2 papers
cs.CV2026
SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation
Tianhao Fu, Austin Wang, Charles Chen +2
Reliable uncertainty estimation is critical for medical image segmentation, where automated contours feed downstream quantification and clinical decision support. Many strong uncer…
eess.IV2025
Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation
Hong Zheng, Yucheng Chen, Nan Mu +1
Accurate segmentation of the ventricles from cardiac magnetic resonance images (CMRIs) is crucial for enhancing the diagnosis and analysis of heart conditions. Deep learning-based…