Dmitry V. Dylov

88 papers A* 4A 1B 1C 1Misc 1Journal 53Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Zero-Shot Off-Policy Learning. CoRR Arip Asadulaev, Maksim Bobrin, Salem Lahlou, Dmitry V. Dylov, Fakhri Karray, Martin Takác
2025	A*	`conf`	AI Diagnostic Assistant (AIDA): A Predictive Model for Diagnoses from Health Records in Clinical Decision Support Systems. IJCAI Dmitriy Umerenkov, Alexandr Nesterov, Vladimir Shaposhnikov, Ruslan Abramov, Nikolay Romanenko, Vladimir Kokh, Marina Kirina, Anton Abrosimov, Dmitry V. Dylov, Ivan V. Oseledets
2025	—	`conf`	CLARITY: Clinical Assistant for Routing, Inference, and Triage. EMNLP (Industry Track) Vladimir Shaposhnikov, Alexandr Nesterov, Ilia Kopanichuk, Ivan Bakulin, Egor Zhelvakov, Ruslan Abramov, Ekaterina Tsapieva, Iaroslav Bespalov, Dmitry V. Dylov, Ivan V. Oseledets
2025	J	`jnl`	CLARITY: Clinical Assistant for Routing, Inference, and Triage. CoRR Vladimir Shaposhnikov, Aleksandr Nesterov, Ilia Kopanichuk, Ivan Bakulin, Egor Zhelvakov, Ruslan Abramov, Ekaterina Tsapieva, Iaroslav Bespalov, Dmitry V. Dylov, Ivan V. Oseledets
2025	J	`jnl`	ChexFract: From General to Specialized - Enhancing Fracture Description Generation. CoRR Nikolay Nechaev, Evgeniia Przhezdzetskaia, Dmitry Umerenkov, Dmitry V. Dylov
2025	—	`conf`	ComputAgeBench: Epigenetic Aging Clocks Benchmark. KDD (2) Dmitrii Kriukov, Evgeniy Efimov, Ekaterina Kuzmina, Anastasiia Dudkovskaia, Ekaterina E. Khrameeva, Dmitry V. Dylov
2025	J	`jnl`	FLAME: Flexible LLM-Assisted Moderation Engine. CoRR Ivan Bakulin, Ilia Kopanichuk, Iaroslav Bespalov, Nikita Radchenko, Vladimir Shaposhnikov, Dmitry V. Dylov, Ivan V. Oseledets
2025	J	`jnl`	FS-Net: Full scale network and adaptive threshold for improving extraction of micro-retinal vessel structures. Pattern Recognit. Lett. Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi
2025	J	`jnl`	Graph-CAM: Explainable Image Features via Graph Neural Network in Fourier Domain. IEEE Access Vladimir Shaposhnikov, Iaroslav Bespalov, Dmitry V. Dylov
2025	J	`jnl`	HOTA: Hamiltonian framework for Optimal Transport Advection. CoRR Nazar Buzun, Daniil Shlenskii, Maxim Bobrin, Dmitry V. Dylov
2025	J	`jnl`	How many samples to label for an application given a foundation model? Chest X-ray classification study. CoRR Nikolay Nechaev, Evgeniia Przhezdzetskaia, Victor Gombolevskiy, Dmitry Umerenkov, Dmitry V. Dylov
2025	J	`jnl`	How to Evaluate Medical AI. CoRR Ilia Kopanichuk, Petr Anokhin, Vladimir Shaposhnikov, Vladimir Makharev, Ekaterina Tsapieva, Iaroslav Bespalov, Dmitry V. Dylov, Ivan V. Oseledets
2025	J	`jnl`	Neurophysiologically Realistic Environment for Comparing Adaptive Deep Brain Stimulation Algorithms in Parkinson Disease. CoRR Ekaterina Kuzmina, Dmitrii Kriukov, Mikhail Lebedev, Dmitry V. Dylov
2025	—	`conf`	Neurophysiologically Realistic Environment for Comparing Adaptive Deep Brain Stimulation Algorithms in Parkinson's Disease. KDD (2) Ekaterina Kuzmina, Dmitrii Kriukov, Mikhail Lebedev, Dmitry V. Dylov
2025	—	`conf`	Random Direct Preference Optimization for Radiography Report Generation. MedAGI Valentin Samokhin, Boris Shirokikh, Mikhail Goncharov, Dmitriy Umerenkov, Maksim Bobrin, Ivan V. Oseledets, Dmitry V. Dylov, Mikhail Belyaev
2025	J	`jnl`	Random Direct Preference Optimization for Radiography Report Generation. CoRR Valentin Samokhin, Boris Shirokikh, Mikhail Goncharov, Dmitriy Umerenkov, Maksim Bobrin, Ivan V. Oseledets, Dmitry V. Dylov, Mikhail Belyaev
2025	J	`jnl`	The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. Medical Image Anal. Jun Lyu, Chen Qin, Shuo Wang, Fanwen Wang, Yan Li, Zi Wang, Kunyuan Guo, Ouyang Cheng, Michael Tänzer, Meng Liu, Longyu Sun, Mengting Sun, Qing Li, Zhang Shi, Sha Hua, Hao Li, Zhensen Chen, Zhenlin Zhang, Bingyu Xin, Dimitris N. Metaxas, George Yiasemis, Jonas Teuwen, Liping Zhang, Weitian Chen, Yidong Zhao, Qian Tao, Yanwei Pang, Xiaohan Liu, Artem Razumov, Dmitry V. Dylov, Quan Dou, Kang Yan, Yuyang Xue, Yuning Du, Julia Dietlmeier, Carles García-Cabrera, Ziad Al-Haj Hemidi, Nora Vogt, Ziqiang Xu, Yajing Zhang, Ying-Hua Chu, Weibo Chen, Wenjia Bai, Xiahai Zhuang, Jing Qin, Lianming Wu, Guang Yang, Xiaobo Qu, He Wang, Chengyan Wang
2025	J	`jnl`	Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics. CoRR Maksim Bobrin, Ilya Zisman, Alexander Nikulin, Vladislav Kurenkov, Dmitry V. Dylov
2024	J	`jnl`	Align Your Intents: Offline Imitation Learning via Optimal Transport. CoRR Maksim Bobrin, Nazar Buzun, Dmitrii Krylov, Dmitry V. Dylov
2024	—	`conf`	Centerline-Diameters Data Structure for Interactive Segmentation of Tube-Shaped Objects. MICCAI (9) Ilyas Sirazitdinov, Dmitry V. Dylov
2024	J	`jnl`	ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport. CoRR Nazar Buzun, Maksim Bobrin, Dmitry V. Dylov
2024	A*	`conf`	Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport. NeurIPS Nazar Buzun, Maksim Bobrin, Dmitry V. Dylov
2024	J	`jnl`	QUASAR: QUality and Aesthetics Scoring With Advanced Representations. IEEE Access Sergey Kastryulin, Denis Prokopenko, Artem Babenko, Dmitry V. Dylov
2024	J	`jnl`	QUASAR: QUality and Aesthetics Scoring with Advanced Representations. CoRR Sergey Kastryulin, Denis Prokopenko, Artem Babenko, Dmitry V. Dylov
2024	—	`conf`	Reinforcement Learning-tuned Active Disturbance Rejection Controller for Tracking Control of a 4-DoF Robot Manipulator. ICCMA Hanna Yousef, Tanjulee Siddique, Raouf Fareh, Kheireddine Choutri, Dmitry V. Dylov, Sofiane Khadraoui
2024	J	`jnl`	Suppressing Modulation Instability with Reinforcement Learning. CoRR Nikolay I. Kalmykov, Rishat R. Zagidullin, Oleg Rogov, Sergey G. Rykovanov, Dmitry V. Dylov
2023	—	`conf`	Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2023	Misc	`conf`	DeepLOC: Deep Learning-Based Bone Pathology Localization and Classification in Wrist X-Ray Images. AIST Razan Dibo, Andrey V. Galichin, Pavel Astashev, Dmitry V. Dylov, Oleg Y. Rogov
2023	J	`jnl`	DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images. CoRR Razan Dibo, Andrey V. Galichin, Pavel Astashev, Dmitry V. Dylov, Oleg Y. Rogov
2023	J	`jnl`	Detect to Focus: Latent-Space Autofocusing System With Decentralized Hierarchical Multi-Agent Reinforcement Learning. IEEE Access Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov
2023	J	`jnl`	FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures. CoRR Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi
2023	J	`jnl`	Image Quality Assessment for Magnetic Resonance Imaging. IEEE Access Sergey Kastryulin, Jamil Zakirov, Nicola Pezzotti, Dmitry V. Dylov
2023	—	`conf`	Learnable Objective Image Function for Accelerated MRI Reconstruction. STACOM@MICCAI Artem Razumov, Dmitry V. Dylov
2022	J	`jnl`	Adaptive Denoising and Alignment Agents for Infrared Imaging. IEEE Control. Syst. Lett. Vito M. Leli, Viktor Shipitsin, Oleg Y. Rogov, Aleksandr Sarachakov, Dmitry V. Dylov
2022	—	`conf`	Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging. MICCAI (6) Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob White, Dmitry V. Dylov
2022	J	`jnl`	Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging. CoRR Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob K. White, Dmitry V. Dylov
2022	J	`jnl`	BRULÈ: Barycenter-Regularized Unsupervised Landmark Extraction. Pattern Recognit. Iaroslav Bespalov, Nazar Buzun, Dmitry V. Dylov
2022	—	`conf`	Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks. MICCAI (4) Ilyas Sirazitdinov, Axel Saalbach, Heinrich Schulz, Dmitry V. Dylov
2022	J	`jnl`	Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson's Disease. IEEE Trans. Instrum. Meas. Aleksandr Talitckii, Ekaterina Kovalenko, Aleksei Shcherbak, Anna Anikina, Ekaterina Bril, Olga Zimniakova, Maxim Semenov, Dmitry V. Dylov, Andrey Somov
2022	—	`conf`	Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging. DART@MICCAI Ivan Zakazov, Vladimir Shaposhnikov, Iaroslav Bespalov, Dmitry V. Dylov
2022	J	`jnl`	Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging. CoRR Ivan Zakazov, Vladimir Shaposhnikov, Iaroslav Bespalov, Dmitry V. Dylov
2022	J	`jnl`	GAFL: Global adaptive filtering layer for computer vision. Comput. Vis. Image Underst. Viktor Shipitsin, Iaroslav Bespalov, Dmitry V. Dylov
2022	J	`jnl`	Image Quality Assessment for Magnetic Resonance Imaging. CoRR Sergey Kastryulin, Jamil Zakirov, Nicola Pezzotti, Dmitry V. Dylov
2022	J	`jnl`	LAMBO: Landmarks Augmentation With Manifold-Barycentric Oversampling. IEEE Access Iaroslav Bespalov, Nazar Buzun, Oleg Kachan, Dmitry V. Dylov
2022	J	`jnl`	MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2022	J	`jnl`	Medical Image Captioning via Generative Pretrained Transformers. CoRR Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov
2022	—	`conf`	Optimal MRI Undersampling Patterns for Pathology Localization. MICCAI (6) Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov
2022	J	`jnl`	PyTorch Image Quality: Metrics for Image Quality Assessment. CoRR Sergey Kastryulin, Jamil Zakirov, Denis Prokopenko, Dmitry V. Dylov
2022	J	`jnl`	Self-supervised Physics-based Denoising for Computed Tomography. CoRR Elvira Zainulina, Alexey Chernyavskiy, Dmitry V. Dylov
2022	A*	`conf`	Strong Gaussian Approximation for the Sum of Random Vectors. COLT Nazar Buzun, Nikolay Shvetsov, Dmitry V. Dylov
2022	J	`jnl`	Tubular shape aware data generation for segmentation in medical imaging. Int. J. Comput. Assist. Radiol. Surg. Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov
2021	A	`conf`	Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. EACL Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko
2021	J	`jnl`	Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. CoRR Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko
2021	J	`jnl`	Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders. IEEE Access Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov
2021	J	`jnl`	Data Augmentation with Manifold Barycenters. CoRR Iaroslav Bespalov, Nazar Buzun, Oleg Kachan, Dmitry V. Dylov
2021	J	`jnl`	Decentralized Autofocusing System with Hierarchical Agents. CoRR Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov
2021	—	`conf`	Deep Learning Framework For Mobile Microscopy. ISBI Anatasiia Kornilova, Mikhail Salnikov, Olga Novitskaya, Maria Begicheva, Egor Sevriugov, Kirill Shcherbakov, Valeriya Pronina, Dmitry V. Dylov
2021	—	`conf`	Deep Learning for Spatio-Temporal Localization of Temporomandibular Joint in Ultrasound Videos. BIBM Kristina Belikova, Aleksandra Zailer, Svetlana V. Tekucheva, Sergey N. Ermoljev, Dmitry V. Dylov
2021	J	`jnl`	Defining Optimal Exercises for Efficient Detection of Parkinson's Disease Using Machine Learning and Wearable Sensors. IEEE Trans. Instrum. Meas. Aleksandr Talitckii, Anna Anikina, Ekaterina Kovalenko, Aleksei Shcherbak, Oscar Mayora, Olga Zimniakova, Ekaterina Bril, Maxim Semenov, Dmitry V. Dylov, Andrey Somov
2021	—	`conf`	Landmark Constellation Models For Central Venous Catheter Malposition Detection. ISBI Ilyas Sirazitdinov, Matthias Lenga, Ivo M. Baltruschat, Dmitry V. Dylov, Axel Saalbach
2021	—	`conf`	No-Reference Denoising Of Low-Dose Ct Projections. ISBI Elvira Zainulina, Alexey Chernyavskiy, Dmitry V. Dylov
2021	J	`jnl`	No-reference denoising of low-dose CT projections. CoRR Elvira Zainulina, Alexey Chernyavskiy, Dmitry V. Dylov
2021	J	`jnl`	Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks. CoRR Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov
2021	—	`conf`	Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution. MICCAI (6) Aleksandr Belov, Joël Valentin Stadelmann, Sergey Kastryulin, Dmitry V. Dylov
2021	J	`jnl`	Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution. CoRR Aleksandr Belov, Joël Valentin Stadelmann, Sergey Kastryulin, Dmitry V. Dylov
2020	J	`jnl`	Adaptive Neural Layer for Globally Filtered Segmentation. CoRR Viktor Shipitsin, Iaroslav Bespalov, Dmitry V. Dylov
2020	J	`jnl`	Anomaly Detection with Deep Perceptual Autoencoders. CoRR Nina Tuluptceva, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov
2020	J	`jnl`	BRULÉ: Barycenter-Regularized Unsupervised Landmark Extraction. CoRR Iaroslav Bespalov, Nazar Buzun, Dmitry V. Dylov
2020	—	`conf`	Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage. PervasiveHealth Aleksandr Talitckii, Anna Anikina, Ekaterina Kovalenko, Oscar Mayora, Venet Osmani, Olga Zimniakova, Maxim Semenov, Ekaterina Bril, Dmitry V. Dylov, Andrey Somov
2020	—	`conf`	Deep Learning for Non-invasive Cortical Potential Imaging. MLCN/RNO-AI@MICCAI Alexandra Razorenova, Nikolay B. Yavich, Mikhail S. Malovichko, Maxim V. Fedorov, Nikolay A. Koshev, Dmitry V. Dylov
2020	J	`jnl`	Deep Negative Volume Segmentation. CoRR Kristina Belikova, Oleg Rogov, Aleksandr Rybakov, Maxim V. Maslov, Dmitry V. Dylov
2020	J	`jnl`	Learnable Hollow Kernels for Anatomical Segmentation. CoRR Elizaveta Lazareva, Oleg Rogov, Olga Shegai, Denis Larionov, Dmitry V. Dylov
2020	—	`conf`	Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters. ECCV (20) Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis
2020	C	`conf`	Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning. ICARCV Vito M. Leli, Aleksandr Rubashevskii, Aleksandr Sarachakov, Oleg Rogov, Dmitry V. Dylov
2020	—	`conf`	Personalized Computational Human Phantoms via a Hybrid Model-based Deep Learning Method. MeMeA Hamidreza Khodajou-Chokami, Adeleh Bitarafan, Dmitry V. Dylov, Mahdieh Soleymani Baghshah, Seyed Abolfazl Hosseini
2020	A*	`conf`	Reinforcement Learning Framework for Deep Brain Stimulation Study. IJCAI Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
2020	J	`jnl`	Reinforcement Learning Framework for Deep Brain Stimulation Study. CoRR Dmitrii Krylov, Rémi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
2020	J	`jnl`	Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging. CoRR Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov
2020	B	`conf`	Unsupervised non-parametric change point detection in electrocardiography. SSDBM Nikolay Shvetsov, Nazar Buzun, Dmitry V. Dylov
2020	J	`jnl`	Unsupervised non-parametric change point detection in quasi-periodic signals. CoRR Nikolay Shvetsov, Nazar Buzun, Dmitry V. Dylov
2019	—	`conf`	Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts. BIBM Artem Shelmanov, Vadim Liventsev, Danil Kireev, Nikita Khromov, Alexander Panchenko, Irina Fedulova, Dmitry V. Dylov
2019	—	`conf`	Data Fusion Approach for Constructing Unsupervised Augmented Voxel-Based Statistical Anthropomorphic Phantoms. BIBM Hamidreza Khodajou-Chokami, Dmitry V. Dylov
2019	—	`conf`	Deep Text Prior: Weakly Supervised Learning for Assertion Classification. ICANN (Workshop) Vadim Liventsev, Irina Fedulova, Dmitry V. Dylov
2019	J	`jnl`	Microscopy Image Restoration with Deep Wiener-Kolmogorov filters. CoRR Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis
2019	—	`conf`	Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images. BIBM Ivan Rodin, Irina Fedulova, Artem Shelmanov, Dmitry V. Dylov
2019	J	`jnl`	Synthetic CT Generation from MRI Using Improved DualGAN. CoRR Denis Prokopenko, Joël Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, Dmitry V. Dylov
2019	—	`conf`	Unpaired Synthetic Image Generation in Radiology Using GANs. AIRT@MICCAI Denis Prokopenko, Joël Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, Dmitry V. Dylov
2017	—	`conf`	Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopy. ISBI Aritra Chowdhury, Dmitry V. Dylov, Qing Li, Michael MacDonald, Dan E. Meyer, Michael Marino, Alberto Santamaría-Pang