Cited by 127Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot LearningArtificial Intelligence in Healthcare and Education

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Fast Predictive Image Registration

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Yang, Xiao, Kwitt, Roland, Niethammer, Marc·2016·Lecture Notes in Computer Science

DOI 10.1007/978-3-319-46976-8_6

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Authors: Yang, X., Kwitt, R., & Niethammer, M.
Affiliations: University of North Carolina at Chapel Hill (US)
University of Salzburg (AT)
Corresponding author: Yang, Xiao
ORCID: Yang, Xiao
Kwitt, Roland
Niethammer, Marc
Venue: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Published: 2016
Pages: 48-57
ISSN: 0302-9743 (ISSN-L)
1611-3349
DOI: 10.1007/978-3-319-46976-8_6
OpenAlex: W2482922118
Cited by: 127
References: 20
Citations by year: 2026: 1 · 2025: 5 · 2024: 10 · 2023: 17 · 2022: 14 · 2021: 18 · 2020: 14 · 2019: 23 · 2018: 8 · 2017: 17
FWCI: 5.55
Type: conference paper
Language: en
Open access: green
arxiv.org
Licence: www.springer.com/tdm (unspecified)
Locations: Lecture notes in computer science (publishedVersion)
arXiv (Cornell University) (submittedVersion)
arXiv (Cornell University)
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords: image registration, deformation prediction, LDDMM, diffeomorphic registration, Bayesian neural networks, uncertainty estimation, dropout, brain MRI registration, OASIS dataset

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