Name
Abstract | ||
|---|---|---|
•Supervised learning method to learn the transformation aligning a pair of images directly from their appearance.•Application to a broad range of imaging modalities.•Registration with increased capture range when compared to other similarity metrics.•Flexibility to be used with different parametrizations. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.media.2017.05.002 | Medical Image Analysis |
Keywords | Field | DocType |
Image registration,Machine learning,Multimodal registration,Motion estimation | Modalities,Computer vision,Feature vector,Pattern recognition,Parametrization,Regression,Computer science,Artificial intelligence,Motion estimation,Generality,Image registration,Visual appearance | Journal |
Volume | ISSN | Citations |
41 | 1361-8415 | 3 |
PageRank | References | Authors |
0.39 | 30 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benjamín Gutiérrez-Becker | 1 | 36 | 2.18 |
| Diana Mateus | 2 | 417 | 32.74 |
| Loïc Peter | 3 | 52 | 6.50 |
| Nassir Navab | 4 | 111 | 29.48 |