Cited by 43Medical Image Segmentation TechniquesMedical Imaging and AnalysisAdvanced Radiotherapy Techniques

Evaluation of Intensity-Based 2D-3D Spine Image Registration Using Clinical Gold-Standard Data

Russakoff, Daniel B., Rohlfing, Torsten, Ho, Anthony, Kim, Daniel H., Shahidi, Ramin, Adler, John R., Maurer, Calvin R.·2003·Lecture Notes in Computer Science

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Crossref · 10.1007/978-3-540-39701-4_16

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References 14 · Cited by 43

Authors
Russakoff, D. B., Rohlfing, T., Ho, A., Kim, D. H., Shahidi, R., Adler, J. R., & Maurer, C. R.
Affiliations
Stanford Medicine (US)
Corresponding author
Russakoff, Daniel B.
Venue
Lecture Notes in Computer Science
Published
2003
Pages
151-160
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W1527240959
Cited by
43
References
14
Citations by year
2026: 1 · 2025: 1 · 2023: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2015: 1 · 2014: 2 · 2013: 3 · 2012: 4
FWCI
3.69
Type
conference paper
Language
en
Open access
closed
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
  • Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
Keywords
2D-3D registration, spinal imaging, intensity-based registration, image similarity measures, mutual information, cross correlation function, gradient correlation, target registration error, bone implants

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