AIMC Topic: Organ Size

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Learning-based subject-specific estimation of dynamic maps of cortical morphology at missing time points in longitudinal infant studies.

Human brain mapping Nov 1, 2016
Longitudinal neuroimaging analysis of the dynamic brain development in infants has received increasing attention recently. Many studies expect a complete longitudinal dataset in order to accurately chart the brain developmental trajectories. However,...
Longitudinal Studies Magnetic Resonance Imaging Image Processing, Computer-Assisted Neuroimaging Cerebral Cortex Organ Size Regression Analysis Machine Learning Humans Child, Preschool Infant
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An automated bladder volume measurement algorithm by pixel classification using random forests.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Residual bladder volume measurement is a very important marker for patients with urinary retention problems. To be able to monitor patients with these conditions at the bedside by nurses or in an out patient setting by general physicians, hand held u...
Urinary Bladder Urinary Retention Image Processing, Computer-Assisted Pattern Recognition, Automated Organ Size Algorithms Ultrasonography Humans
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Fetal thymus volume estimation by virtual organ computer-aided analysis in normal pregnancies.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine May 1, 2015
OBJECTIVES: The thymus has a pyramidal shape, which is best shown in coronal planes. The aim of this study was to evaluate the potential of virtual organ computer-aided analysis to estimate fetal thymus volume in normal pregnancies.
Sensitivity and Specificity Male Reproducibility of Results Imaging, Three-Dimensional Organ Size User-Computer Interface Ultrasonography, Prenatal Algorithms Female Pregnancy Humans Machine Learning Image Enhancement Thymus Gland Image Interpretation, Computer-Assisted
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Defining multivariate normative rules for healthy aging using neuroimaging and machine learning: an application to Alzheimer's disease.

Journal of Alzheimer's disease : JAD Jan 1, 2015
BACKGROUND: Neuroimaging techniques combined with computational neuroanatomy have been playing a role in the investigation of healthy aging and Alzheimer's disease (AD). The definition of normative rules for brain features is a crucial step to establ...
Multivariate Analysis Aging Cognitive Dysfunction Middle Aged Sensitivity and Specificity Male Aged, 80 and over Alzheimer Disease Organ Size Pattern Recognition, Automated Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Unsupervised Machine Learning Support Vector Machine Humans Female Aged Brain Databases, Factual
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