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ORCIDOleg S. Pianykh
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2020 – today
- 2024
[j12]Oleg S. Pianykh
, Sebastian Perez, Chengzhao Richard Zhang:
Discrete scheduling and critical utilization. Eur. J. Oper. Res. 312(2): 445-455 (2024)- 2020
- [j11]Oleg S. Pianykh, Steven Guitron, Darren Parke, Chengzhao Richard Zhang, Pari Pandharipande, James Brink, Daniel Rosenthal:
Improving healthcare operations management with machine learning. Nat. Mach. Intell. 2(5): 266-273 (2020) - [c6]Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg S. Pianykh, Christian Herold, Georg Langs:
Dynamic Memory to Alleviate Catastrophic Forgetting in Continuous Learning Settings. MICCAI (2) 2020: 359-368 - [i5]Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg S. Pianykh, Christian Herold, Georg Langs:
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings. CoRR abs/2007.02639 (2020)
2010 – 2019
- 2018
- [j10]Oleg S. Pianykh, Ksenia Pospelova, Nick H. Kamboj:
Modeling Human Perception of Image Quality. J. Digit. Imaging 31(6): 768-775 (2018) - 2017
- [e1]Oleg S. Pianykh, Alexey Neznanov, Sergei O. Kuznetsov, Jaume Baixeries, Svetla Boytcheva:
Workshop on Data Analysis in Medicine, WDAM 2017, Moscow, Russia, May 29, 2017. Kalpa Publications in Computing 6, EasyChair 2017 [contents] - 2015
- [j9]Catherine Oglevee, Oleg S. Pianykh:
Losing Images in Digital Radiology: More than You Think. J. Digit. Imaging 28(3): 264-271 (2015) - 2012
- [j8]Oleg S. Pianykh:
Perfusion linearity and its applications in perfusion algorithm analysis. Comput. Medical Imaging Graph. 36(3): 204-214 (2012) - [j7]Oleg S. Pianykh:
Finitely-Supported ${\rm L}_2$-Optimal Kernels for Digital Signal Interpolation. IEEE Trans. Signal Process. 60(1): 494-498 (2012) - 2011
- [i4]Oleg S. Pianykh:
Improving digital signal interpolation: L2-optimal kernels with kernel-invariant interpolation speed. CoRR abs/1104.4295 (2011) - 2010
- [i3]Oleg S. Pianykh:
Perfusion Linearity and Its Applications. CoRR abs/1006.0168 (2010) - [i2]Oleg S. Pianykh:
L2-optimal image interpolation and its applications to medical imaging. CoRR abs/1006.2368 (2010) - [i1]Oleg S. Pianykh:
Bilateral filters: what they can and cannot do. CoRR abs/1007.1016 (2010)
2000 – 2009
- 2006
- [j6]Oleg S. Pianykh:
Analytically tractable case of fuzzy c-means clustering. Pattern Recognit. 39(1): 35-46 (2006) - [c5]Monica A. Trifas, John M. Tyler, Oleg S. Pianykh:
Applying multiresolution methods to medical image enhancement. ACM Southeast Regional Conference 2006: 254-259 - [c4]Monica A. Trifas, John M. Tyler, Oleg S. Pianykh:
Contrast enhancement of medical images using multiscale decomposition. Human Vision and Electronic Imaging 2006: 60570I - 2005
- [j5]Nathan E. Brener, S. Sitharama Iyengar, Oleg S. Pianykh:
A conclusive methodology for rating OCR performance. J. Assoc. Inf. Sci. Technol. 56(12): 1274-1287 (2005) - [c3]Rahman Mitchel Tashakkori, John M. Tyler, Oleg S. Pianykh:
Medical Image Optimal Wavelets. VISION 2005: 205-211 - [c2]Monica A. Trifas, John M. Tyler, Oleg S. Pianykh:
Medical Image Enhancement. VISION 2005: 212-218 - 2004
- [c1]Rahman Mitchel Tashakkori, John M. Tyler, Oleg S. Pianykh, Xiaojun Qi:
Decorrelating Medical Image Sets with Lifting: A New Approach. CISST 2004: 336-341 - 2001
- [j4]Oleg S. Pianykh, John M. Tyler:
Compression ratio boundaries for predictive signal compression. IEEE Trans. Image Process. 10(2): 323-326 (2001) - 2000
- [j3]Raj Sharman, John M. Tyler, Oleg S. Pianykh:
A fast and accurate method to register medical images using Wavelet Modulus Maxima. Pattern Recognit. Lett. 21(6-7): 447-462 (2000)
1990 – 1999
- 1999
- [j2]Oleg S. Pianykh, John M. Tyler, Raj Sharman:
Nearly-lossless autoregressive image compression. Pattern Recognit. Lett. 20(2): 221-228 (1999) - 1998
- [j1]Oleg S. Pianykh, John M. Tyler, Warren N. Waggenspack Jr.:
Improved Monte Carlo form factor integration. Comput. Graph. 22(6): 723-734 (1998)
Coauthor Index
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