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ORCIDAndrey S. Krylov
Andrei S. Krylov
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- affiliation: Lomonosov Moscow State University, Moscow, Russia
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2020 – today
- 2024
[j28]G. S. Nazarenko, Andrey S. Krylov:
Neural Network Method for Detecting Blur in Histological Images. Program. Comput. Softw. 50(3): 224-230 (2024)- [j27]Zhongao Sun, Alexander V. Khvostikov, Andrey S. Krylov, Amit Sethi, Ilya Mikhailov, Pavel Malkov:
Joint Super-resolution and Tissue Patch Classification for Whole Slide Histological Images. Program. Comput. Softw. 50(3): 257-263 (2024) - 2023
- [j26]Maksim A. Penkin
, Alexander V. Khvostikov, Andrey S. Krylov:
Automated Method for Optimum Scale Search when Using Trained Models for Histological Image Analysis. Program. Comput. Softw. 49(3): 172-177 (2023) - [j25]Nikita D. Lokshin, Alexander V. Khvostikov, Andrey S. Krylov:
Augmenting the Training Set of Histological Images with Adversarial Examples. Program. Comput. Softw. 49(3): 187-191 (2023) - [c46]Maksim A. Penkin, Andrey S. Krylov:
Medical Image Joint Deringing and Denoising using Fourier Neural Operator. ICBSP 2023: 40-45 - [c45]Alexander V. Khvostikov, Vladimir Ippolitov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov:
PathScribe: new software to work with whole slide histological images for education and research. ICBSP 2023: 63-70 - 2022
- [c44]Paulo Henrique de C. Oliveira, Mylène C. Q. Farias, Daniel S. Ferreira, Andrey S. Krylov, Yong Ding:
Using a Saliency-Driven Convolutional Neural Network Framework for Brain Tumor Detection. ICMHI 2022: 9-13 - [c43]Alexander V. Khvostikov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov:
Visualization and Analysis of Whole Slide Histological Images. ICPR Workshops (2) 2022: 403-413 - [c42]Aline A. S. Thomaz, Jonathan A. S. Lima, Cristiano Jacques Miosso, Mylène C. Q. Farias, Andrey S. Krylov, Yong Ding:
Undersampled Magnetic Resonance Image Reconstructions Based on a Combination of U-Nets and L1, L2, and TV Optimizations. IST 2022: 1-6 - 2021
- [j24]Jiale Li, Yu Sun, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao:
P2V-RCNN: Point to Voxel Feature Learning for 3D Object Detection From Point Clouds. IEEE Access 9: 98249-98260 (2021) - [j23]Maxim A. Penkin, Andrey S. Krylov, Alexander V. Khvostikov:
Hybrid Method for Gibbs-Ringing Artifact Suppression in Magnetic Resonance Images. Program. Comput. Softw. 47(3): 207-214 (2021) - 2020
- [j22]D. A. Lyukov, Andrey S. Krylov, Vassili A. Lukshin, D. Yu. Usachev:
Projection Method for Deconvolution-Based CT Brain Perfusion. Program. Comput. Softw. 46(3): 217-222 (2020) - [j21]Guangming Sun, Bufan Shi, Xiaodong Chen, Andrey S. Krylov, Yong Ding:
Learning Local Quality-Aware Structures of Salient Regions for Stereoscopic Images via Deep Neural Networks. IEEE Trans. Multim. 22(11): 2938-2949 (2020) - [c41]Alexander V. Khvostikov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov:
CNN Assisted Hybrid Algorithm for Medical Images Segmentation. ICBIP 2020: 14-19 - [c40]Valeriy E. Karnaukhov, Andrey S. Krylov, Yong Ding, Mylène C. Q. Farias:
Hybrid Method for Biomedical Image Poisson Denoising. ICBIP 2020: 32-36 - [c39]Alexandr Yu. Kondrati'ev, Hideyuki Yaginuma, Yasushi Okada, Andrey S. Krylov, Dmitry V. Sorokin:
A Method for Automatic Tracking of Cell Nuclei With Weakly-Supervised Mitosis Detection in 2D Microscopy Image Sequences. ICBIP 2020: 67-73 - [i4]Jiale Li, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao:
3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds. CoRR abs/2004.04962 (2020)
2010 – 2019
- 2019
- [j20]Xiaogang Xu, Bufan Shi, Zijin Gu, Ruizhe Deng, Xiaodong Chen, Andrey S. Krylov, Yong Ding:
3D No-Reference Image Quality Assessment via Transfer Learning and Saliency-Guided Feature Consolidation. IEEE Access 7: 85286-85297 (2019) - [j19]Yong Ding, Yang Zhao, Xiaodong Chen, Xiaolei Zhu, Andrey S. Krylov:
Stereoscopic image quality assessment by analysing visual hierarchical structures and binocular effects. IET Image Process. 13(10): 1608-1615 (2019) - [j18]A. A. Dovganich, Andrey S. Krylov:
A Nonlocal Image Denoising Algorithm Using the Structural Similarity Metric. Program. Comput. Softw. 45(4): 141-146 (2019) - [c38]Andrey S. Krylov, Valeriy E. Karnaukhov, Nikolay V. Mamaev, Alexander V. Khvostikov:
Hybrid Method for Biomedical Image Denoising. ICBSP 2019: 60-64 - [c37]Yakov Pchelintsev, Andrey V. Nasonov, Andrey S. Krylov, Sawako Enoki, Yasushi Okada:
Enhancement Algorithms for Blinking Fluorescence Imaging. ICBSP 2019: 72-77 - [c36]Andrey S. Krylov, Maxim A. Penkin, Nikolay V. Mamaev, Alexander V. Khvostikov:
How to choose adaptively parameters of image denoising methods? IPTA 2019: 1-6 - [c35]Andrey V. Nasonov, Nikolay V. Mamaev, Andrey S. Krylov:
An Investigation of Denoising Parameters Choice in two Perona-Malik Models. SITIS 2019: 61-66 - [c34]Andrey V. Nasonov, Andrey S. Krylov:
Image Sharpening by Grid Warping with Curvature Analysis. SITIS 2019: 262-267 - 2018
- [j17]Yong Ding, Ruizhe Deng, Xin Xie, Xiaogang Xu, Yang Zhao, Xiaodong Chen, Andrey S. Krylov:
No-Reference Stereoscopic Image Quality Assessment Using Convolutional Neural Network for Adaptive Feature Extraction. IEEE Access 6: 37595-37603 (2018) - [j16]Guangming Sun, Yong Ding, Ruizhe Deng, Yang Zhao, Xiaodong Chen, Andrey S. Krylov:
Stereoscopic Image Quality Assessment by Considering Binocular Visual Mechanisms. IEEE Access 6: 51337-51347 (2018) - [j15]Fedor Guryanov, Andrey S. Krylov:
Optimization Method for Cell Image Registration. Program. Comput. Softw. 44(4): 266-270 (2018) - [c33]Karim Aderghal, Alexander V. Khvostikov, Andrei S. Krylov, Jenny Benois-Pineau, Karim Afdel, Gwenaelle Catheline:
Classification of Alzheimer Disease on Imaging Modalities with Deep CNNs Using Cross-Modal Transfer Learning. CBMS 2018: 345-350 - [c32]Nikolay V. Mamaev, Dmitry V. Yurin, Andrey S. Krylov:
Choice of the Parameter for BM3D Denoising Algorithm Using No- Reference Metric. EUVIP 2018: 1-6 - [c31]Andrey V. Nasonov, Andrey S. Krylov:
An Improvement of BM3D Image Denoising and Deblurring Algorithm by Generalized Total Variation. EUVIP 2018: 1-4 - [c30]Andrey V. Nasonov, Yakov Pchelintsev, Andrey S. Krylov:
Grid Warping Postprocessing for Linear Motion Blur in Images. EUVIP 2018: 1-5 - [c29]Andrey S. Krylov, Fedor Guryanov, Nikolay V. Mamaev, Dmitry V. Yurin:
Fast Estimation of Downsampling Factor for Biomedical Image Registration. ICBSP 2018: 36-40 - [c28]Andrey S. Krylov, Andrey V. Nasonov, Konstantin Chesnakov, Alexandra A. Nasonova, Seung Oh Jin, Uk Kang, Sang Min Park:
Vessel Preserving CNN-Based Image Resampling of Retinal Images. ICIAR 2018: 589-597 - [i3]Alexander V. Khvostikov, Karim Aderghal, Jenny Benois-Pineau, Andrey S. Krylov, Gwenaelle Catheline:
3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies. CoRR abs/1801.05968 (2018) - [i2]Alexander V. Khvostikov, Andrey S. Krylov, Olga Kharlova, N. Oleynikova, Ilya Mikhailov, Pavel Malkov:
Histological images segmentation of mucous glands. CoRR abs/1806.07781 (2018) - [i1]Alexander V. Khvostikov, Karim Aderghal, Andrey S. Krylov, Gwenaelle Catheline, Jenny Benois-Pineau:
3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's Disease diagnostics. CoRR abs/1809.03972 (2018) - 2017
- [j14]A. D. Gusev, Andrey V. Nasonov, Andrey S. Krylov:
Fast parallel grid warping-based image sharpening method. Program. Comput. Softw. 43(4): 230-233 (2017) - [j13]Alexander V. Khvostikov, Andrey S. Krylov, Julius Kamalov, Alina Megroyan:
Ultrasound despeckling by anisotropic diffusion and total variation methods for liver fibrosis diagnostics. Signal Process. Image Commun. 59: 3-11 (2017) - [j12]Fedor Guryanov, Andrey S. Krylov:
Fast medical image registration using bidirectional empirical mode decomposition. Signal Process. Image Commun. 59: 12-17 (2017) - [c27]Nikolay V. Mamaev, Dmitry V. Yurin, Andrey S. Krylov:
Image Ridge Denoising Using No-Reference Metric. ACIVS 2017: 591-601 - [c26]Nadezhda A. Anoshina, Andrey S. Krylov, Dmitry V. Sorokin:
Correlation-based 2D registration method for single particle cryo-EM images. IPTA 2017: 1-6 - [c25]Andrey S. Krylov, Andrey V. Nasonov, Yakov Pchelintsev:
Single parameter post-processing method for image deblurring. IPTA 2017: 1-6 - 2016
- [c24]Andrey V. Nasonov, Andrey S. Krylov, Konstantin Chesnakov:
An image resampling method using combined directional kernels. EUVIP 2016: 1-5 - [c23]Andrey V. Nasonov, Andrey S. Krylov, Xenya Petrova, Michael N. Rychagov:
Edge-directional interpolation algorithm using structure tensor. Image Processing: Algorithms and Systems 2016: 1-4 - 2015
- [j11]A. V. Kvostikov, Andrey S. Krylov, U. R. Kamalov:
Ultrasound image texture analysis for liver fibrosis stage diagnostics. Program. Comput. Softw. 41(5): 273-278 (2015) - [j10]Alexandra A. Nasonova, Andrey S. Krylov:
Deblurred Images Post-Processing by Poisson Warping. IEEE Signal Process. Lett. 22(4): 417-420 (2015) - [c22]Andrey V. Nasonov, Alexandra A. Nasonova, Andrey S. Krylov:
Edge Width Estimation for Defocus Map from a Single Image. ACIVS 2015: 15-22 - [c21]Alexey V. Umnov, Andrey S. Krylov, Andrey V. Nasonov:
Ringing Artifact Suppression Using Sparse Representation. ACIVS 2015: 35-45 - [c20]Artem M. Yatchenko, Andrey S. Krylov:
Cross-Frame Ultrasonic Color Doppler Flow Heart Image Unwrapping. FIMH 2015: 265-272 - [c19]I. Sitdikov, Fedor Guryanov, Andrey S. Krylov:
Accelerated mutual entropy maximization for biomedical image registration. IPTA 2015: 337-340 - [c18]Alexander V. Khvostikov, Andrey S. Krylov, Julius Kamalov, Alina Megroyan:
Influence of ultrasound despeckling on the liver fibrosis classification. IPTA 2015: 440-445 - [c17]Andrey S. Krylov, Andrey V. Nasonov:
3D Image Sharpening by Grid Warping. IScIDE (1) 2015: 441-450 - 2014
- [j9]Yong Ding, Yuan Zhang, Xiang Wang, Xiaolang Yan, Andrey S. Krylov:
Perceptual image quality assessment metric using mutual information of Gabor features. Sci. China Inf. Sci. 57(3): 1-9 (2014) - [j8]Artem M. Yatchenko, Andrey S. Krylov, Valeriy A. Sandrikov, Tatyana Yu. Kulagina:
Regularizing method for phase antialiasing in color doppler flow mapping. Neurocomputing 139: 77-83 (2014) - [c16]Alexandra A. Nasonova, Andrey V. Nasonov, Andrey S. Krylov, Ivan Pechenko, Alexey V. Umnov, Natalia Makhneva:
Image Warping in Dermatological Image Hair Removal. ICIAR (2) 2014: 159-166 - [c15]Andrey V. Nasonov, Andrey S. Krylov:
Grid warping in total variation image enhancement methods. ICIP 2014: 4517-4521 - 2012
- [j7]Kuo-Liang Chung, Yong-Huai Huang, Shi-Ming Shen, Andrey S. Krylov, Dmitry V. Yurin, Ekaterina V. Semeikina:
Efficient sampling strategy and refinement strategy for randomized circle detection. Pattern Recognit. 45(1): 252-263 (2012) - [c14]Alexandra A. Chernomorets, Andrey S. Krylov:
Blur detection in fundus images. BMEI 2012: 243-246 - [c13]Artem M. Yatchenko, Andrey S. Krylov:
Iterative Phase Unwrapping in Color Doppler Flow Mapping. IScIDE 2012: 330-338 - 2011
- [j6]Anna A. Gorbenko, Maxim M. Mizotin, Vladimir Yu. Popov, Andrey S. Krylov:
The problem of sensor placement for triangulation-based localisation. Int. J. Autom. Control. 5(3): 245-253 (2011) - [c12]Andrey S. Krylov, Andrey V. Nasonov:
Edge-Directed Image Interpolation Using Color Gradient Information. ICIAP (2) 2011: 40-49 - [c11]A. S. Semashko, Andrey S. Krylov, A. S. Rodin:
Using Blood Vessels Location Information in Optic Disk Segmentation. ICIAP (2) 2011: 384-393 - [c10]Dmitry V. Sorokin, Maxim M. Mizotin, Andrey S. Krylov:
Gauss-Laguerre Keypoints Extraction Using Fast Hermite Projection Method. ICIAR (1) 2011: 284-293 - [c9]Andrey S. Krylov, Dmitry V. Sorokin, Dmitry V. Yurin, Ekaterina V. Semeikina:
Use of Color Information for Keypoints Detection and Descriptors Construction. IScIDE 2011: 389-396 - [c8]Andrey S. Krylov, Dmitry V. Sorokin:
Gauss-Laguerre keypoints descriptors for color images. VCIP 2011: 1-4 - [c7]Artem M. Yatchenko, Andrey S. Krylov, Andrey V. Gavrilov, Ivan V. Arkhipov:
Graph-cut based antialiasing for Doppler ultrasound color flow medical imaging. VCIP 2011: 1-4 - 2010
- [j5]Srdjan Stankovic, Irena Orovic, Andrey S. Krylov:
Video Frames Reconstruction Based on Time-Frequency Analysis and Hermite Projection Method. EURASIP J. Adv. Signal Process. 2010 (2010) - [c6]Andrey V. Nasonov, Andrey S. Krylov:
Fast Super-Resolution Using Weighted Median Filtering. ICPR 2010: 2230-2233
2000 – 2009
- 2009
- [c5]Andrey S. Krylov, Andrey V. Nasonov:
Adaptive Image Deblurring with Ringing Control. ICIG 2009: 72-75 - [c4]Andrey S. Krylov, Alexey S. Lukin, Andrey V. Nasonov:
Edge-preserving nonlinear iterative image resampling method. ICIP 2009: 385-388 - [c3]Andrey V. Nasonov, Andrey S. Krylov:
Scale-space method of image ringing estimation. ICIP 2009: 2793-2796 - 2008
- [j4]G. V. Borisenko, A. M. Denisov, Andrey S. Krylov:
A diffusion method for image filtering and sharpening. Program. Comput. Softw. 34(5): 267-270 (2008) - [c2]Andrey S. Krylov, Andrey V. Nasonov:
Adaptive total variation deringing method for image interpolation. ICIP 2008: 2608-2611 - 2006
- [c1]Andrey S. Krylov, Danil Korchagin:
Fast Hermite Projection Method. ICIAR (1) 2006: 329-338 - 2004
- [j3]G. V. Borisenko, A. M. Denisov, Andrey S. Krylov:
A Diffusion Filtering Method for Image Processing. Program. Comput. Softw. 30(5): 273-277 (2004) - 2003
- [j2]Alexander Zhirkov, D. N. Kortchagine, Alexey S. Lukin, Andrey S. Krylov, Yuri Bayakovskii:
Graphic Representation Method and Neural Network Recognition of Time-Frequency Vectors of Speech Information. Program. Comput. Softw. 29(4): 210-218 (2003)
1970 – 1979
- 1979
- [j1]Andrey S. Krylov, S. L. Grokhovsky, A. S. Zasedatelev, A. L. Zhuze, G. V. Gursky, B. P. Gottikh:
Quantitative estimation of the contribution of pyrrolcarboxamide groups of the antibiotic distamycin A into specificity of its binding to DNA AT pairs. Nucleic Acids Res. 6(1): 289-304 (1979)
Coauthor Index
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