Name
Title | ||
|---|---|---|
Reducing the Effects of Motion Artifacts in fMRI: A Structured Matrix Completion Approach |
Abstract | ||
|---|---|---|
Functional MRI (fMRI) is widely used to study the functional organization of normal and pathological brains. However, the fMRI signal may be contaminated by subject motion artifacts that are only partially mitigated by motion correction strategies. These artifacts lead to distance-dependent biases in the inferred signal correlations. To mitigate these spurious effects, motion-corrupted volumes are... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TMI.2021.3107829 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Functional magnetic resonance imaging,Time series analysis,Correlation,Volume measurement,Transmission line matrix methods,Signal resolution,National Institutes of Health | Journal | 41 |
Issue | ISSN | Citations |
1 | 0278-0062 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arvind Balachandrasekaran | 1 | 0 | 0.34 |
| Alexander L Cohen | 2 | 0 | 0.34 |
| Onur Afacan | 3 | 0 | 0.34 |
| Simon K Warfield | 4 | 0 | 0.34 |
| Ali Gholipour | 5 | 447 | 37.90 |