☰

Ivo Dinov

Affiliations: 
Neurology University of California, Los Angeles, Los Angeles, CA 
Area:
Neuroimaging
Google:
"Ivo Dinov"
Mean distance: 53433
 
Tree Publications Grants Similar researchers PubMed Report error

Parents

Sign in to add mentor
Fred W. Huffer grad student 1998 Florida State (MathTree)
De Witt L. Sumners grad student 1998 Florida State (MathTree)

Children

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

Collaborators

Sign in to add collaborator
Daniel J. Valentino collaborator 2002-2007 UCLA
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Kalinin AA, Palanimalai S, Zhu J, et al. (2022) SOCRAT: a Dynamic Web Toolbox for Interactive Data Processing, Analysis and Visualization. Information (Basel). 13
Kalinin AA, Hou X, Ade AS, et al. (2021) Valproic Acid-Induced Changes of 4D Nuclear Morphology in Astrocyte Cells. Molecular Biology of the Cell. mbcE20080502
Avesani P, McPherson B, Hayashi S, et al. (2019) The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services. Scientific Data. 6: 69
Tang M, Gao C, Goutman SA, et al. (2018) Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering. Neuroinformatics
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
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
Gao C, Sun H, Wang T, et al. (2018) Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson's Disease. Scientific Reports. 8: 7129
Kalinin AA, Higgins GA, Reamaroon N, et al. (2018) Deep learning in pharmacogenomics: from gene regulation to patient stratification. Pharmacogenomics
Kalinin AA, Palanimalai S, Dinov ID. (2017) SOCRAT Platform Design: A Web Architecture for Interactive Visual Analytics Applications. Proceedings of the 2nd Workshop On Human-in-the-Loop Data Analytics. Workshop On Human-in-the-Loop Data Analytics (2nd : 2017 : Chicago, Ill.). 2017
See more...