Page 40 - Invited Paper Session (IPS) - Volume 1

IPS35 Dinov I.D. et al.
"Complete hazard ranking to analyze right-censored data: An ALS
survival study." PLOS Computational Biology 13(12): e1005887.
11. Husain, S., Kalinin, A, Truong, A, Dinov, ID (2015). "SOCR Data
dashboard: an integrated big data archive mashing medicare, labor,
census and econometric information." Journal of Big Data 2(13): 1-18.
12. Kalinin, A. A., A. Allyn-Feuer, A. Ade, G.-V. Fon, W. Meixner, D. Dilworth,
S. S. Husain, J. R. de Wett, G. A. Higgins, G. Zheng, A. Creekmore, J. W.
Wiley, J. E. Verdone, R. W. Veltri, K. J. Pienta, D. S. Coffey, B. D. Athey and
I. D. Dinov (2018). "3D Shape Modeling for Cell Nuclear Morphological
Analysis and Classification." Scientific Reports 8(1): 13658.
13. Kreps, G. L. and E. W. Maibach (2008). "Transdisciplinary science: The
nexus between communication and public health." Journal of
Communication 58(4): 732-748.
14. Marino, S., J. Xu, Y. Zhao, N. Zhou, Y. Zhou and I. Dinov (2018).
"Controlled Feature Selection and Compressive Big Data Analytics:
Applications to Biomedical and Health Studies." PLoS Bioinformatics
13(8): e0202674.
15. Marino, S., N. Zhou, Y. Zhao, L. Wang, Q. Wu and I. D. Dinov (2018).
"HDDA: DataSifter: statistical obfuscation of electronic health records
and other sensitive datasets." Journal of Statistical Computation and
Simulation HDDA: 1-23.
16. Tang, M., C. Gao, S. A. Goutman, A. Kalinin, B. Mukherjee, Y. Guan and I.
D. Dinov (2018). "Model- Based and Model-Free Techniques for
Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient
Clustering." Neuroinformatics.
17. Torgerson, C., C. Quinn, I. Dinov, Z. Liu, P. Petrosyan, K. Pelphrey, C.
Haselgrove, D. Kennedy, A. Toga and J. Van Horn (2015). "Interacting
with the National Database for Autism Research (NDAR) via the LONI
Pipeline workflow environment." Brain Imaging and Behavior: 1-15.
18. Wilkinson, M. D., M. Dumontier, I. J. Aalbersberg, G. Appleton, M. Axton,
A. Baak, N. Blomberg, J.-W. Boiten, L. B. da Silva Santos and P. E. Bourne
(2016). "The FAIR Guiding Principles for scientific data management and
stewardship." Scientific data 3.
19. Zhao, L., W. Matloff, K. Ning, H. Kim, I. D. Dinov and A. W. Toga (2018).
"Age-Related Differences in Brain Morphology and the Modifiers in
Middle-Aged and Older Adults." Cerebral Cortex: bhy300-bhy300.
20. Zhao, Y., L. Zhao, N. Zhou, Y. Zhao, S. Marino, T. Wang, H. Sun, A. Toga
and I. Dinov (2019). "Predictive Big Data Analytics using the UK Biobank
Data." Scientific Reports in press.

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