Appearance-based modeling for segmentation of hippocampus and amygdala using multi-contrast MR imaging.
about
Automated methods for hippocampus segmentation: the evolution and a review of the state of the art.Analysis of the MIRIAD Data Shows Sex Differences in Hippocampal Atrophy Progression.Automatic hippocampus segmentation of 7.0 Tesla MR images by combining multiple atlases and auto-context modelsA direct morphometric comparison of five labeling protocols for multi-atlas driven automatic segmentation of the hippocampus in Alzheimer's disease.Reduced hippocampal volume and hypothalamus-pituitary-adrenal axis function in first episode psychosis: evidence for sex differencesAutomatic segmentation of the hippocampus for preterm neonates from early-in-life to term-equivalent age.Accurate and Fully Automatic Hippocampus Segmentation Using Subject-Specific 3D Optimal Local Maps Into a Hybrid Active Contour Model.A reliable protocol for the manual segmentation of the human amygdala and its subregions using ultra-high resolution MRIAutomated segmentation of basal ganglia and deep brain structures in MRI of Parkinson's disease.Automatic Thalamus Segmentation from Magnetic Resonance Images Using Multiple Atlases Level Set Framework (MALSF).Visualization of the amygdalo-hippocampal border and its structural variability by 7T and 3T magnetic resonance imaging.The bumps under the hippocampus.Interplay of hippocampal volume and hypothalamus-pituitary-adrenal axis function as markers of stress vulnerability in men at ultra-high risk for psychosis.Nonlocal regularization for active appearance model: Application to medial temporal lobe segmentation.
P2860
Q30961046-C052CB0A-AA1C-4F81-990D-C533D277318BQ31042195-DC6E6900-AC33-4CC4-8FF7-6D116608AA46Q33809075-837E52E1-70FD-4F95-BA0E-3A9DED02278CQ34473063-441F5CC5-9158-4BAA-9886-896BCF2EDA5EQ34988625-876FEBF2-B7A8-45AB-AE25-0A62F96FE83BQ35887877-D85294A3-78A9-4F9E-8C8C-A5B8293057E0Q36856163-58B3103F-6512-4CB6-9E03-5E6CCBB2E553Q36881529-55C83FE4-4DC5-4343-B4FF-932F001B350CQ37070278-41C4B856-2E7D-48B9-B634-B1CA079E4B04Q41025581-9D330FF6-2D94-42BD-8949-38DE04AD596AQ45374726-F07C4394-9CEC-4296-9805-8780F302BCADQ47421914-E1FE8A28-CFB8-422C-9CB7-5E28EC9EC83EQ47903993-CCFF7A2E-BAB4-4B60-B724-04ABE5B15001Q48372506-12D0F917-3852-4A40-8A92-C7536C8B1B3E
P2860
Appearance-based modeling for segmentation of hippocampus and amygdala using multi-contrast MR imaging.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh
2011年學術文章
@zh-hant
name
Appearance-based modeling for ...... ing multi-contrast MR imaging.
@en
Appearance-based modeling for ...... ing multi-contrast MR imaging.
@nl
type
label
Appearance-based modeling for ...... ing multi-contrast MR imaging.
@en
Appearance-based modeling for ...... ing multi-contrast MR imaging.
@nl
prefLabel
Appearance-based modeling for ...... ing multi-contrast MR imaging.
@en
Appearance-based modeling for ...... ing multi-contrast MR imaging.
@nl
P50
P1433
P1476
Appearance-based modeling for ...... sing multi-contrast MR imaging
@en
P2093
P304
P356
10.1016/J.NEUROIMAGE.2011.06.054
P407
P577
2011-06-25T00:00:00Z