Ivo Dinov

Affiliations: 
Neurology University of California, Los Angeles, Los Angeles, CA 
Area:
Neuroimaging
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"Ivo Dinov"
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Children

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Brigid M. Wilson grad student 2011 UCLA
Alexandr A. Kalinin grad student 2013-2018 University of Michigan (Computational Biology Tree)

Collaborators

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Daniel J. Valentino collaborator 2002-2007 UCLA
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Publications

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Marino S, Zhao Y, Zhou N, et al. (2020) Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets. Plos One. 15: e0228520
Sta Cruz S, Dinov ID, Herting MM, et al. (2019) Imputation Strategy for Reliable Regional MRI Morphological Measurements. Neuroinformatics
Zhou Y, Zhao L, Zhou N, et al. (2019) Predictive Big Data Analytics using the UK Biobank Data. Scientific Reports. 9: 6012
Zhao L, Matloff W, Ning K, et al. (2018) Age-Related Differences in Brain Morphology and the Modifiers in Middle-Aged and Older Adults. Cerebral Cortex (New York, N.Y. : 1991)
Kalinin AA, Allyn-Feuer A, Ade A, et al. (2018) Publisher Correction: 3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification. Scientific Reports. 8: 16142
Dinov ID, Palanimalai S, Khare A, et al. (2018) Randomization-Based Statistical Inference: A Resampling and Simulation Infrastructure. Teaching Statistics. 40: 64-73
Zheng G, Kalinin AA, Dinov ID, et al. (2018) Hypothesis: Caco-2 cell rotational 3D mechanogenomic turing patterns have clinical implications to colon crypts. Journal of Cellular and Molecular Medicine
Kalinin AA, Allyn-Feuer A, Ade A, et al. (2018) 3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification. Scientific Reports. 8: 13658
Kalinin AA, Higgins GA, Reamaroon N, et al. (2018) Deep learning in pharmacogenomics: from gene regulation to patient stratification. Pharmacogenomics
Sepehrband F, Lynch KM, Cabeen RP, et al. (2018) Neuroanatomical morphometric characterization of sex differences in youth using statistical learning. Neuroimage. 172: 217-227
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