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Algorithm Development: We develop and release medical image analysis and machine/deep learning algorithms and software tools, for image segmentation, registration, classification, prediction, visualization, integration with non-image data, and information comprehension.
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Computational Neuroscience: We compile lifespan, big-data brain MRI and non-MRI elements to quantitatively characterize normal brain development in structure and function across the lifespan. We emphasize on spatiotemporal granularity, sex differences and hemispheric differences, all toward more precision neuroscience and precision medicine.
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Translational/Clinical Research: We study brain abnormalities, for abnormality detection, patient phenotyping, outcome prediction, treatment evaluation, as well as imaging and non-imaging diagnostic and prognostic biomarkers. The abnormalities we study span from subtle (e.g., malnutrition), mild/moderate (e.g., hypoxic ischemia, atrophy, aging), to severe (e.g., brain tumor) conditions, and include relatively common (psychiatry) as well as rare diseases (e.g., sturge weber).
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