基本信息
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Bio
Dr. Dinov is the Director of the Statistics Online Computational Resource (SOCR) and is an expert in mathematical modeling, statistical analysis, computational processing and scientific visualization of large datasets (Big Data). His applied research is focused on nursing informatics, multimodal biomedical image analysis, and distributed genomics computing. Examples of specific brain research projects Dr. Dinov is involved in include longitudinal morphometric studies of development (e.g., Autism, Schizophrenia), maturation (e.g,. depression, pain) and aging (e.g., Alzheimer’s disease, Parkinson’s disease). He also studies the intricate relations between genetic traits (e.g., SNPs), clinical phenotypes (e.g., disease, behavioral and psychological test) and subject demographics (e.g., race, gender, age) in variety of brain and heart related disorders. Dr. Dinov is developing, validating and disseminating novel technology-enhanced pedagogical approaches for scientific education and active learning.
Research Interests
Papers共 308 篇Author StatisticsCo-AuthorSimilar Experts
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Journal of Statistical Theory and Practiceno. 3 (2024): 1-22
Neuroinformaticspp.1-16, (2024)
Dipesh Niraula,Kyle C Cuneo,Ivo D Dinov,Brian D Gonzalez, Jamalina B Jamaluddin,Jionghua Judy Jin,Yi Luo,Martha M Matuszak,Randall K Ten Haken,Alex K Bryant,Thomas J Dilling, Michael P Dykstra,
medRxiv : the preprint server for health sciences (2024)
Scientific Reportsno. 1 (2023): 1-14
The Springer Series in Applied Machine LearningData Science and Predictive Analyticspp.477-531, (2023)
Frontiers in Pharmacology (2023): 1173596-1173596
Bioengineering (Basel, Switzerland)no. 5 (2023): 575-575
REPRODUCTIVE SCIENCES (2023): 222A-222A
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The Springer Series in Applied Machine LearningData Science and Predictive Analyticspp.773-901, (2023)
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