Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopy. - Aritra Chowdhury; Dmitry V. Dylov; Qing Li; Michael MacDonald; Dan E. Meyer; Michael Marino; Alberto Santamaría-Pang (ISBI, 2017)

Data Fusion Approach for Constructing Unsupervised Augmented Voxel-Based Statistical Anthropomorphic Phantoms. - Hamidreza Khodajou-Chokami; Dmitry V. Dylov (BIBM, 2019)

Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images. - Ivan Rodin; Irina Fedulova; Artem Shelmanov; Dmitry V. Dylov (BIBM, 2019)

Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts. - Artem Shelmanov; Vadim Liventsev; Danil Kireev; Nikita Khromov; Alexander Panchenko; Irina Fedulova; Dmitry V. Dylov (BIBM, 2019)

Deep Text Prior: Weakly Supervised Learning for Assertion Classification. - Vadim Liventsev; Irina Fedulova; Dmitry V. Dylov (ICANN (Workshop), 2019)

Unpaired Synthetic Image Generation in Radiology Using GANs. - Denis Prokopenko; Joël Valentin Stadelmann; Heinrich Schulz; Steffen Renisch; Dmitry V. Dylov (AIRT@MICCAI, 2019)

Synthetic CT Generation from MRI Using Improved DualGAN. - Denis Prokopenko; Joël Valentin Stadelmann; Heinrich Schulz; Steffen Renisch; Dmitry V. Dylov (CoRR, 2019)

Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters. - Valeriya Pronina; Filippos Kokkinos; Dmitry V. Dylov; Stamatios Lefkimmiatis (ECCV (20), 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 (ICARCV, 2020)

Reinforcement Learning Framework for Deep Brain Stimulation Study. - Dmitrii Krylov; Remi Tachet des Combes; Romain Laroche; Michael Rosenblum; Dmitry V. Dylov (IJCAI, 2020)

Personalized Computational Human Phantoms via a Hybrid Model-based Deep Learning Method. - Hamidreza Khodajou-Chokami; Adeleh Bitarafan; Dmitry V. Dylov; Mahdieh Soleymani Baghshah; Seyed Abolfazl Hosseini (MeMeA, 2020)

Deep Learning for Non-invasive Cortical Potential Imaging. - Alexandra Razorenova; Nikolay B. Yavich; Mikhail S. Malovichko; Maxim V. Fedorov; Nikolay A. Koshev; Dmitry V. Dylov (MLCN/RNO-AI@MICCAI, 2020)

Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage. - Aleksandr Talitckii; Anna Anikina; Ekaterina Kovalenko; Oscar Mayora; Venet Osmani; Olga Zimniakova; Maxim Semenov; Ekaterina Bril; Dmitry V. Dylov; Andrey Somov (PervasiveHealth, 2020)

Unsupervised non-parametric change point detection in electrocardiography. - Nikolay Shvetsov; Nazar Buzun; Dmitry V. Dylov (SSDBM, 2020)

Unsupervised non-parametric change point detection in quasi-periodic signals. - Nikolay Shvetsov; Nazar Buzun; Dmitry V. Dylov (CoRR, 2020)

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

Anomaly Detection with Deep Perceptual Autoencoders. - Nina Tuluptceva; Bart Bakker; Irina Fedulova; Heinrich Schulz; Dmitry V. Dylov (CoRR, 2020)

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

Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging. - Ilyas Sirazitdinov; Heinrich Schulz; Axel Saalbach; Steffen Renisch; Dmitry V. Dylov (CoRR, 2020)

Adaptive Neural Layer for Globally Filtered Segmentation. - Viktor Shipitsin; Iaroslav Bespalov; Dmitry V. Dylov (CoRR, 2020)

Deep Learning for Spatio-Temporal Localization of Temporomandibular Joint in Ultrasound Videos. - Kristina Belikova; Aleksandra Zailer; Svetlana V. Tekucheva; Sergey N. Ermoljev; Dmitry V. Dylov (BIBM, 2021)

Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. - Artem Shelmanov; Dmitry Puzyrev; Lyubov Kupriyanova; Denis Belyakov; Daniil Larionov; Nikita Khromov; Olga Kozlova; Ekaterina Artemova; Dmitry V. Dylov; Alexander Panchenko (EACL, 2021)

Deep Learning Framework For Mobile Microscopy. - Anatasiia Kornilova; Mikhail Salnikov; Olga Novitskaya; Maria Begicheva; Egor Sevriugov; Kirill Shcherbakov; Valeriya Pronina; Dmitry V. Dylov (ISBI, 2021)

Landmark Constellation Models For Central Venous Catheter Malposition Detection. - Ilyas Sirazitdinov; Matthias Lenga; Ivo M. Baltruschat; Dmitry V. Dylov; Axel Saalbach (ISBI, 2021)

No-Reference Denoising Of Low-Dose Ct Projections. - Elvira Zainulina; Alexey Chernyavskiy; Dmitry V. Dylov (ISBI, 2021)

Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution. - Aleksandr Belov; Joël Valentin Stadelmann; Sergey Kastryulin; Dmitry V. Dylov (MICCAI (6), 2021)

Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders. - Nina Shvetsova; Bart Bakker; Irina Fedulova; Heinrich Schulz; Dmitry V. Dylov (IEEE Access, 2021)

Data Augmentation with Manifold Barycenters. - Iaroslav Bespalov; Nazar Buzun; Oleg Kachan; 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)

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

Defining Optimal Exercises for Efficient Detection of Parkinson's Disease Using Machine Learning and Wearable Sensors. - Aleksandr Talitckii; Anna Anikina; Ekaterina Kovalenko; Aleksei Shcherbak; Oscar Mayora; Olga Zimniakova; Ekaterina Bril; Maxim Semenov; Dmitry V. Dylov; Andrey Somov (IEEE Trans. Instrum. Meas., 2021)

Strong Gaussian Approximation for the Sum of Random Vectors. - Nazar Buzun; Nikolay Shvetsov; Dmitry V. Dylov (COLT, 2022)

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)

Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks. - Ilyas Sirazitdinov; Axel Saalbach; Heinrich Schulz; Dmitry V. Dylov (MICCAI (4), 2022)

Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging. - Ivan Zakazov; Vladimir Shaposhnikov; Iaroslav Bespalov; Dmitry V. Dylov (DART@MICCAI, 2022)

LAMBO: Landmarks Augmentation With Manifold-Barycentric Oversampling. - Iaroslav Bespalov; Nazar Buzun; Oleg Kachan; Dmitry V. Dylov (IEEE Access, 2022)

Tubular shape aware data generation for segmentation in medical imaging. - Ilyas Sirazitdinov; Heinrich Schulz; Axel Saalbach; Steffen Renisch; Dmitry V. Dylov (Int. J. Comput. Assist. Radiol. Surg., 2022)

PyTorch Image Quality: Metrics for Image Quality Assessment. - Sergey Kastryulin; Jamil Zakirov; Denis Prokopenko; Dmitry V. Dylov (CoRR, 2022)

Medical Image Captioning via Generative Pretrained Transformers. - Alexander Selivanov; Oleg Y. Rogov; Daniil Chesakov; Artem Shelmanov; Irina Fedulova; Dmitry V. Dylov (CoRR, 2022)

Self-supervised Physics-based Denoising for Computed Tomography. - Elvira Zainulina; Alexey Chernyavskiy; 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)

GAFL: Global adaptive filtering layer for computer vision. - Viktor Shipitsin; Iaroslav Bespalov; Dmitry V. Dylov (Comput. Vis. Image Underst., 2022)

BRULÈ: Barycenter-Regularized Unsupervised Landmark Extraction. - Iaroslav Bespalov; Nazar Buzun; Dmitry V. Dylov (Pattern Recognit., 2022)

Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson's Disease. - Aleksandr Talitckii; Ekaterina Kovalenko; Aleksei Shcherbak; Anna Anikina; Ekaterina Bril; Olga Zimniakova; Maxim Semenov; Dmitry V. Dylov; Andrey Somov (IEEE Trans. Instrum. Meas., 2022)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 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)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 2023)

Learnable Objective Image Function for Accelerated MRI Reconstruction. - Artem Razumov; Dmitry V. Dylov (STACOM@MICCAI, 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)

Image Quality Assessment for Magnetic Resonance Imaging. - Sergey Kastryulin; Jamil Zakirov; Nicola Pezzotti; Dmitry V. Dylov (IEEE Access, 2023)

Reinforcement Learning-tuned Active Disturbance Rejection Controller for Tracking Control of a 4-DoF Robot Manipulator. - Hanna Yousef; Tanjulee Siddique; Raouf Fareh; Kheireddine Choutri; Dmitry V. Dylov; Sofiane Khadraoui (ICCMA, 2024)

Centerline-Diameters Data Structure for Interactive Segmentation of Tube-Shaped Objects. - Ilyas Sirazitdinov; Dmitry V. Dylov (MICCAI (9), 2024)

Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport. - Nazar Buzun; Maksim Bobrin; Dmitry V. Dylov (NeurIPS, 2024)

QUASAR: QUality and Aesthetics Scoring With Advanced Representations. - Sergey Kastryulin; Denis Prokopenko; Artem Babenko; Dmitry V. Dylov (IEEE Access, 2024)

Align Your Intents: Offline Imitation Learning via Optimal Transport. - Maksim Bobrin; Nazar Buzun; Dmitrii Krylov; Dmitry V. Dylov (CoRR, 2024)

ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport. - Nazar Buzun; Maksim Bobrin; Dmitry V. Dylov (CoRR, 2024)

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

Graph-CAM: Explainable Image Features via Graph Neural Network in Fourier Domain. - Vladimir Shaposhnikov; Iaroslav Bespalov; Dmitry V. Dylov (IEEE Access, 2025)

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. - Jun Lyu; Chen Qin; Shuo Wang 011; Fanwen Wang; Yan Li 064; Zi Wang 005; Kunyuan Guo; Ouyang Cheng; Michael Tänzer; Meng Liu; Longyu Sun; Mengting Sun; et al. (Medical Image Anal., 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)

FLAME: Flexible LLM-Assisted Moderation Engine. - Ivan Bakulin; Ilia Kopanichuk; Iaroslav Bespalov; Nikita Radchenko; Vladimir Shaposhnikov; Dmitry V. Dylov; Ivan V. Oseledets (CoRR, 2025)

Neurophysiologically Realistic Environment for Comparing Adaptive Deep Brain Stimulation Algorithms in Parkinson Disease. - Ekaterina Kuzmina; Dmitrii Kriukov; Mikhail Lebedev; Dmitry V. Dylov (CoRR, 2025)

Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics. - Maksim Bobrin; Ilya Zisman; Alexander Nikulin; Vladislav Kurenkov; Dmitry V. Dylov (CoRR, 2025)

HOTA: Hamiltonian framework for Optimal Transport Advection. - Nazar Buzun; Daniil Shlenskii; Maxim Bobrin; Dmitry V. Dylov (CoRR, 2025)