Name
Abstract | ||
|---|---|---|
A fully automated 2-D+time myocardial segmentation framework is proposed for cardiac magnetic resonance (CMR) blood-oxygen-level-dependent (BOLD) data sets. Ischemia detection with CINE BOLD CMR relies on spatio-temporal patterns in myocardial intensity, but these patterns also trouble supervised segmentation methods, the de facto standard for myocardial segmentation in cine MRI. Segmentation erro... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TMI.2017.2726112 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Myocardium,Image segmentation,Dictionaries,Magnetic resonance imaging,Motion segmentation,Standards,Manuals | Computer vision,De facto standard,Data set,Subspace topology,Segmentation,Markov chain,Image segmentation,Regularization (mathematics),Artificial intelligence,Mathematics,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
36 | 11 | 0278-0062 |
Citations | PageRank | References |
1 | 0.37 | 31 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ilkay Öksüz | 1 | 54 | 9.32 |
| Anirban Mukhopadhyay | 2 | 711 | 50.07 |
| Rohan Dharmakumar | 3 | 29 | 4.66 |
| Sotirios A. Tsaftaris | 4 | 361 | 43.26 |