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Open access Oct 2026

Masked Position Modeling as a Pre-Training Strategy for Foundational Deformable Image Registration Models.

The core objective of deformable image registration (DIR), estimating a displacement vector field that aligns two images, is fundamentally the same across imaging modalities and anatomical regions. Although this shared objective should imply the use of foundation models, most deep learning approaches for DIR operate wi...

Wenke Karbole, Vasiliki Sideri-Lampretsa, Hua-Qi Qiu et al. · 0 citations
#artificial intelligence Preprint May 2026

When Does Equivariance Help? Canonical Alignment in Neural Fluid Surrogates

The Anchored-Branched Geometric Algebra Transformer (AB-GATr), an E(3)-equivariant surrogate that efficiently predicts coupled surface and volume quantities, is introduced, and results support explicit equivariance for the evaluated hemodynamic tasks with natural orientation variation.

Patryk Rygiel, J. Suk, K. K. Yeung et al. · 0 citations

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