Name
Title | ||
|---|---|---|
Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis. |
Abstract | ||
|---|---|---|
The quantitative analysis of magnetic resonance imaging (MRI) data has become increasingly important in both research and clinical studies aiming at human brain development, function, and pathology. Inevitably, the role of quantitative image analysis in the evaluation of drug therapy will increase, driven in part by requirements imposed by regulatory agencies. However, the prohibitive length of ti... |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/TMI.2002.806283 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Pipelines,Magnetic resonance imaging,Clinical trials,Multiple sclerosis,Image analysis,Magnetic analysis,Humans,Lesions,Pathology,Drugs | Multiple sclerosis,Image processing,Clinical trial,Image segmentation,Artificial intelligence,Automatic processing,Surgery,Medicine,Computer vision,Pattern recognition,Parallel algorithm,Digital image processing,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
21 | 10 | 0278-0062 |
Citations | PageRank | References |
141 | 11.33 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alex P Zijdenbos | 1 | 216 | 15.58 |
| Reza Forghani | 2 | 141 | 11.33 |
| Alan C. Evans | 3 | 141 | 11.33 |