Oleg Rogov

According to our database, Oleg Rogov authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Probabilistically Robust Watermarking of Neural Networks.

Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets

CoRR, 2024

2023

FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures.

Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi

CoRR, 2023

Detect to Focus: Latent-Space Autofocusing System With Decentralized Hierarchical Multi-Agent Reinforcement Learning.

Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov

IEEE Access, 2023

DeepLOC: Deep Learning-Based Bone Pathology Localization and Classification in Wrist X-Ray Images.

Razan Dibo, Andrey Galichin, Pavel Astashev, Dmitry V. Dylov, Oleg Y. Rogov

Proceedings of the Analysis of Images, Social Networks and Texts, 2023

2022

Adaptive Denoising and Alignment Agents for Infrared Imaging.

Vito M. Leli, Viktor Shipitsin, Oleg Y. Rogov, Aleksandr Sarachakov, Dmitry V. Dylov

IEEE Control. Syst. Lett., 2022

Medical Image Captioning via Generative Pretrained Transformers.

Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov

CoRR, 2022

Optimal MRI Undersampling Patterns for Pathology Localization.

Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging.

Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob White, Dmitry V. Dylov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Decentralized Autofocusing System with Hierarchical Agents.

Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov

CoRR, 2021

Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks.

Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov

CoRR, 2021

2020

Learnable Hollow Kernels for Anatomical Segmentation.

Elizaveta Lazareva, Oleg Rogov, Olga Shegai, Denis Larionov, Dmitry V. Dylov

CoRR, 2020

Deep Negative Volume Segmentation.

Kristina Belikova, Oleg Rogov, Aleksandr Rybakov, Maxim V. Maslov, Dmitry V. Dylov

CoRR, 2020

Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning.

Vito M. Leli, Aleksandr Rubashevskii, Aleksandr Sarachakov, Oleg Rogov, Dmitry V. Dylov

Proceedings of the 16th International Conference on Control, 2020