Brain Extraction Using Label Propagation and Group Agreement: Pincram.
Accurately delineating the brain on magnetic resonance (MR) images of the head is a prerequisite for many neuroimaging methods. Most existing methods exhibit disadvantages in that they are laborious, yield inconsistent results, and/or require training data to closely match the data to be processed....
Saved in:
| Main Authors: | Rolf A Heckemann, Christian Ledig, Katherine R Gray, Paul Aljabar, Daniel Rueckert, Joseph V Hajnal, Alexander Hammers |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0129211 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Correction: Brain Extraction Using Label Propagation and Group Agreement: Pincram.
by: Rolf A Heckemann, et al.
Published: (2015-01-01) -
Classification and lateralization of temporal lobe epilepsies with and without hippocampal atrophy based on whole-brain automatic MRI segmentation.
by: Shiva Keihaninejad, et al.
Published: (2012-01-01) -
Magnetic resonance imaging of the newborn brain: automatic segmentation of brain images into 50 anatomical regions.
by: Ioannis S Gousias, et al.
Published: (2013-01-01) -
Clinicians’ Agreement on Extrapulmonary Radiographic Findings in Chest X-Rays Using a Diagnostic Labelling Scheme
by: Lea Marie Pehrson, et al.
Published: (2025-04-01) -
Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication study
by: Justin Schneiderman, et al.
Published: (2022-07-01)