Name
Title | ||
|---|---|---|
An iterative multi-atlas patch-based approach for cortex segmentation from neonatal MRI. |
Abstract | ||
|---|---|---|
•A multi-atlas method is proposed for cortex segmentation from neonatal MRI.•Patch-based paradigm and iterative optimization are used together for segmentation improvement.•Experimental results emphasize the relevance of the approach, compared to the state of the art. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compmedimag.2018.09.003 | Computerized Medical Imaging and Graphics |
Keywords | Field | DocType |
Multi-atlas,Patch-based segmentation,Iterative segmentation,Neonatal MRI,Cortex | Structure analysis,Computer vision,Segmentation,Atlas (anatomy),Artificial intelligence,Medicine,Magnetic resonance imaging | Journal |
Volume | ISSN | Citations |
70 | 0895-6111 | 1 |
PageRank | References | Authors |
0.34 | 21 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Tor-Díez | 1 | 9 | 1.19 |
| Nicolas Passat | 2 | 469 | 46.22 |
| Isabelle Bloch | 3 | 5 | 1.12 |
| Sylvain Faisan | 4 | 32 | 6.99 |
| Nathalie Bednarek | 5 | 10 | 2.22 |
| Francois Rousseau | 6 | 121 | 16.81 |