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20182026
most citedEnhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking

2 citations · 3 across the 3 of their papers we have counts for

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cs.CV2026

A practical probabilistic framework for deformable image registration uncertainty in radiotherapy dose propagation

Stefan Heldmann, Sven Kuckertz, Nasim Givehchi +4

Deformable image registration (DIR) is widely used in radiotherapy for dose propagation and accumulation, but uncertainty in the underlying deformation can substantially affect cli…

cs.CV2018★ 2 cited

Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking

Alessa Hering, Sven Kuckertz, Stefan Heldmann +1

While deep learning has achieved significant advances in accuracy for medical image segmentation, its benefits for deformable image registration have so far remained limited to red…