Desktop Supercomputing Technology for Shadow Correction of Color Images. - Artem V. Nikonorov; Sergey A. Bibikov; Vladimir Fursov (SIGMAP, 2010)

Fresnel lens imaging with post-capture image processing. - Artem V. Nikonorov; Roman V. Skidanov; Vladimir Fursov; Maksim V. Petrov; Sergey A. Bibikov; Yuriy V. Yuzifovich (CVPR Workshops, 2015)

Vessel Segmentation for Noisy CT Data with Quality Measure Based on Single-Point Contrast-to-Noise Ratio. - Artem V. Nikonorov; Alexandr Kolsanov; Maksim V. Petrov; Yuriy V. Yuzifovich; Evgeny Prilepin; Sergey Chaplygin; Pavel Zelter; K. Bychenkov (ICETE (Selected Papers), 2015)

Computational Correction for Imaging through Single Fresnel Lenses. - Artem V. Nikonorov; Sergey A. Bibikov; Maksim V. Petrov; Yuriy V. Yuzifovich; Vladimir Fursov (SIGMAP, 2015)

Contrast-to-Noise based Metric of Denoising Algorithms for Liver Vein Segmentation. - Artem V. Nikonorov; Alexandr Kolsanov; Maksim V. Petrov; Yuriy V. Yuzifovich; Evgeny Prilepin; K. Bychenkov (SIGMAP, 2015)

Comparative evaluation of deblurring techniques for Fresnel lens computational imaging. - Artem V. Nikonorov; Maksim V. Petrov; Sergey A. Bibikov; Yuriy V. Yuzifovich; Pavel Y. Yakimov; Nikolay Lvovich Kazanskiy; Roman V. Skidanov; Vladimir Fursov (ICPR, 2016)

Correcting color and hyperspectral images with identification of distortion model. - Artem V. Nikonorov; Sergey A. Bibikov; Vladislav V. Myasnikov; Yuriy V. Yuzifovich; Vladimir Fursov (Pattern Recognit. Lett., 2016)

OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis. - Yury Koush; John Ashburner; Evgeny Prilepin; Ronald Sladky; Peter Zeidman; Sergey A. Bibikov; Frank Scharnowski; Artem V. Nikonorov; Dimitri Van De Ville (NeuroImage, 2017)

Toward Ultralightweight Remote Sensing With Harmonic Lenses and Convolutional Neural Networks. - Artem V. Nikonorov; Maksim V. Petrov; Sergei A. Bibikov; Pavel Y. Yakimov; Viktoriya V. Kutikova; Yuriy V. Yuzifovich; Andrey A. Morozov; Roman V. Skidanov; Nikolay Lvovich Kazanskiy (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Deep Learning-Based Imaging using Single-Lens and Multi-Aperture Diffractive Optical Systems. - Artem V. Nikonorov; Viktoria Evdokimova; Maksim V. Petrov; Pavel Y. Yakimov; Sergey A. Bibikov; Yuriy V. Yuzifovich; Roman V. Skidanov; Nikolay Lvovich Kazanskiy (ICCV Workshops, 2019)

Using a Binary Diffractive Optical Element to Increase the Imaging System Depth of Field in UAV Remote Sensing Tasks. - Pavel G. Serafimovich; Alexey P. Dzyuba; Artem V. Nikonorov; Nikolay L. Kazanskiy (ICPR Workshops (7), 2020)

Illumination Estimation Challenge: experience of past two years. - Egor I. Ershov; Alexey Savchik; Illya Semenkov; Nikola Banic; Karlo Koscevic; Marko Subasic; Alexander Belokopytov; Zhihao Li; Arseniy P. Terekhin; Daria Senshina; Artem V. Nikonorov; Yanlin Qian; et al. (CoRR, 2020)

Improved Fault Diagnosis in Hydraulic Systems with Gated Convolutional Autoencoder and Partially Simulated Data. - Albert Gareev; Vladimir Protsenko; Dmitriy Stadnik; Pavel Greshniakov; Yuriy V. Yuzifovich; Evgeniy Yu. Minaev; Asgat Gimadiev; Artem V. Nikonorov (Sensors, 2021)

Real-time and Recursive Estimators for Functional MRI Quality Assessment. - Nikita Davydov; Lucas Peek; Tibor Auer; Evgeny Prilepin; Nicolas Gninenko; Dimitri Van De Ville; Artem V. Nikonorov; Yury Koush (Neuroinformatics, 2022)

First Earth-Imaging CubeSat with Harmonic Diffractive Lens. - Nikolay A. Ivliev; Viktoria Evdokimova; Vladimir Podlipnov; Maxim Petrov; Sofiya Ganchevskaya; Ivan Tkachenko; Dmitry Abrameshin; Yuri Yuzifovich; Artem V. Nikonorov; Roman V. Skidanov; Nikolay L. Kazanskiy; Victor A. Soifer (Remote. Sens., 2022)

Hybrid Refractive-Diffractive Lens with Reduced Chromatic and Geometric Aberrations and Learned Image Reconstruction. - Viktoria Evdokimova; Vladimir Podlipnov; Nikolay A. Ivliev; Maxim Petrov; Sofia Ganchevskaya; Vladimir Fursov; Yuriy V. Yuzifovich; Sergey Stepanenko; Nikolay L. Kazanskiy; Artem V. Nikonorov; Roman V. Skidanov (Sensors, 2023)

HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators Smarter. - Valeriy Lobanov; Nikita Firsov; Evgeny Myasnikov; Roman Khabibullin; Artem V. Nikonorov (CoRR, 2024)

3U CubeSat-Based Hyperspectral Remote Sensing by Offner Imaging Hyperspectrometer with Radially-Fastened Primary Elements. - Nikolay A. Ivliev; Vladimir Podlipnov; Maxim Petrov; Ivan Tkachenko; Maksim Ivanushkin; Sergey A. Fomchenkov; Maksim Markushin; Roman V. Skidanov; Yuriy Khanenko; Artem V. Nikonorov; Nikolay L. Kazanskiy; Victor A. Soifer (Sensors, 2024)

Deep Spectral-Spatial Transformer for Robust Hyperspectral Image Segmentation in Varying Field Conditions. - Andrey Makarov; Islombek Mirpulatov; Nikita Firsov; Valeriy Lobanov; Svetlana Illarionova; Vladimir Podlipnov; Yuliya D. Vybornova; Dmitrii Shadrin; Andrey Rastorguev; Roman V. Skidanov; Evgeny Burnaev; Artem V. Nikonorov (IEEE Access, 2025)

Self-Supervised Learning for Temporal Action Segmentation in Industrial and Manufacturing Videos. - Yuliya D. Vybornova; Maxim Aleshin; Svetlana Illarionova; Ilya Novikov; Dmitrii Shadrin; Artem V. Nikonorov; Evgeny Burnaev (IEEE Access, 2025)

Color Matching Using Hypernetwork-Based Kolmogorov-Arnold Networks. - Artem V. Nikonorov; Georgy Perevozchikov; Andrei Korepanov; Nancy Mehta; Mahmoud Afifi; Egor I. Ershov; Radu Timofte (CoRR, 2025)