| 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 | 86 | 2018 |
| 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 | 85 | 2017 |
| 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 | 74 | 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 | 51 | 2017 |
| First earth-imaging CubeSat with harmonic diffractive lens N Ivliev, V Evdokimova, V Podlipnov, M Petrov, S Ganchevskaya, ... Remote Sensing 14 (9), 2230, 2022 | 46 | 2022 |
| 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 | 43 | 2015 |
| 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 | 34 | 2021 |
| 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 | 31 | 2021 |
| 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 | 31 | 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 | 31 | 2016 |
| 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 | 30 | 2020 |
| 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 | 30 | 2019 |
| 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 | 30 | 2018 |
| 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 | 27 | 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 | 24 | 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 | 22 | 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 | 18 | 2017 |
| 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 | 17 | 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 | 17 | 2011 |
| 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 | 16 | 2016 |
Nikolay KazanskiyImage Processing Systems Institute, Russian Academy of SciencesVerified email at ssau.ru
