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 (ICARCV, 2020)

Deep Negative Volume Segmentation. - Kristina Belikova; Oleg Rogov; Aleksandr Rybakov; Maxim V. Maslov; Dmitry V. Dylov (CoRR, 2020)

Learnable Hollow Kernels for Anatomical Segmentation. - Elizaveta Lazareva; Oleg Rogov; Olga Shegai; Denis Larionov; Dmitry V. Dylov (CoRR, 2020)

Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks. - Artem Razumov; Oleg Y. Rogov; Dmitry V. Dylov (CoRR, 2021)

Decentralized Autofocusing System with Hierarchical Agents. - Anna Anikina; Oleg Y. Rogov; Dmitry V. Dylov (CoRR, 2021)

Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging. - Ekaterina Kuzmina; Artem Razumov; Oleg Y. Rogov; Elfar Adalsteinsson; Jacob White 001; Dmitry V. Dylov (MICCAI (6), 2022)

Optimal MRI Undersampling Patterns for Pathology Localization. - Artem Razumov; Oleg Y. Rogov; Dmitry V. Dylov (MICCAI (6), 2022)

Medical Image Captioning via Generative Pretrained Transformers. - Alexander Selivanov; Oleg Y. Rogov; Daniil Chesakov; Artem Shelmanov; Irina Fedulova; Dmitry V. Dylov (CoRR, 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)

DeepLOC: Deep Learning-Based Bone Pathology Localization and Classification in Wrist X-Ray Images. - Razan Dibo; Andrey V. Galichin; Pavel Astashev; Dmitry V. Dylov; Oleg Y. Rogov (AIST, 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)

Probabilistically Robust Watermarking of Neural Networks. - Mikhail Pautov; Nikita Bogdanov; Stanislav Pyatkin; Oleg Rogov; Ivan V. Oseledets (IJCAI, 2024)

Suppressing Modulation Instability with Reinforcement Learning. - Nikolay Kalmykov; Rishat R. Zagidullin; Oleg Rogov; Sergey Rykovanov; Dmitry V. Dylov (CoRR, 2024)

GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation. - Andrey V. Galichin; Mikhail Pautov; Alexey Zhavoronkin; Oleg Y. Rogov; Ivan V. Oseledets (CoRR, 2024)

AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge. - Kirill Borodin; Vasiliy Kudryavtsev; Dmitrii Korzh; Alexey Efimenko; Grach Mkrtchian; Gorodnichev Mikhail Genadievich; Oleg Y. Rogov (CoRR, 2024)

Certification of Speaker Recognition Models to Additive Perturbations. - Dmitrii Korzh; Elvir Karimov; Mikhail Pautov; Oleg Y. Rogov; Ivan V. Oseledets (AAAI, 2025)

CLEAR: Character Unlearning in Textual and Visual Modalities. - Alexey Dontsov; Dmitrii Korzh; Alexey Zhavoronkin; Boris Mikheev; Denis Bobkov; Aibek Alanov; Oleg Rogov; Ivan V. Oseledets; Elena Tutubalina (ACL (Findings), 2025)

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 (Pattern Recognit. Lett., 2025)

GLiRA: Closed-Box Membership Inference Attack via Knowledge Distillation. - Andrey V. Galichin; Mikhail Pautov; Alexey Zhavoronkin; Oleg Y. Rogov; Ivan V. Oseledets (IEEE Trans. Inf. Forensics Secur., 2025)

Spread them Apart: Towards Robust Watermarking of Generated Content. - Mikhail Pautov; Danil Ivanov; Andrey V. Galichin; Oleg Rogov; Ivan V. Oseledets (CoRR, 2025)

DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration. - Suraj Singh; Anastasia Batsheva; Oleg Y. Rogov; Ahmed Bouridane (CoRR, 2025)

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders. - Andrey V. Galichin; Alexey Dontsov; Polina Druzhinina; Anton Razzhigaev; Oleg Y. Rogov; Elena Tutubalina; Ivan V. Oseledets (CoRR, 2025)

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging. - Vita V. Vlasova; Vladimir G. Kuzmin; Maria S. Varetsa; Natalia A. Ibragimova; Oleg Y. Rogov; Elena V. Lyapuntsova (CoRR, 2025)

Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy. - Elvir Karimov; Alexander Varlamov; Danil Ivanov; Dmitrii Korzh; Oleg Y. Rogov (CoRR, 2025)

Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models. - Mikhail Salnikov; Dmitrii Korzh; Ivan Lazichny; Elvir Karimov; Artyom Iudin; Ivan V. Oseledets; Oleg Y. Rogov; Natalia V. Loukachevitch; Alexander Panchenko; Elena Tutubalina (CoRR, 2025)

Boundary-Aware Vision Transformer for Angiography Vascular Network Segmentation. - Nabil Hezil; Suraj Singh; Vita V. Vlasova; Oleg Rogov; Ahmed Bouridane; Rifat Hamoudi (CoRR, 2025)

A Data-Centric Framework for Addressing Phonetic and Prosodic Challenges in Russian Speech Generative Models. - Kirill Borodin; Nikita Vasiliev; Vasiliy Kudryavtsev; Maxim V. Maslov; Mikhail Gorodnichev; Oleg Rogov; Grach Mkrtchian (CoRR, 2025)

Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences. - Dmitrii Korzh; Dmitrii Tarasov; Artyom Iudin; Elvir Karimov; Matvey Skripkin; Nikita Kuzmin; Andrey Kuznetsov; Oleg Y. Rogov; Ivan V. Oseledets (CoRR, 2025)