Author

Vasiliki Sideri-Lampretsa

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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. · IEEE Transactions on Medical... · 0 citations

#artificial intelligence Preprint Sep 2026

What Makes a Good Medical Image Tokenizer? Rethinking Reconstruction and Generation in Medical Image Tokenization

Latent diffusion models now dominate medical image generation, and every such pipeline rests on a \emph{tokenizer} that compresses images into the latent codes for image generation to operate on. Thereby, the tokenizer choice bounds every downstream task from reconstruction fidelity and generation quality to the repres...

Niklas Bubeck, Yundi Zhang, Vasiliki Sideri-Lampretsa et al. · 0 citations