RAIN
(Research using Artificial Intelligence in Neuroscience)
The RAIN Lab explores the intersection of artificial intelligence and neuroscience, with a focus on understanding neurological conditions and disorders. The lab uses computational and data-driven approaches like deep learning and neuroimaging techniques to study the neurological and neurodevelopmental conditions that can support research, diagnosis, monitoring, and treatment planning. Through interdisciplinary research, the lab contributes to advancing knowledge and innovation in brain health.
Research Projects
Motion Analysis for Clinical Classification of Dystonia Patients using Deep Learning
Motion Analysis for Clinical Classification of Dystonia Patients using Deep Learning
Computer Vision | Deep Learning | Neuroscience | Clinical Decision SupportDNDBDA
+1
Structural connectivity analysis in autism spectrum disorder using diffusion tensor imaging (DTI)
Structural connectivity analysis in autism spectrum disorder using diffusion tensor imaging (DTI)
Neuroimaging | NeuroscienceSKDN
Deep Learning-based Pose Estimation for Dystonia Score Prediction
Deep Learning-based Pose Estimation for Dystonia Score Prediction
Deep Learning | Neurological Disorders | 3D Computer VisionSGDBDN
+1
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