2 papers
stat.ME2025
Sparse Bayesian Learning for Label Efficiency in Cardiac Real-Time MRI
Felix Terhag, Philipp Knechtges, Achim Basermann +4
Cardiac real-time magnetic resonance imaging (MRI) is an emerging technology that images the heart at up to 50 frames per second, offering insight into the respiratory effects on t…
cs.CV2025
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI
F. Terhag, P. Knechtges, A. Basermann +1
Recent studies have confirmed cardiovascular diseases remain responsible for highest death toll amongst non-communicable diseases. Accurate left ventricular (LV) volume estimation…