Fingerprint Fingerprint is based on mining the text of the persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 14 Similar Profiles
Brain Medicine & Life Sciences
Atlases Medicine & Life Sciences
Alzheimer Disease Medicine & Life Sciences
Neuroimaging Medicine & Life Sciences
Magnetic Resonance Imaging Medicine & Life Sciences
Workflow Medicine & Life Sciences
Imaging techniques Engineering & Materials Science
Mild Cognitive Impairment Medicine & Life Sciences

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Grants 2013 2021

Research Output 1998 2017

I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets

Chard, K., D'Arcy, M., Heavner, B., Foster, I., Kesselman, C., Madduri, R., Rodriguez, A., Soiland-Reyes, S., Goble, C., Clark, K., Deutsch, E. W., Dinov, I., Price, N. & Toga, A. Feb 2 2017 Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. Institute of Electrical and Electronics Engineers Inc., p. 319-328 10 p. 7840618

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Big data
Data description
Ecosystems
Data reduction
Pipelines
1 Citations

A Unified Variational Volume Registration Method Based on Automatically Learned Brain Structures

Lederman, C., Joshi, A., Dinov, I., Van Horn, J. D., Vese, L. & Toga, A. Jun 1 2016 In : Journal of Mathematical Imaging and Vision. 55, 2, p. 179-198 20 p.

Research output: Contribution to journalArticle

Labels
Magnetic resonance imaging
Brain
Finite element method

Comparison of genomic data via statistical distribution

Amiri, S. & Dinov, I. D. Oct 21 2016 In : Journal of Theoretical Biology. 407, p. 318-327 10 p.

Research output: Contribution to journalArticle

Statistical Distributions
Genome
Genes
Sequence Homology
Computational Biology
3 Citations
Delivery of Health Care
Big data
Social Change
Software
Technology
3 Citations

Predictive big data analytics: A study of Parkinson's disease using large, complex, heterogeneous, incongruent, multi-source and incomplete observations

Dinov, I. D., Heavner, B., Tang, M., Glusman, G., Chard, K., Darcy, M., Madduri, R., Pa, J., Spino, C., Kesselman, C., Foster, I., Deutsch, E. W., Price, N. D., Van Horn, J. D., Ames, J., Clark, K., Hood, L., Hampstead, B. M., Dauer, W. & Toga, A. W. Aug 1 2016 In : PLoS One. 11, 8, e0157077

Research output: Contribution to journalArticle

Parkinson Disease
Artificial Intelligence
Demography
Support Vector Machines
Amyotrophic Lateral Sclerosis