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Chapter and Conference Paper
Combining Surface and Fiber Geometry: An Integrated Approach to Brain Morphology
Despite the fact that several theories link cortical development and function to the development of white matter and its geometrical structure, the relationship between gray and white matter morphology has not...
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Chapter and Conference Paper
Connectivity Subnetwork Learning for Pathology and Developmental Variations
Network representation of brain connectivity has provided a novel means of investigating brain changes arising from pathology, development or aging. The high dimensionality of these networks demands methods th...
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Chapter and Conference Paper
Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering
The clustering of fibers into bundles is an important task in studying the structure and function of white matter. Existing technology mostly relies on geometrical features, such as the shape of fibers, and th...
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Chapter and Conference Paper
Identifying Sub-Populations via Unsupervised Cluster Analysis on Multi-Edge Similarity Graphs
Pathologies like autism and schizophrenia are a broad set of disorders with multiple etiologies in the same diagnostic category. This paper presents a method for unsupervised cluster analysis using multi-edge ...