Vector field attention for deformable image registration
VFA offers a novel approach to deformable image registration by directly retrieving spatial correspondences from feature maps, leading to improved performance in registration tasks. It holds potential for broader applications.
Authors
- Lianrui Zuo (ORCID: https://orcid.org/0000-0002-5923-9097)
- Jerry L. Prince (ORCID: https://orcid.org/0000-0002-6553-0876)
- Aaron Carass (ORCID: https://orcid.org/0000-0003-4939-5085)
- Junyu Chen (ORCID: https://orcid.org/0009-0004-4657-1850)
- Yihao Liu (ORCID: https://orcid.org/0000-0002-2654-9793)
Institutions
- Johns Hopkins University (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1117/1.jmi.11.6.064001
- Citations
- 5
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.25
Funders
- Johns Hopkins University
- National Institutes of Health
- National Eye Institute
- National Institute of Neurological Disorders and Stroke