Name
Title | ||
|---|---|---|
Automatic spinal cord localization, robust to MRI contrasts using global curve optimization. |
Abstract | ||
|---|---|---|
•Automatic, fast and robust method to detect the center of the spinal cord on MRI data.•Machine learning based method followed by a global curve optimization.•Brain and spine regions are automatically separated at the pontomedullary junction.•Validation on 804 images, 4 contrasts, 20 centers, large amount of patients.•Better results compared to a state-of-the-art technique. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.media.2017.12.001 | Medical Image Analysis |
Keywords | Field | DocType |
Spinal cord,MRI,Detection,Segmentation,Global optimization,Machine learning | Spinal cord,Computer vision,Pattern recognition,Hough transform,Image processing,Mean squared error,Wilcoxon signed-rank test,Contrast (statistics),Artificial intelligence,Probabilistic logic,Split-brain,Mathematics | Journal |
Volume | ISSN | Citations |
44 | 1361-8415 | 2 |
PageRank | References | Authors |
0.40 | 12 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Charley Gros | 1 | 3 | 1.47 |
| De Leener, B. | 2 | 104 | 7.69 |
| Sara M. Dupont | 3 | 20 | 2.32 |
| Allan R. Martin | 4 | 8 | 1.37 |
| Michael G Fehlings | 5 | 50 | 4.23 |
| Rohit Bakshi | 6 | 3 | 1.43 |
| Subhash Tummala | 7 | 2 | 0.73 |
| Vincent Auclair | 8 | 8 | 1.37 |
| Donald G. McLaren | 9 | 139 | 10.61 |
| Virginie Callot | 10 | 59 | 4.76 |
| Julien Cohen-Adad | 11 | 472 | 29.21 |
| Michaël Sdika | 12 | 81 | 9.17 |