{"ID":23475106,"CreatedAt":"2026-09-18T01:09:05.407443952Z","UpdatedAt":"2026-09-20T18:11:56.143995915Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2609.19875","arxiv_id":"2609.19875","title":"BINDER: A Latent Variable Model for Probabilistic Medical Image Registration","abstract":"We propose a new probabilistic model for general-purpose medical image registration that builds upon the mutual information registration criterion. It centers around a spatial interpolation technique that assumes latent voxel-wise correspondences between the images being registered. By exploiting these latent variables, we derive dedicated optimization and MCMC sampling techniques that only involve closed-form iterative updates. When applied to nonlinear registration, an efficient demons-like optimization algorithm is obtained that shows robust out-of-the-box performance across a variety of monomodal and multimodal registration tasks. We also demonstrate a corresponding sampler that can quantify, for the first time, uncertainty in multimodal registration scenarios with very high-dimensional 3D deformations. Our code, which we call BINDER (Bayesian INference for DEformable Registration), is freely available at https://github.com/ste93ste/BINDER.","short_abstract":"We propose a new probabilistic model for general-purpose medical image registration that builds upon the mutual information registration criterion. It centers around a spatial interpolation technique that assumes latent voxel-wise correspondences between the images being registered. By exploiting these latent variables...","url_abs":"https://arxiv.org/abs/2609.19875","url_pdf":"https://arxiv.org/pdf/2609.19875v1","authors":"[\"Stefano Cerri\",\"Amirhossein Hassankhani\",\"Yaël Balbastre\",\"Koen Van Leemput\"]","published":"2026-09-17T08:27:02Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false,"code_links":[{"ID":639792,"CreatedAt":"2026-09-18T01:09:05.407443952Z","UpdatedAt":"2026-09-18T01:09:05.407443952Z","DeletedAt":null,"paper_id":23475106,"paper_url":"https://arxiv.org/abs/2609.19875","paper_title":"BINDER: A Latent Variable Model for Probabilistic Medical Image Registration","repo_url":"https://github.com/ste93ste/BINDER","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}