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Multimodal Brain Image Analysis [2011]
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Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging
- 10
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Joint T1 and Brain Fiber Diffeomorphic Registration Using the Demons
- 19
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Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps
- 27
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Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net
- 35
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Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins
- 44
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Ordinal Ranking for Detecting Mild Cognitive Impairment and Alzheimer’s Disease Based on Multimodal Neuroimages and CSF Biomarkers
- 52
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Manual Annotation, 3-D Shape Reconstruction, and Traumatic Brain Injury Analysis
- 60
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Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer’s Disease
- 68
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Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures
- 76
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<Emphasis Type="Italic">T</Emphasis> <Subscript>1</Subscript> Mapping, AIF and Pharmacokinetic Parameter Extraction from Dynamic Contrast Enhancement MRI Data
- 84
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Ventricle Shape Analysis for Centenarians, Elderly Subjects, MCI and AD Patients
- 93
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Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images
- 102
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Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data
- 110
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Segmentation of Medical Images of Different Modalities Using Distance Weighted C-V Model
- 118
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Evaluation of Traumatic Brain Injury Patients Using a Shape-Constrained Deformable Model
- 126
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Human Brain Mapping with Conformal Geometry and Multivariate Tensor-Based Morphometry
- 135
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Information-Theoretic Multi-modal Image Registration Based on the Improved Fast Gauss Transform: Application to Brain Images
- 143
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Simultaneous Brain Structures Segmentation Combining Shape and Pose Forces
- 152
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Improved Tissue Segmentation by Including an MR Acquisition Model