On evaluating brain tissue classifiers without a ground truth.
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Multi-atlas segmentation of biomedical images: A surveyAtlas-guided segmentation of vervet monkey brain MRIThe Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)Association of frontal and posterior cortical gray matter volume with time to alcohol relapse: a prospective studyVolumetric parcellation methodology of the human hypothalamus in neuroimaging: normative data and sex differences.Childhood maltreatment, altered limbic neurobiology, and substance use relapse severity via trauma-specific reductions in limbic gray matter volumeA Scalable Framework For Segmenting Magnetic Resonance Images.A mutual information-based metric for evaluation of fMRI data-processing approaches.Comparing prefrontal gray and white matter contributions to intelligence and decision making in schizophrenia and healthy controls.Orbitofrontal volume deficit in schizophrenia and thought disorder.Cumulative adversity and smaller gray matter volume in medial prefrontal, anterior cingulate, and insula regionsInteractive semiautomatic contour delineation using statistical conditional random fields frameworkIn search of the functional neuroanatomy of sociality: MRI subdivisions of orbital frontal cortex and social cognitionRepresentation of lesion similarity by use of multidimensional scaling for breast masses on mammograms.Pituitary volume in schizophrenia spectrum disorders.Prenatal cocaine exposure and gray matter volume in adolescent boys and girls: relationship to substance use initiation.Neocortical gray matter volume in first-episode schizophrenia and first-episode affective psychosis: a cross-sectional and longitudinal MRI study.A New MRI Masking Technique Based on Multi-Atlas Brain Segmentation in Controls and Schizophrenia: A Rapid and Viable Alternative to Manual Masking.Spatially regularized mixture model for lesion segmentation with application to stroke patients.Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field.Neuropsychological variability, symptoms, and brain imaging in chronic schizophrenia.Assessment of tissue edema in patients with acute myocardial infarction by computer-assisted quantification of triple inversion recovery prepared MRI of the myocardium.Computer Vision Evidence Supporting Craniometric Alignment of Rat Brain Atlases to Streamline Expert-Guided, First-Order Migration of Hypothalamic Spatial Datasets Related to Behavioral Control.
P2860
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P2860
On evaluating brain tissue classifiers without a ground truth.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 25 April 2007
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
On evaluating brain tissue classifiers without a ground truth.
@en
On evaluating brain tissue classifiers without a ground truth.
@nl
type
label
On evaluating brain tissue classifiers without a ground truth.
@en
On evaluating brain tissue classifiers without a ground truth.
@nl
prefLabel
On evaluating brain tissue classifiers without a ground truth.
@en
On evaluating brain tissue classifiers without a ground truth.
@nl
P2093
P2860
P50
P1433
P1476
On evaluating brain tissue classifiers without a ground truth.
@en
P2093
Lida Ungar
Min-Seong Koo
Motoaki Nakamura
P2860
P304
P356
10.1016/J.NEUROIMAGE.2007.04.031
P407
P577
2007-04-25T00:00:00Z