5 Result(s)
within
Chapter
Vince D. Calhoun
Computer Science
Data Mining and Knowledge Discovery
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Chapter and Conference Paper
Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-subject FMRI Data: Application to Schizophrenia
Group temporal and spatial features of multi-subject fMRI data are essential for studying mental disorders, especially those exhibiting dynamic properties of brain function. Taking advantages of a low-rank Tuc...
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Chapter and Conference Paper
Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks
Deep learning has contributed greatly to functional magnetic resonance imaging (fMRI) analysis, however, spatial maps derived from fMRI data by independent component analysis (ICA), as promising biomarkers, ha...
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Chapter
Imaging Genetics: Information Fusion and Association Techniques Between Biomedical Images and Genetic Factors
The development of advanced medical imaging technologies and high-throughput genomic measurements has enhanced our understanding of their interplay as well as their relationship with human behavior. In this ch...
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Chapter and Conference Paper
SchizConnect: Virtual Data Integration in Neuroimaging
In many scientific domains, including neuroimaging studies, there is a need to obtain increasingly larger cohorts to achieve the desired statistical power for discovery. However, the economics of imaging studi...
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Chapter and Conference Paper
Terminology Development Towards Harmonizing Multiple Clinical Neuroimaging Research Repositories
Data sharing and mediation across disparate neuroimaging repositories requires extensive effort to ensure that the different domains of data types are referred to by commonly agreed upon terms. Within the Schi...
