Elastic registration of biological images using vector-spline regularization

By Carlos Oscar Sánchez Sorzano, Philippe Thévenaz, Michael A. Unser. IEEE Transactions on Biomedical Engineering, 2005

347 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Biophysics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/07a53d72626a463272afb2688034e70cde3696e3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Mark Holden
2. Thomas Martin Deserno
3. Benjamin Berkels
4. András P. Keszei
5. Ignacio Arganda-Carreras

In Biophysics

1. Mark Holden
2. Thomas Martin Deserno
3. Benjamin Berkels
4. András P. Keszei
5. Carlos Ortiz-de-Solorzano

In Computer Vision and Pattern Recognition

1. Thomas Martin Deserno
2. Benjamin Berkels
3. András P. Keszei
4. Mark Holden
5. Carlos Oscar Sánchez Sorzano
6. Ignacio Arganda-Carreras
7. Carlos Ortiz-de-Solorzano
8. J. M. Carazo

Citations in the corpus

• Consistent and Elastic Registration of Histological Sections Using Vector-Spline Regularization (2006, methodology): “Following [11] we represent the deformation fields as a linear combination of B-splines.”
• Survey of Non-Rigid Registration Tools in Medicine (2017, methodology): “The registration method is based on B-spline model to describe the deformation field and vectorspline regularization [61].”
• A Review of Geometric Transformations for Nonrigid Body Registration (2008, methodology): “[123] used cubic B-splines to model both image deformation and also to interpolate images.”