Name
Title | ||
|---|---|---|
An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model. |
Abstract | ||
|---|---|---|
Statistical shape models (SSMs) have been widely employed in cardiac image segmentation. However, in conditions that induce severe shape abnormality and remodeling, such as in the case of pulmonary hypertension (PH) or hypertrophic cardiomyopathy (HCM), a single SSM is rarely capable of capturing the anatomical variability in the extremes of the distribution. This work presents a new algorithm for... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TMI.2015.2497906 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Shape,Heart,Image segmentation,Reliability,Biomedical imaging,Deformable models,Pathology | Computer vision,Scale-space segmentation,Reference model,Boundary (topology),Segmentation,Algorithm,Abnormality,Segmentation-based object categorization,Robustness (computer science),Image segmentation,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
35 | 3 | 0278-0062 |
Citations | PageRank | References |
4 | 0.44 | 32 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xènia Albà | 1 | 31 | 6.33 |
| Marco Pereañez | 2 | 31 | 6.77 |
| Corné Hoogendoorn | 3 | 73 | 9.80 |
| Andrew J. Swift | 4 | 9 | 1.61 |
| Jim M. Wild | 5 | 9 | 2.29 |
| Alejandro F. Frangi | 6 | 4333 | 309.21 |
| Karim Lekadir | 7 | 199 | 17.68 |