Name
Title | ||
|---|---|---|
Evaluation of automatic neonatal brain segmentation algorithms: the NeoBrainS12 challenge. |
Abstract | ||
|---|---|---|
•Automatic algorithms for neonatal brain segmentation in MR images were compared.•Preterm infants underwent MRI at 30 and 40 weeks corrected gestational age.•Images were acquired axially and coronally with a 3T MRI scanner.•Automatic segmentation of brain tissues in neonatal brain MRI is feasible.•Automatic segmentation of myelinated white matter in these images is not reliable. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.media.2014.11.001 | Medical Image Analysis |
Keywords | Field | DocType |
Neonatal brain,MRI,Brain segmentation,Segmentation evaluation,Segmentation comparison | Corrected Age,Grey matter,Coronal plane,White matter,Cerebrospinal fluid,Artificial intelligence,Medicine,Brainstem,Basal ganglia,Brain segmentation,Computer vision,Algorithm,Radiology | Journal |
Volume | Issue | ISSN |
20 | 1 | 1361-8415 |
Citations | PageRank | References |
27 | 0.99 | 19 |
Authors | ||
21 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ivana Isgum | 1 | 766 | 50.08 |
| Manon J. N. L. Benders | 2 | 180 | 11.51 |
| Brian B. Avants | 3 | 2595 | 124.93 |
| Manuel Jorge Cardoso | 4 | 478 | 39.26 |
| serena j counsell | 5 | 338 | 20.27 |
| Elda Fischi Gomez | 6 | 27 | 0.99 |
| Laura Gui | 7 | 27 | 0.99 |
| Petra S Hüppi | 8 | 80 | 4.70 |
| Karina J. Kersbergen | 9 | 52 | 3.61 |
| Antonios Makropoulos | 10 | 203 | 11.11 |
| Andrew Melbourne | 11 | 27 | 0.99 |
| Pim Moeskops | 12 | 27 | 0.99 |
| Christian Mol | 13 | 46 | 2.36 |
| M Murgasova | 14 | 195 | 9.84 |
| Daniel Rueckert | 15 | 9338 | 637.58 |
| Julia A Schnabel | 16 | 1978 | 151.49 |
| Vedran Srhoj-Egekher | 17 | 39 | 2.64 |
| Jue Wu | 18 | 27 | 0.99 |
| Siying Wang | 19 | 28 | 1.34 |
| Linda S de Vries | 20 | 127 | 3.78 |
| Max A Viergever | 21 | 7946 | 833.77 |