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Sergey S. Krivenko
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2020 – today
- 2023
- [c14]Mykola Ponomarenko
, Oleksandr Miroshnichenko, Vladimir V. Lukin, Sergey S. Krivenko
, Karen O. Egiazarian
:
Blind denoising of dental X-ray images. Image Processing: Algorithms and Systems 2023: 1-6 - 2022
- [c13]Vladimir V. Lukin, Sergey S. Krivenko, Fangfang Li, Sergey Abramov, Viktor O. Makarichev:
On Image Complexity in Viewpoint of Image Processing Performance. IntelITSIS 2022: 458-473 - [c12]Liudmyla S. Kryvenko, Olha Krylova, Sergey S. Krivenko
, Vladimir V. Lukin:
A Fast Noniterative Visually Lossless Compression of Dental Images Using BPG Coder. MECO 2022: 1-6 - [c11]A. A. Pulavskyi
, Sergey S. Krivenko
, Stanislav A. Krivenko, I. V. Linskiy, M. F. Posokhov, Liudmyla S. Kryvenko:
Automatic recognition of congestive heart failure signs in heart rate variability data. MECO 2022: 1-5 - 2021
- [j4]Oleksii S. Rubel, Vladimir V. Lukin, Sergey S. Krivenko
, Vladimir Pavlikov, Simeon Zhyla
, Eduard Tserne:
Reduction of Spatially Correlated Speckle in Textured SAR Images. Int. J. Comput. 20(3): 319-327 (2021) - [c10]Sergey S. Krivenko
, A. A. Pulavskyi
, Liudmyla S. Kryvenko, O. V. Krylova, Stanislaw A. Krivenko:
Using Mel-Frequency Cepstrum and Amplitude-Time Heart Variability as XGBoost Handcrafted Features for Heart Disease Detection. CinC 2021: 1-4 - 2020
- [j3]Vladimir V. Lukin, Irina V. Vasilyeva, Sergey S. Krivenko
, Fangfang Li, Sergey K. Abramov
, Oleksii S. Rubel
, Benoît Vozel
, Kacem Chehdi
, Karen O. Egiazarian
:
Lossy Compression of Multichannel Remote Sensing Images with Quality Control. Remote. Sens. 12(22): 3840 (2020) - [c9]Fangfang Li, Sergey S. Krivenko
, Vladimir V. Lukin:
A Two-step Procedure for Image Lossy Compression by ADCTC With a Desired Quality. DESSERT 2020: 307-312 - [c8]Fangfang Li, Sergey S. Krivenko
, Vladimir Lukin:
Adaptive two-step procedure of providing desired visual quality of compressed image. EITCE 2020: 407-414 - [c7]A. A. Pulavskyi
, Sergey S. Krivenko
, Liudmyla S. Kryvenko:
Evaluation of the Effectiveness of Post-filtration Smoothing using Lossless Compression for Heart Rate Variability Obtained from a Very Noisy ECG. MECO 2020: 1-5
2010 – 2019
- 2019
- [c6]Alina S. Nechyporenko, Sergey S. Krivenko
, Victoriia Alekseeva, Andrii Lupyr
, Nadiia Yurevych, R. S. Nazaryan
, V. V. Gargin
:
Uncertainty of Measurement Results for Anatomical Structures of Paranasal Sinuses. MECO 2019: 1-4 - [c5]A. A. Pulavskyi
, Sergey S. Krivenko
, Liudmyla S. Kryvenko:
Determination of the Signal-to-Noise Ratio for Noisy Electrocardiogram Using Lossless Data Compression. MECO 2019: 1-4 - 2018
- [c4]Anatolii A. Pulavskyi
, Sergey S. Krivenko
, Liudmyla S. Kryvenko:
Diagnosing the signs of pathological states of a human based on the analysis of heart rate variability. MECO 2018: 1-4 - 2017
- [c3]Anatolii A. Pulavskyi
, Sergey S. Krivenko
, Liudmyla S. Kryvenko:
Functional diagnostic using electrical impedance tomography reconstruction and the Internet of Things. MECO 2017: 1-4 - 2013
- [j2]Vladimir V. Lukin
, Sergey K. Abramov
, Sergey S. Krivenko
, Andrey A. Kurekin, Oleksiy B. Pogrebnyak:
Analysis of classification accuracy for pre-filtered multichannel remote sensing data. Expert Syst. Appl. 40(16): 6400-6411 (2013) - [c2]Sergey K. Abramov
, Sergey S. Krivenko
, Alexey A. Roenko, Vladimir V. Lukin
, Igor Djurovic, Mikhail Chobanu:
Prediction of filtering efficiency for DCT-based image denoising. MECO 2013: 97-100 - 2010
- [j1]Nikolay N. Ponomarenko
, Sergey S. Krivenko
, Vladimir V. Lukin
, Karen O. Egiazarian
, Jaakko Astola
:
Lossy Compression of Noisy Images Based on Visual Quality: A Comprehensive Study. EURASIP J. Adv. Signal Process. 2010 (2010)
2000 – 2009
- 2008
- [c1]Vladimir V. Lukin
, Nikolay N. Ponomarenko
, Sergey S. Krivenko
, Karen O. Egiazarian, Jaakko Astola:
Image filter effectiveness characterization based on HVS. Computational Imaging 2008: 68140
Coauthor Index
aka: Vladimir V. Lukin
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