| Classification of Alzheimer disease on imaging modalities with deep CNNs using cross-modal transfer learning K Aderghal, A Khvostikov, A Krylov, J Benois-Pineau, K Afdel, G Catheline 2018 IEEE 31st international symposium on computer-based medical systems …, 2018 | 170 | 2018 |
| 3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies A Khvostikov, K Aderghal, J Benois-Pineau, A Krylov, G Catheline arXiv preprint arXiv:1801.05968, 2018 | 170 | 2018 |
| Efficient sampling strategy and refinement strategy for randomized circle detection KL Chung, YH Huang, SM Shen, AS Krylov, DV Yurin, EV Semeikina Pattern recognition 45 (1), 252-263, 2012 | 92 | 2012 |
| 3D IoU-Net: IoU guided 3D object detector for point clouds J Li, S Luo, Z Zhu, H Dai, AS Krylov, Y Ding, L Shao arXiv preprint arXiv:2004.04962, 2020 | 66 | 2020 |
| Image interpolation by super-resolution A Lukin, AS Krylov, A Nasonov Proceedings of GraphiCon 2006 (Citeseer), 239-242, 2006 | 63 | 2006 |
| 3D inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's disease diagnostics A Khvostikov, K Aderghal, A Krylov, G Catheline, J Benois-Pineau arXiv preprint arXiv:1809.03972, 2018 | 51 | 2018 |
| Fast Hermite projection method A Krylov, D Korchagin International Conference Image Analysis and Recognition, 329-338, 2006 | 47 | 2006 |
| Software package for determination of surface tension of liquid metals AS Krylov, AV Vvedensky, AM Katsnelson, AE Tugovikov Journal of non-crystalline solids 156, 845-848, 1993 | 46 | 1993 |
| No-reference stereoscopic image quality assessment using convolutional neural network for adaptive feature extraction Y Ding, R Deng, X Xie, X Xu, Y Zhao, X Chen, AS Krylov IEEE Access 6, 37595-37603, 2018 | 45 | 2018 |
| Two-dimensional Hermite S-method for high-resolution inverse synthetic aperture radar imaging applications S Stanković, I Orović, A Krylov IET Signal Processing 4 (4), 352-362, 2010 | 36 | 2010 |
| Thermodynamics of liquid Al–Ni alloys KV Grigorovitch, AS Krylov Thermochimica acta 314 (1-2), 255-263, 1998 | 35 | 1998 |
| Projection filtering in image processing DN Kortchagine, AS Krylov Proc. of the Int. Conf. Graphicon, 42-45, 2000 | 34 | 2000 |
| P2V-RCNN: Point to voxel feature learning for 3D object detection from point clouds J Li, Y Sun, S Luo, Z Zhu, H Dai, AS Krylov, Y Ding, L Shao IEEE Access 9, 98249-98260, 2021 | 29 | 2021 |
| Video Frames Reconstruction Based on Time-Frequency Analysis and Hermite Projection Method S Srdjan, O Irena, K Andrey EURASIP Journal on Advances in Signal Processing 2010, 2010 | 29 | 2010 |
| Fast super-resolution using weighted median filtering AV Nasonov, AS Krylov 2010 20th International Conference on Pattern Recognition, 2230-2233, 2010 | 29 | 2010 |
| Scale-space method of image ringing estimation AV Nasonov, AS Krylov 2009 16th IEEE International Conference on Image Processing (ICIP), 2793-2796, 2009 | 29 | 2009 |
| Learning local quality-aware structures of salient regions for stereoscopic images via deep neural networks G Sun, B Shi, X Chen, AS Krylov, Y Ding IEEE Transactions on Multimedia 22 (11), 2938-2949, 2020 | 25 | 2020 |
| Deblurred images post-processing by Poisson warping A Nasonova, A Krylov IEEE Signal Processing Letters 22 (4), 417-420, 2015 | 25 | 2015 |
| Adaptive image deringing AV Nasonov, AS Krylov Proceedings of GraphiCon 2009, 151-154, 2009 | 24 | 2009 |
| Gauss-laguerre keypoints extraction using fast hermite projection method DV Sorokin, MM Mizotin, AS Krylov Image Analysis and Recognition: 8th International Conference, ICIAR 2011 …, 2011 | 23 | 2011 |
Andrey NasonovResearcher, Moscow Lomonosov State Universitycs.msu.ru의 이메일 확인됨
