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cs.CV2025
Robust Rigid and Non-Rigid Medical Image Registration Using Learnable Edge Kernels
Ahsan Raza Siyal, Markus Haltmeier, Ruth Steiger +3
Medical image registration is crucial for various clinical and research applications including disease diagnosis or treatment planning which require alignment of images from differ…
cs.CV2025
DARE: A Deformable Adaptive Regularization Estimator for Learning-Based Medical Image Registration
Ahsan Raza Siyal, Markus Haltmeier, Ruth Steiger +3
Deformable medical image registration is a fundamental task in medical image analysis. While deep learning-based methods have demonstrated superior accuracy and computational effic…