Image filter effectiveness characterization based on HVS. - Vladimir V. Lukin; Nikolay N. Ponomarenko; Sergey S. Krivenko; Karen O. Egiazarian; Jaakko Astola (Computational Imaging, 2008)

Lossy Compression of Noisy Images Based on Visual Quality: A Comprehensive Study. - Nikolay N. Ponomarenko; Sergey S. Krivenko; Vladimir V. Lukin; Karen O. Egiazarian; Jaakko Astola (EURASIP J. Adv. Signal Process., 2010)

Prediction of filtering efficiency for DCT-based image denoising. - Sergey K. Abramov; Sergey S. Krivenko; Alexey A. Roenko; Vladimir V. Lukin; Igor Djurovic; Mikhail Chobanu (MECO, 2013)

Analysis of classification accuracy for pre-filtered multichannel remote sensing data. - Vladimir V. Lukin; Sergey K. Abramov; Sergey S. Krivenko; Andrey A. Kurekin; Oleksiy B. Pogrebnyak (Expert Syst. Appl., 2013)

Functional diagnostic using electrical impedance tomography reconstruction and the Internet of Things. - Anatolii A. Pulavskyi; Sergey S. Krivenko; Liudmyla S. Kryvenko (MECO, 2017)

Diagnosing the signs of pathological states of a human based on the analysis of heart rate variability. - Anatolii A. Pulavskyi; Sergey S. Krivenko; Liudmyla S. Kryvenko (MECO, 2018)

Uncertainty of Measurement Results for Anatomical Structures of Paranasal Sinuses. - Alina S. Nechyporenko; Sergey S. Krivenko; Victoriia Alekseeva; Andrii Lupyr; Nadiia Yurevych; R. S. Nazaryan; V. V. Gargin (MECO, 2019)

Determination of the Signal-to-Noise Ratio for Noisy Electrocardiogram Using Lossless Data Compression. - A. A. Pulavskyi; Sergey S. Krivenko; Liudmyla S. Kryvenko (MECO, 2019)

A Two-step Procedure for Image Lossy Compression by ADCTC With a Desired Quality. - Fangfang Li 003; Sergey S. Krivenko; Vladimir V. Lukin (DESSERT, 2020)

Adaptive two-step procedure of providing desired visual quality of compressed image. - Fangfang Li 003; Sergey S. Krivenko; Vladimir Lukin 001 (EITCE, 2020)

Evaluation of the Effectiveness of Post-filtration Smoothing using Lossless Compression for Heart Rate Variability Obtained from a Very Noisy ECG. - A. A. Pulavskyi; Sergey S. Krivenko; Liudmyla S. Kryvenko (MECO, 2020)

Lossy Compression of Multichannel Remote Sensing Images with Quality Control. - Vladimir V. Lukin; Irina V. Vasilyeva; Sergey S. Krivenko; Fangfang Li 003; Sergey K. Abramov; Oleksii S. Rubel; Benoît Vozel; Kacem Chehdi; Karen O. Egiazarian (Remote. Sens., 2020)

Using Mel-Frequency Cepstrum and Amplitude-Time Heart Variability as XGBoost Handcrafted Features for Heart Disease Detection. - Sergey S. Krivenko; A. A. Pulavskyi; Liudmyla S. Kryvenko; O. V. Krylova; Stanislaw A. Krivenko (CinC, 2021)

Reduction of Spatially Correlated Speckle in Textured SAR Images. - Oleksii S. Rubel; Vladimir V. Lukin; Sergey S. Krivenko; Vladimir Pavlikov; Simeon Zhyla; Eduard Tserne (Int. J. Comput., 2021)

On Image Complexity in Viewpoint of Image Processing Performance. - Vladimir V. Lukin; Sergey S. Krivenko; Fangfang Li 003; Sergey Abramov; Viktor O. Makarichev (IntelITSIS, 2022)

A Fast Noniterative Visually Lossless Compression of Dental Images Using BPG Coder. - Liudmyla S. Kryvenko; Olha Krylova; Sergey S. Krivenko; Vladimir V. Lukin (MECO, 2022)

Automatic recognition of congestive heart failure signs in heart rate variability data. - A. A. Pulavskyi; Sergey S. Krivenko; Stanislav A. Krivenko; I. V. Linskiy; M. F. Posokhov; Liudmyla S. Kryvenko (MECO, 2022)

Blind denoising of dental X-ray images. - Mykola Ponomarenko; Oleksandr Miroshnichenko; Vladimir V. Lukin; Sergey S. Krivenko; Karen O. Egiazarian (Image Processing: Algorithms and Systems, 2023)

Automated Software Tool for Compressing Optical Images with Required Output Quality. - Sergey S. Krivenko; Alexander N. Zemliachenko; Vladimir Lukin 001; Alexander A. Zelensky (CoRR, 2024)