Senyukova O, Gavrishchaka V, Sasonko M, Gurfinkel Y, Gorokhova S, Antsygin N. Generic ensemble-based representation of global cardiovascular dynamics for personalized treatment discovery and optimization. In: Computational Collective Intelligence: 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016. Proceedings, Part I. — Vol. 9875 of Lecture Notes in Computer Science. — Springer International Publishing Cham, Switzerland.; 2016. p. 197-207.
Senyukova O, Zobnin D. Segmentation of brain mri with fast and efficient registration algorithm. In: Proceedings of the 26th International Conference on Computer Graphics and Vision GraphiCon'2016.; 2016. p. 161-5.


Senyukova O, Zobnin D. Fast brain mri registration with automatic landmark detection using a single template image. In: Pattern Recognition (37th German Conference, GCPR 2015, Aachen, Germany, October 7–10, 2015, Proceedings). — Vol. 9358 of LECTURE NOTES IN COMPUTER SCIENCE. — Springer International Publishing Heidelberg, Germany.; 2015. p. 390-9.
Gavrishchaka V, Senyukova O, Davis K. Multi-complexity ensemble measures for gait time series analysis: Application to diagnostics, monitoring and biometrics. Signal and Image Analysis for Biomedical and Life Sciences (Springer Advances in Experimental Medicine and Biology). 2015;823:107-26.



Gavrishchaka V, Senyukova O. Robust Algorithmic Detection of Cardiac Pathologies from Short Periods of RR Data. In: Knowledge-Based Systems in Biomedicine and Computational Life Science - Studies in Computational Intelligence (Springer). Vol 450.; 2013. p. 137-53.


Senyukova O, Gavrishchaka V. Diagnostics of complex and rare abnormalities using ensemble decomposition learning. In: Diagnostics of complex and rare abnormalities using ensemble decomposition learning. Bangkok, Thailand; 2011. p. 19-26.
Senyukova O, Gavrishchaka V. Ensemble Decomposition Learning for Optimal Utilization of Implicitly Encoded Knowledge in Biomedical Applications. In: IASTED International Conference on Computational Intelligence and Bioinformatics. Pittsburgh, USA; 2011. p. 69-73.