I am an assistant professor of the department of Computing Systems and Automation, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University. Currently my group has a joint work with Diagnostics and Telemedicine Center of the Moscow Health Care Department and also with research group from the USA. My scientific interests include but are not limited to computer vision and machine learning in disease diagnostics, prediction of MRI hardware failures, development of personalized medicine therapies.
PhD Thesis: Algorithms for semantic segmentation and classification of low-dimensional biomedical signals based on machine learning
- Multi-Complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics. V. Gavrishchaka, O. Senyukova, K. Davis. Signal and Image Analysis for Biomedical and Life Sciences, 2015
- Segmentation of Blurred Objects by Classification of Isolabel Contours. O. Senyukova. Pattern Recognition, 2014
- Robust Algorithmic Detection of Cardiac Pathologies from Short Periods of RR Data. V. Gavrishchaka, O. Senyukova. Knowledge-Based Systems in Biomedicine and Computational Life Science, 2013
- Ensemble Decomposition Learning for Optimal Utilization of Implicitly Encoded Knowledge in Biomedical Applications. O. Senyukova, V. Gavrishchaka. Proceedings of IASTED International Conference on Computational Intelligence and Bioinformatics, 2011