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Alexey Shvets
Alexey Shvets
Zephyr AI
Verified email at zephyrai.bio
Title
Cited by
Cited by
Year
Ternausnet: U-net with vgg11 encoder pre-trained on imagenet for image segmentation
V Iglovikov, A Shvets
arXiv preprint arXiv:1801.05746, 2018
7102018
Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning
VII Alexey A Shvets, Alexander Rakhlin, Alexandr A Kalinin
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
3952018
Deep convolutional neural networks for breast cancer histology image analysis
A Rakhlin, A Shvets, V Iglovikov, AA Kalinin
Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018
3732018
Pediatric bone age assessment using deep convolutional neural networks
V Iglovikov, A Rakhlin, A Kalinin, A Shvets
Deep Learning in Medical Image Analysis (DLMIA) Workshop, 2017
2302017
Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery
A Buslaev, SS Seferbekov, VI Iglovikov, AA Shvets
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2018
1902018
Feature Pyramid Network for Multi-Class Land Segmentation
S Seferbekov, V Iglovikov, A Buslaev, AA Shvets
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2018
1812018
TernausNetV2: Fully Convolutional Network for Instance Segmentation
V Iglovikov, S Seferbekov, A Buslaev, A Shvets
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2018
1752018
2017 robotic instrument segmentation challenge
M Allan, A Shvets, T Kurmann, Z Zhang, R Duggal, YH Su, N Rieke, ...
arXiv preprint arXiv:1902.06426, 2019
1242019
CD45 functions as a signaling gatekeeper in T cells
AH Courtney, AA Shvets, W Lu, G Griffante, M Mollenauer, V Horkova, ...
Science signaling 12 (604), eaaw8151, 2019
1122019
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks
AA Shvets, VI Iglovikov, A Rakhlin, AA Kalinin
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
902018
Ternausnet: U-net with vgg11 encoder pre-trained on imagenet for image segmentation. arXiv 2018
V Iglovikov, A Shvets
arXiv preprint arXiv:1801.05746, 0
80
Theory of colloid depletion stabilization by unattached and adsorbed polymers
AN Semenov, AA Shvets
Soft Matter 11 (45), 8863-8878, 2015
592015
Medical image segmentation using deep neural networks with pre-trained encoders
AA Kalinin, VI Iglovikov, A Rakhlin, AA Shvets
Deep learning applications, 39-52, 2020
532020
Deep learning approaches for understanding simple speech commands
RA Solovyev, M Vakhrushev, A Radionov, II Romanova, AA Amerikanov, ...
2020 IEEE 40th international conference on electronics and nanotechnology …, 2020
482020
Robotic instrument segmentation challenge
M Allan, A Shvets, T Kurmann, Z Zhang, R Duggal, YH Su, N Rieke, ...
arXiv preprint arXiv:1902.06426 2017, 1-14, 2017
462017
Mechanisms of protein search for targets on DNA: theoretical insights
AA Shvets, MP Kochugaeva, AB Kolomeisky
Molecules 23 (9), 2106, 2018
412018
Crowding on DNA in protein search for targets
AA Shvets, AB Kolomeisky
The journal of physical chemistry letters 7 (13), 2502-2506, 2016
392016
Sequence heterogeneity accelerates protein search for targets on DNA
AA Shvets, AB Kolomeisky
The Journal of chemical physics 143 (24), 2015
322015
Effective interactions between solid particles mediated by free polymer in solution
AA Shvets, AN Semenov
The Journal of Chemical Physics 139 (5), 2013
312013
Role of static and dynamic obstacles in the protein search for targets on DNA
A Shvets, M Kochugaeva, AB Kolomeisky
The Journal of Physical Chemistry B 120 (26), 5802-5809, 2016
282016
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