Name
Abstract | ||
|---|---|---|
Standard parameter estimation from vascular magnetic resonance fingerprinting (MRF) data is based on matching the MRF signals to their best counterparts in a grid of coupled simulated signals and parameters, referred to as a dictionary. To reach a good accuracy, the matching requires an informative dictionary whose cost, in terms of design, storage and exploration, is rapidly prohibitive for even ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TMI.2021.3066781 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Dictionaries,Computational modeling,Standards,Data models,Adaptation models,Deep learning,Parameter estimation | Journal | 40 |
Issue | ISSN | Citations |
7 | 0278-0062 | 1 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabien Boux | 1 | 1 | 0.36 |
| Florence Forbes | 2 | 381 | 19.21 |
| Julyan Arbel | 3 | 3 | 3.12 |
| Benjamin Lemasson | 4 | 1 | 1.03 |
| Emmanuel L Barbier | 5 | 6 | 2.68 |