scholarly article | Q13442814 |
P50 | author | Paul A. Yushkevich | Q41521882 |
P2093 | author name string | Hongzhi Wang | |
P2860 | cites work | A generative model for image segmentation based on label fusion | Q24600552 |
Advances in functional and structural MR image analysis and implementation as FSL | Q29547164 | ||
Combination strategies in multi-atlas image segmentation: application to brain MR data | Q33410713 | ||
Mapping the evolution of regional atrophy in Alzheimer's disease: unbiased analysis of fluid-registered serial MRI. | Q34049885 | ||
Nearly automatic segmentation of hippocampal subfields in in vivo focal T2-weighted MRI | Q34126524 | ||
Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation | Q34131486 | ||
A learning-based wrapper method to correct systematic errors in automatic image segmentation: consistently improved performance in hippocampus, cortex and brain segmentation | Q34629097 | ||
Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain | Q34656983 | ||
Hippocampus-specific fMRI group activation analysis using the continuous medial representation. | Q36487818 | ||
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration | Q37354896 | ||
MR determination of hippocampal volume: comparison of three methods. | Q39052106 | ||
Optimal weights for multi-atlas label fusion. | Q39463015 | ||
Regression-Based Label Fusion for Multi-Atlas Segmentation | Q41843142 | ||
Appearance and incomplete label matching for diffeomorphic template based hippocampus segmentation. | Q44535694 | ||
Towards accurate, automatic segmentation of the hippocampus and amygdala from MRI by augmenting ANIMAL with a template library and label fusion. | Q48213285 | ||
Automatic anatomical brain MRI segmentation combining label propagation and decision fusion | Q48465201 | ||
Multi-atlas-based segmentation with local decision fusion--application to cardiac and aortic segmentation in CT scans. | Q51856970 | ||
Random field model for integration of local information and global information. | Q51874948 | ||
Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains. | Q52000529 | ||
Nonlocal patch-based label fusion for hippocampus segmentation | Q57041552 | ||
P921 | main subject | bias | Q742736 |
P304 | page(s) | 909-916 | |
P577 | publication date | 2012-06-01 | |
P1433 | published in | Conference on Computer Vision and Pattern Recognition Workshops . IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops | Q27723631 |
P1476 | title | Spatial Bias in Multi-Atlas Based Segmentation | |
P478 | volume | 2012 |
Q34473063 | A direct morphometric comparison of five labeling protocols for multi-atlas driven automatic segmentation of the hippocampus in Alzheimer's disease |
Q36856163 | Accurate and Fully Automatic Hippocampus Segmentation Using Subject-Specific 3D Optimal Local Maps Into a Hybrid Active Contour Model |
Q39026703 | Adaptive radiation therapy in head and neck cancer for clinical practice: state of the art and practical challenges |
Q63387001 | Atlas-based under-segmentation |
Q37004118 | Automated Hippocampal Subfield Segmentation at 7T MRI. |
Q48103324 | Local manifold learning for multiatlas segmentation: application to hippocampal segmentation in healthy population and Alzheimer's disease. |
Q26825130 | Multi-atlas segmentation of biomedical images: A survey |
Q42004546 | Multi-atlas segmentation with joint label fusion and corrective learning-an open source implementation |
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