Name
Abstract | ||
|---|---|---|
The results achieved after the evaluation demonstrate that the proposed algorithm is robust and accurate for the automatic extraction of the aorta geometry for both normal (with and without contrast) and abnormal CT volumes. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11548-018-1861-0 | International journal of computer assisted radiology and surgery |
Keywords | Field | DocType |
Aorta,Ellipse tracking,Centerline,Cross section,CT images | Segmentation,Computed tomography,Radiology,Ellipse,Geometry,Medicine,Aortic Diseases,Aortic lumen,Aorta | Journal |
Volume | Issue | ISSN |
14 | 2 | 1861-6429 |
Citations | PageRank | References |
1 | 0.36 | 9 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pablo G. Tahoces | 1 | 127 | 16.27 |
| L. Alvarez | 2 | 285 | 39.37 |
| Esther González | 3 | 9 | 2.60 |
| Carmelo Cuenca | 4 | 16 | 6.12 |
| Agustín Trujillo | 5 | 32 | 8.34 |
| Daniel Santana-Cedrés | 6 | 35 | 6.01 |
| Julio Esclarín | 7 | 35 | 4.47 |
| Luis Gomez | 8 | 37 | 6.88 |
| L. Mazorra | 9 | 38 | 6.69 |
| Miguel Alemán-Flores | 10 | 69 | 12.06 |
| Jose M Carreira | 11 | 14 | 2.97 |