User profiles for A. A. Shvets
 | Alexey ShvetsZephyr AI Verified email at zephyrai.bio Cited by 3161 |
Automatic instrument segmentation in robot-assisted surgery using deep learning
… Shvets, V. Iglovikov, and AA Kalinin, “Deep convolutional neural networks for breast cancer
histology … Rakhlin, AA Kalinin, and AA Shvets, “Paediatric bone age assessment using deep …
histology … Rakhlin, AA Kalinin, and AA Shvets, “Paediatric bone age assessment using deep …
Paediatric bone age assessment using deep convolutional neural networks
Skeletal bone age assessment is a common clinical practice to diagnose endocrine and
metabolic disorders in child development. In this paper, we describe a deep learning approach …
metabolic disorders in child development. In this paper, we describe a deep learning approach …
[HTML][HTML] Mechanisms of protein search for targets on DNA: theoretical insights
Protein-DNA interactions are critical for the successful functioning of all natural systems. The
key role in these interactions is played by processes of protein search for specific sites on …
key role in these interactions is played by processes of protein search for specific sites on …
CD45 functions as a signaling gatekeeper in T cells
T cells require the protein tyrosine phosphatase CD45 to detect and respond to antigen
because it activates the Src family kinase Lck, which phosphorylates the T cell antigen receptor (…
because it activates the Src family kinase Lck, which phosphorylates the T cell antigen receptor (…
Angiodysplasia detection and localization using deep convolutional neural networks
… Shvets, V. Iglovikov, and AA Kalinin, “Deep convolutional neural networks for breast cancer
histology … Rakhlin, AA Kalinin, and AA Shvets, “Paediatric bone age assessment using deep …
histology … Rakhlin, AA Kalinin, and AA Shvets, “Paediatric bone age assessment using deep …
Medical image segmentation using deep neural networks with pre-trained encoders
… Iglovikov and Shvets [12] have shown that using networks trained on ImageNet as an
encoder part of the U-Net architecture improved performance for satellite image segmentation. …
encoder part of the U-Net architecture improved performance for satellite image segmentation. …
Theory of colloid depletion stabilization by unattached and adsorbed polymers
AN Semenov, AA Shvets - Soft Matter, 2015 - pubs.rsc.org
The polymer-induced forces between colloidal particles in a semidilute or concentrated
polymer solution are considered theoretically. This study is focussed on the case of partially …
polymer solution are considered theoretically. This study is focussed on the case of partially …
Deep learning approaches for understanding simple speech commands
…, AA Amerikanov, V Aliev, AA Shvets - 2020 IEEE 40th …, 2020 - ieeexplore.ieee.org
Automatic classification of sound commands is becoming increasingly important, especially
for embedded and mobile devices. Many of these devices contain both microphones and …
for embedded and mobile devices. Many of these devices contain both microphones and …
Breast tumor cellularity assessment using deep neural networks
… Rakhlin, AA Kalinin, and AA Shvets. Paediatric bone age assessment using deep convolutional
neural networks. In Deep Learning in Medical Image Analysis and Multimodal Learning …
neural networks. In Deep Learning in Medical Image Analysis and Multimodal Learning …
Crowding on DNA in protein search for targets
AA Shvets, AB Kolomeisky - The journal of physical chemistry …, 2016 - ACS Publications
Proteins searching and recognizing specific sites on DNA is required for initiating all major
biological processes. While the details of the protein search for targets on DNA in purified in …
biological processes. While the details of the protein search for targets on DNA in purified in …