the analysis of cine cardiovascular magnetic resonance (CMR) is typically assessed in terms of accuracy, overlooking precision. In…
cs.CV2025
Implicit Neural Representations of Intramyocardial Motion and Strain
Andrew Bell, Yan Kit Choi, Steffen E Petersen +3
Automatic quantification of intramyocardial motion and strain from tagging MRI remains an important but challenging task. We propose a method using implicit neural representations…