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Vladimir Iglovikov
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2020 – today
- 2021
- [p1]Vladimir I. Iglovikov, Alexey A. Shvets:
TernausNet. Computer-Aided Analysis of Gastrointestinal Videos 2021: 127-132 - 2020
- [j1]Alexander Buslaev, Vladimir I. Iglovikov
, Eugene Khvedchenya
Albumentations: Fast and Flexible Image Augmentations. Inf. 11(2): 125 (2020) - [c10]John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye, Long Chen, Ashesh Jain, Sammy Omari, Vladimir Iglovikov, Peter Ondruska:
One Thousand and One Hours: Self-driving Motion Prediction Dataset. CoRL 2020: 409-418 - [i15]Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado, Evangello Flouty, Ahmed Kedir Mohammed, Marius Pedersen, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel:
2018 Robotic Scene Segmentation Challenge. CoRR abs/2001.11190 (2020) - [i14]John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye, Ashesh Jain, Sammy Omari, Vladimir Iglovikov, Peter Ondruska:
One Thousand and One Hours: Self-driving Motion Prediction Dataset. CoRR abs/2006.14480 (2020)
2010 – 2019
- 2019
- [c9]Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets, Alexandr A. Kalinin, Vladimir I. Iglovikov, Sergey I. Nikolenko:
Breast Tumor Cellularity Assessment Using Deep Neural Networks. ICCV Workshops 2019: 371-380 - [i13]Max Allan, Alexey Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke
2017 Robotic Instrument Segmentation Challenge. CoRR abs/1902.06426 (2019) - [i12]Alexander Rakhlin, Alexey A. Shvets, Alexandr A. Kalinin, Aleksei Tiulpin, Vladimir I. Iglovikov, Sergey I. Nikolenko:
Breast Tumor Cellularity Assessment using Deep Neural Networks. CoRR abs/1905.01743 (2019) - 2018
- [c8]Artur Kuzin, Artur Fattakhov, Ilya Kibardin, Vladimir I. Iglovikov, Ruslan Dautov:
Camera Model Identification Using Convolutional Neural Networks. IEEE BigData 2018: 3107-3110 - [c7]Alexander Buslaev, Selim S. Seferbekov, Vladimir Iglovikov, Alexey Shvets:
Fully Convolutional Network for Automatic Road Extraction From Satellite Imagery. CVPR Workshops 2018: 207-210 - [c6]Vladimir Iglovikov, Selim S. Seferbekov, Alexander Buslaev, Alexey Shvets:
TernausNetV2: Fully Convolutional Network for Instance Segmentation. CVPR Workshops 2018: 233-237 - [c5]Selim S. Seferbekov, Vladimir Iglovikov, Alexander Buslaev, Alexey Shvets:
Feature Pyramid Network for Multi-Class Land Segmentation. CVPR Workshops 2018: 272-275 - [c4]Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin:
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis. ICIAR 2018: 737-744 - [c3]Alexey A. Shvets, Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin:
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks. ICMLA 2018: 612-617 - [c2]Alexey A. Shvets, Alexander Rakhlin, Alexandr A. Kalinin, Vladimir I. Iglovikov:
Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning. ICMLA 2018: 624-628 - [c1]Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey A. Shvets:
Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks. DLMIA/ML-CDS@MICCAI 2018: 300-308 - [i11]Vladimir Iglovikov, Alexey Shvets:
TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation. CoRR abs/1801.05746 (2018) - [i10]Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin:
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis. CoRR abs/1802.00752 (2018) - [i9]Alexey Shvets, Alexander Rakhlin, Alexandr A. Kalinin, Vladimir Iglovikov:
Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning. CoRR abs/1803.01207 (2018) - [i8]Alexey Shvets, Vladimir Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin:
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks. CoRR abs/1804.08024 (2018) - [i7]Vladimir I. Iglovikov, Selim S. Seferbekov, Alexander V. Buslaev, Alexey Shvets:
TernausNetV2: Fully Convolutional Network for Instance Segmentation. CoRR abs/1806.00844 (2018) - [i6]Selim S. Seferbekov, Vladimir I. Iglovikov, Alexander V. Buslaev, Alexey A. Shvets:
Feature Pyramid Network for Multi-Class Land Segmentation. CoRR abs/1806.03510 (2018) - [i5]Alexander V. Buslaev, Selim S. Seferbekov, Vladimir I. Iglovikov, Alexey A. Shvets:
Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery. CoRR abs/1806.05182 (2018) - [i4]Alexander V. Buslaev, Alex Parinov, Eugene Khvedchenya, Vladimir I. Iglovikov, Alexandr A. Kalinin:
Albumentations: fast and flexible image augmentations. CoRR abs/1809.06839 (2018) - [i3]Artur Kuzin, Artur Fattakhov, Ilya Kibardin, Vladimir Iglovikov, Ruslan Dautov:
Camera Model Identification Using Convolutional Neural Networks. CoRR abs/1810.02981 (2018) - 2017
- [i2]Vladimir Iglovikov, Sergey Mushinskiy, Vladimir Osin:
Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition. CoRR abs/1706.06169 (2017) - [i1]Vladimir Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey Shvets:
Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks. CoRR abs/1712.05053 (2017)
Coauthor Index
aka: Alexey A. Shvets
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