Oleg Pianykh
- Oleg Pianykh has been at HSE University since 2012.
Education
PhD, Computer Science, Louisiana State University, Baton Rouge, USA, August 1998
MS with honors, Applied Mathematics and Physics, Moscow State University, Moscow, Russia, June 1994
D.E.R. (Diplôme d'Etudes et de Recherches), Philosophy, French University College, Moscow State University and Sorbonne University, Paris, May 1994
Courses (2023/2024)
Big Data and Machine Learning in Healthcare (Master’s programme; Faculty of Computer Science; field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.02. Прикладная математика и информатика"; 2 year, 1, 2 module)Eng
- Big Data and Machine Learning in Healthcare (Mago-Lego; 1, 2 module)Eng
- Past Courses
Editorial board membership
2011: Guest Editor, American Journal of Roentgenology (American Journal of Roentgenology).
2010: Guest Editor, Pattern Recognition.
Publications12
- Article Traub S., Pianykh O. An alternative to the black box: Strategy learning // Plos One. 2022. Vol. 17. No. 3. Article e0264485. doi
- Article Dudyrev E., Semenkov Ilia, Kuznetsov S., Gusev G., Sharp A., Pianykh O. Human knowledge models: Learning applied knowledge from the data // Plos One. 2022. Vol. 17. No. 10. Article e0275814. doi
- Article Pianykh O., Pospelova K., Kamboj N. Modeling Human Perception of Image Quality // Journal of Digital Imaging. 2018. Vol. 31. No. 6. P. 768-775. doi
- Book Proceedings of the first Workshop on Data Analysis in Medicine (WDAM-2017) / Ed. by J. Baixeries, S. Boytcheva, O. Pianykh, A. Neznanov, S. Kuznetsov. Issue 6. EasyChair, 2018. doi
- Article Pianykh O., Stites M. How secure is your radiology department? Mapping digital radiology adoption and security worldwide // American Journal of Roentgenology. 2016. Vol. 206. No. 4. P. 797-804. doi
- Article Pianykh O., Rosenthal D. Can We Predict Patient Wait Time? // Journal of the American College of Radiology. 2015. Vol. 12. No. 10. P. 1058-1066. doi (in press)
- Article Oglevee C., Pianykh O. Losing Images in Digital Radiology: More than You Think // Journal of Digital Imaging. 2014. P. 1-8.
- Article Pianykh O., Ridge C., Litmanovich D., Wilcox C., Boiselle P., Raptopoulos V., Bankier A. Adaptive Statistical Iterative Reconstruction in CT Angiography for Suspected Pulmonary Embolism: Effect on Objective and Subjective Image Quality // American Journal of Roentgenology. 2012. Vol. 198. No. 5
- Article Pianykh O. Digital Perfusion Phantoms for Visual Perfusion Validation // American Journal of Roentgenology. 2012. Vol. 199. No. 3. P. 627-634.
- Article Pianykh O. Finitely-supported L2-optimal kernels for digital signal interpolation // IEEE Transactions on Signal Processing. 2012. Vol. 60. No. 3. P. 494-498.
- Article Pianykh O. Perfusion linearity and its applications in perfusion algorithm analysis // Computerized Medical Imaging and Graphics. 2012. Vol. 36. No. 3. P. 204-214.
Academic Interests
- medical informatics
- operational problems (scheduling problems, workflow optimizaiton, queueing)
- data analysis (patterns, machine learning, models and computer simulations)
- image processing and analysis
Courses
- Medical Informatics (Master's at the School of Applied Mathematics and Information Science; Programme: Mathematical Modeling; Speciality: Intelligent Systems; first year, Blocks 3, 4)
HSE and EMC Corporation Will Study the Market of Bioinformatics in Russia
Higher School of Economics and EMC Cloud and Big Data R&D Center in Moscow (Skolkovo) have signed a cooperation agreement, which includes the creation of a Project and Study Group in Bioinformatics. HSE students and lecturers are a key part of the group.
Introduction to Medical Informatics
Course of lectures by Oleg Pianych, PhD, Assistant Professor of Radiology, Harvard Medical School