Name
Abstract | ||
|---|---|---|
Multiple sclerosis (MS) is a disease of the white matter. Magnetic resonance imaging (MRI) is proven to be a sensitive method of monitoring the progression of this disease and of its changes due to treatment protocols. Quantification of the severity of the disease through estimation of MS lesion volume via MR imaging is vital for understanding and monitoring the disease and its treatment. This pap... |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/42.640750 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Multiple sclerosis,Lesions,Diseases,Magnetic resonance imaging,Monitoring,Object detection,Protocols,Image segmentation,Fuzzy sets,Mice | Computer vision,Grey matter,Lesion,White matter,Fuzzy logic,Multiple sclerosis,Fuzzy set,Image segmentation,Artificial intelligence,Medicine,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
16 | 5 | 0278-0062 |
Citations | PageRank | References |
96 | 17.97 | 9 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jayaram K. Udupa | 1 | 2481 | 322.29 |
| Luogang Wei | 2 | 97 | 18.63 |
| Supun Samarasekera | 3 | 792 | 85.72 |
| Yukio Miki | 4 | 136 | 23.50 |
| M A van Buchem | 5 | 180 | 27.48 |
| Robert I Grossman | 6 | 111 | 21.35 |