Artem Nikonorov
Artem Nikonorov
Samara National Research University
Verified email at - Homepage
Cited by
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Image restoration in diffractive optical systems using deep learning and deconvolution
AV Nikonorov, MV Petrov, SA Bibikov, VV Kutikova, AA Morozov, ...
Computer Optics 41 (6), 875-887, 2017
Toward ultralightweight remote sensing with harmonic lenses and convolutional neural networks
AV Nikonorov, MV Petrov, SA Bibikov, PY Yakimov, VV Kutikova, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis
Y Koush, J Ashburner, E Prilepin, R Sladky, P Zeidman, S Bibikov, ...
NeuroImage 156, 489-503, 2017
Reconstruction of anatomical structures using statistical shape modeling
NA Smelkina, RN Kosarev, AV Nikonorov, IM Bairikov, KN Ryabov, ...
Computer Optics 41 (6), 897-904, 2017
Fresnel lens imaging with post-capture image processing
A Nikonorov, R Skidanov, V Fursov, M Petrov, S Bibikov, Y Yuzifovich
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Deep learning-based imaging using single-lens and multi-aperture diffractive optical systems
A Nikonorov, V Evdokimova, M Petrov, P Yakimov, S Bibikov, Y Yuzifovich, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Comparative evaluation of deblurring techniques for Fresnel lens computational imaging
A Nikonorov, M Petrov, S Bibikov, Y Yuzifovich, P Yakimov, N Kazanskiy, ...
2016 23rd International Conference on Pattern Recognition (ICPR), 775-780, 2016
Correcting color and hyperspectral images with identification of distortion model
A Nikonorov, S Bibikov, V Myasnikov, Y Yuzifovich, V Fursov
Pattern Recognition Letters 83, 178-187, 2016
First earth-imaging CubeSat with harmonic diffractive lens
N Ivliev, V Evdokimova, V Podlipnov, M Petrov, S Ganchevskaya, ...
Remote Sensing 14 (9), 2230, 2022
Deep learning-based video stream reconstruction in mass-production diffractive optical systems
V Evdokimova, M Petrov, M Klyueva, E Zybin, V Kosianchuk, ...
Computer Optics 45 (1), 130-141, 2021
Experimental study of optical characteristics of a satellite-based Offner hyperspectrometer
NL Kazanskiy, AA Morozov, AV Nikonorov, MV Petrov, VV Podlipnov, ...
Optical Technologies in Telecommunications 2017 10774, 312-320, 2018
Intelligent video systems for unmanned aerial vehicles based on diffractive optics and deep learning
NL Kazanskiy, RV Skidanov, AV Nikonorov, LL Doskolovich
Optical Technologies for Telecommunications 2019 11516, 495-503, 2020
Neural network-aided classification of hyperspectral vegetation images with a training sample generated using an adaptive vegetation index
N Firsov, V Podlipnov, N Ivliev, P Nikolaev, S Mashkov, P Ishkin, ...
Computer Optics 45 (6), 887-896, 2021
Traffic sign detection on GPU using color shape regular expressions
A Nikonorov, M Petrov, P Yakimov
International Workshop on Image Mining. Theory and Applications 2, 63-72, 2013
Automatic highlighting of the region of interest in computed tomography images of the lungs
TA Pashina, AV Gaidel, PM Zelter, AV Kapishnikov, AV Nikonorov
Computer Optics 44 (1), 74-81, 2020
Improved fault diagnosis in hydraulic systems with gated convolutional autoencoder and partially simulated data
A Gareev, V Protsenko, D Stadnik, P Greshniakov, Y Yuzifovich, E Minaev, ...
Sensors 21 (13), 4410, 2021
Реконструкция изображений в дифракционно-оптических системах на основе сверточных нейронных сетей и обратной свертки
АВ Никоноров, МВ Петров, СА Бибиков, В Кутикова, АА Морозов, ...
Компьютерная оптика 41 (6), 875-887, 2017
Correction of distortions in color images based on parametric identification
VA Fursov, AV Nikonorov, SA Bibikov, PY Yakimov, EY Minaev
Pattern Recognition and Image Analysis 21, 125-128, 2011
Real-time fMRI data for testing OpenNFT functionality
Y Koush, J Ashburner, E Prilepin, R Sladky, P Zeidman, S Bibikov, ...
Data in brief 14, 344-347, 2017
Vessel segmentation for noisy CT data with quality measure based on single-point contrast-to-noise ratio
A Nikonorov, A Kolsanov, M Petrov, Y Yuzifovich, E Prilepin, S Chaplygin, ...
E-Business and Telecommunications: 12th International Joint Conference …, 2016
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