Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition. - Vladimir Iglovikov; Sergey Mushinskiy; Vladimir Osin (CoRR, 2017)

Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks. - Vladimir Iglovikov; Alexander Rakhlin; Alexandr A. Kalinin; Alexey Shvets (CoRR, 2017)

Camera Model Identification Using Convolutional Neural Networks. - Artur Kuzin; Artur Fattakhov; Ilya Kibardin; Vladimir I. Iglovikov; Ruslan Dautov (IEEE BigData, 2018)

Fully Convolutional Network for Automatic Road Extraction From Satellite Imagery. - Alexander Buslaev 002; Selim S. Seferbekov; Vladimir Iglovikov; Alexey Shvets (CVPR Workshops, 2018)

TernausNetV2: Fully Convolutional Network for Instance Segmentation. - Vladimir Iglovikov; Selim S. Seferbekov; Alexander Buslaev 002; Alexey Shvets (CVPR Workshops, 2018)

Feature Pyramid Network for Multi-Class Land Segmentation. - Selim S. Seferbekov; Vladimir Iglovikov; Alexander Buslaev 002; Alexey Shvets (CVPR Workshops, 2018)

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis. - Alexander Rakhlin; Alexey Shvets; Vladimir Iglovikov; Alexandr A. Kalinin (ICIAR, 2018)

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks. - Alexey A. Shvets; Vladimir I. Iglovikov; Alexander Rakhlin; Alexandr A. Kalinin (ICMLA, 2018)

Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning. - Alexey A. Shvets; Alexander Rakhlin; Alexandr A. Kalinin; Vladimir I. Iglovikov (ICMLA, 2018)

Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks. - Vladimir I. Iglovikov; Alexander Rakhlin; Alexandr A. Kalinin; Alexey A. Shvets (DLMIA/ML-CDS@MICCAI, 2018)

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation. - Vladimir Iglovikov; Alexey Shvets (CoRR, 2018)

Albumentations: fast and flexible image augmentations. - Alexander V. Buslaev; Alex Parinov; Eugene Khvedchenya; Vladimir I. Iglovikov; Alexandr A. Kalinin (CoRR, 2018)

Breast Tumor Cellularity Assessment Using Deep Neural Networks. - Alexander Rakhlin; Aleksei Tiulpin; Alexey A. Shvets; Alexandr A. Kalinin; Vladimir I. Iglovikov; Sergey I. Nikolenko (ICCV Workshops, 2019)

2017 Robotic Instrument Segmentation Challenge. - Max Allan; Alexey Shvets; Thomas Kurmann; Zichen Zhang 001; Rahul Duggal; Yun-Hsuan Su; Nicola Rieke; Iro Laina; Niveditha Kalavakonda; Sebastian Bodenstedt; Luis C. García-Peraza; Wenqi Li 001; et al. (CoRR, 2019)

One Thousand and One Hours: Self-driving Motion Prediction Dataset. - John Houston; Guido Zuidhof; Luca Bergamini; Yawei Ye; Long Chen; Ashesh Jain; Sammy Omari; Vladimir Iglovikov; Peter Ondruska (CoRL, 2020)

2018 Robotic Scene Segmentation Challenge. - 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; et al. (CoRR, 2020)

One Thousand and One Hours: Self-driving Motion Prediction Dataset. - John Houston; Guido Zuidhof; Luca Bergamini; Yawei Ye; Ashesh Jain; Sammy Omari; Vladimir Iglovikov; Peter Ondruska (CoRR, 2020)

Albumentations: Fast and Flexible Image Augmentations. - Alexander Buslaev 002; Vladimir I. Iglovikov; Eugene Khvedchenya; Alex Parinov; Mikhail Druzhinin; Alexandr A. Kalinin (Inf., 2020)

TernausNet. - Vladimir I. Iglovikov; Alexey A. Shvets (Computer-Aided Analysis of Gastrointestinal Videos, 2021)

Need for Speed: A Comprehensive Benchmark of JPEG Decoders in Python. - Vladimir Iglovikov (CoRR, 2025)