Name
Title | ||
|---|---|---|
Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study. |
Abstract | ||
|---|---|---|
•Much-needed study on quantitative evaluation and objective comparison of WM lesion segmentation methods.•Using different scanners and different MR protocols in a real-life setting similar to phase-III trials and everyday clinical practice.•The methods perform almost equally well whether parameter tuning is performed using data from the same center or not. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.neuroimage.2017.09.011 | NeuroImage |
Keywords | Field | DocType |
Multiple sclerosis,White matter lesion,Automated methods segmentation,MRI | Lesion,Cognitive psychology,Artificial intelligence,Medicine,Formal testing,Anatomical segmentation,Intraclass correlation,Training set,Mean difference,Computer vision,Pattern recognition,Segmentation,Lesion segmentation | Journal |
Volume | ISSN | Citations |
163 | 1053-8119 | 1 |
PageRank | References | Authors |
0.39 | 9 | 25 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandra de Sitter | 1 | 1 | 0.39 |
| Martijn D. Steenwijk | 2 | 1 | 0.39 |
| Aurélie Ruet | 3 | 1 | 0.39 |
| Adriaan Versteeg | 4 | 1 | 0.39 |
| Yaou Liu | 5 | 1 | 0.39 |
| Ronald A. van Schijndel | 6 | 23 | 1.70 |
| Petra J. W. Pouwels | 7 | 33 | 3.54 |
| Iris D. Kilsdonk | 8 | 1 | 0.39 |
| K. S. Cover | 9 | 53 | 5.12 |
| B W van Dijk | 10 | 71 | 9.28 |
| Stefan Ropele | 11 | 122 | 8.39 |
| Maria Assunta Rocca | 12 | 12 | 2.46 |
| Marios C. Yiannakas | 13 | 1 | 0.39 |
| Mike P. Wattjes | 14 | 1 | 0.39 |
| Soheil Damangir | 15 | 1 | 0.39 |
| Giovanni B. Frisoni | 16 | 170 | 14.72 |
| Jaume Sastre-Garriga | 17 | 1 | 0.39 |
| Alex Rovira | 18 | 1 | 0.39 |
| Christian Enzinger | 19 | 2 | 2.11 |
| Massimo Filippi | 20 | 140 | 15.46 |
| Jette L. Frederiksen | 21 | 1 | 0.39 |
| Olga Ciccarelli | 22 | 553 | 32.87 |
| Ludwig Kappos | 23 | 33 | 5.32 |
| frederik barkhof | 24 | 199 | 23.19 |
| Hugo Vrenken | 25 | 119 | 7.93 |