Name
Abstract | ||
|---|---|---|
Our approach enables an expert user to easily segment the open mitral valve in CT data, even when image noise or low contrast limits the visibility of the valve. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s11548-018-1831-6 | Int. J. Computer Assisted Radiology and Surgery |
Keywords | Field | DocType |
Mitral valve,Modeling,Segmentation,Geometry,Computed tomography | Computer vision,Visibility,Segmentation,Visualization,Computed tomography,Artificial intelligence,Radiology,Medicine,Mitral valve | Journal |
Volume | Issue | ISSN |
13 | 11 | 1861-6410 |
Citations | PageRank | References |
1 | 0.44 | 14 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lennart Tautz | 1 | 65 | 9.79 |
| Mathias Neugebauer | 2 | 174 | 15.67 |
| Markus Huellebrand | 3 | 17 | 3.22 |
| Katharina Vellguth | 4 | 1 | 0.78 |
| Franziska Degener | 5 | 2 | 1.26 |
| Simon H. Sündermann | 6 | 6 | 4.15 |
| Isaac Wamala | 7 | 1 | 0.78 |
| Leonid Goubergrits | 8 | 5 | 5.64 |
| titus kuehne | 9 | 2 | 3.85 |
| Volkmar Falk | 10 | 128 | 18.33 |
| Anja Hennemuth | 11 | 159 | 25.15 |