Alexey Shvets

According to our database1, Alexey Shvets authored at least 13 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
TernausNet.
Proceedings of the Computer-Aided Analysis of Gastrointestinal Videos, 2021

2019
2017 Robotic Instrument Segmentation Challenge.
CoRR, 2019

Breast Tumor Cellularity Assessment Using Deep Neural Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Deep Learning Approaches for Understanding Simple Speech Commands.
CoRR, 2018

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation.
CoRR, 2018

Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Feature Pyramid Network for Multi-Class Land Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

TernausNetV2: Fully Convolutional Network for Instance Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Fully Convolutional Network for Automatic Road Extraction From Satellite Imagery.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks.
CoRR, 2017


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