Intensity Gradient Based Registration and Fusion of Multi-modal Images

By Eldad Haber, Jan Modersitzki. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2006

400 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/21338de468b3ad49b4b8fc0bda53167ed569ade6

How researchers see this paper

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

In Computational Mechanics

1. Aristeidis Sotiras
2. Christos Davatzikos
3. Nikos Paragios
4. Daniel Cremers

In Computer Vision and Pattern Recognition

1. Nikos Paragios
2. Aristeidis Sotiras
3. Christos Davatzikos
4. Mark Jenkinson
5. M. Brady
6. Mattias Paul Heinrich
7. Julia Anne Schnabel
8. Dinggang Shen

Citations in the corpus

• MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration (2012, methodology): “(2010), Haber and Modersitzki (2006), and Studholme et al.”
• Deformable Medical Image Registration: A Survey (2013, background): “Haber and Modersitzki [295] assumed that borders of anatomical structures correspond to intensity changes and thus opted to exploit intensity gradient information.”