Perelman School of Medicine at the University of Pennsylvania

Section for Biomedical Image Analysis (SBIA)

Aristeidis (Aris) Sotiras, Ph.D.


Research Associate

Section of Biomedical Image Analysis
Center for Biomedical Image Computing & Analytics
Department of Radiology
Perelman School of Medicine
University of Pennsylvania

Richards Medical Research Laboratories, Floor 7
3700 Hamilton Walk
Philadelphia, PA 19104
fax: (001) 215.573.1811

email: Aristeidis.Sotiras@uphs.upenn.edu
Personal webpage

Education

  • Ph.D. (with highest distinction and compliments of the jury) in Applied Mathematics  - Ecole Centrale Paris (Paris, FR)
  • M.Sc. (with distinction) in Mathematics, Vision and Machine Learning - Ecole Polytechnique (Paris, FR)
  • B.Sc. in Electrical and Computer Engineering - National Technical University of Athens (Athens, GR)

Research Summary

My research interests are in the field of medical image computing. I am particularly interested in the developing and applying machine learning and pattern analysis methods to large-scale neuroimaging data, towards improving clinical routine, such as computer-aided diagnosis and personalized treatment.

Publications

  • Sotiras, A., Toledo, J. B., Gur, R. C., Gur, R. E., Satterthwaite, T. D., & Davatzikos, C. (2017). Patterns of coordinated cortical remodeling during adolescence: associations with functional specialization and evolutionary expansion. Proceeding of National Academy of Sciences. In Press 2017. PMCID In Progress.
  • Varol, E., Sotiras, A., & Davatzikos, C. (2017). HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework. NeuroImage, 145, Part B, 346-364. PMID: 26923371
  • Dong*, A., Toledo*, J. B., Honnorat, N., Doshi, J., Varol, E., Sotiras, A., Wolk, D., Trojanowski, J. Q., Davatzikos, C., & Alzheimer’s Disease Neuroimaging Initiative (2017). Heterogeneity of neuroanatomical patterns in prodromal Alzheimer’s disease: links to cognition, progression and biomarkers. Brain. In Press 2017. PMCID In Progress
  • Allen, G. I., et al. (2016) Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease. Alzheimer’s & Dementia, 12(6), 645-653. PMID: 27079753
  • Alchatzidis, S., Sotiras, A., Zacharaki, E. I., & Paragios, N. (2016). A discrete MRF framework for integrated multi-atlas registration and segmentation. International Journal of Computer Vision, 121(1), 169-181. PMID: In Progress
  • Zeng, K., Erus, G., Sotiras, A., Shinohara, R. T., & Davatzikos, C. (2016). Abnormality detection via iterative deformable registration and basis-pursuit decomposition. Medical Imaging, IEEE Transactions on, 35(8), 1937-1951. PMID: 2704684
  • Sotiras, A., Resnick, S. M., & Davatzikos, C. (2015). Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization. NeuroImage, 108, 1-16. PMCID: PMC4357179
  • Sotiras, A., Davatzikos, C., & Paragios, N. (2013). Deformable medical image registration: A survey. Medical Imaging, IEEE Transactions on, 32(7), 1153-1190. PMCID: PMC3745275
  • Glocker*, B., Sotiras*, A., Komodakis, N., & Paragios, N. (2011). Deformable medical image registration: Setting the state of the art with discrete methods*. Annual Review of Biomedical Engineering, 13, 219-244. PMID: 21568711
  • Ou, Y., Sotiras, A., Paragios, N., & Davatzikos, C. (2011). DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting. Medical Image Analysis, 15(4), 622-639. PMCID: PMC3012150