LAUSR

Subject‐Level Segmentation Precision Weights for Volumetric Studies Involving Label Fusion

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0 Published in 2024 at "Human Brain Mapping"

DOI: 10.1002/hbm.70082

Abstract: In neuroimaging research, volumetric data contribute valuable information for understanding brain changes during both healthy aging and pathological processes. Extracting these measures from images requires segmenting the regions of interest (ROIs), and many popular methods… read more here.

Keywords: segmentation; precision weights; subject level; segmentation precision ... See more keywords

Comparing multiple imputation methods for systematically missing subject-level data.

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0 Published in 2017 at "Research synthesis methods"

DOI: 10.1002/jrsm.1192

Abstract: When conducting research synthesis, the collection of studies that will be combined often do not measure the same set of variables, which creates missing data. When the studies to combine are longitudinal, missing data can… read more here.

Keywords: subject level; missing subject; multiple imputation; level ... See more keywords

QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction

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0 Published in 2024 at "Medical image analysis"

DOI: 10.48550/arxiv.2412.07156

Abstract: Deep learning has made significant strides in automated brain tumor segmentation from magnetic resonance imaging (MRI) scans in recent years. However, the reliability of these tools is hampered by the presence of poor-quality segmentation outliers,… read more here.

Keywords: quality; segmentation quality; segmentation; subject level ... See more keywords