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ORCIDDmitry V. Dylov
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2020 – today
- 2025
[j15]Vladimir Shaposhnikov, Iaroslav Bespalov, Dmitry V. Dylov
:
Graph-CAM: Explainable Image Features via Graph Neural Network in Fourier Domain. IEEE Access 13: 55456-55465 (2025)- [j14]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:
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. Medical Image Anal. 101: 103485 (2025) - [j13]Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi:
FS-Net: Full scale network and adaptive threshold for improving extraction of micro-retinal vessel structures. Pattern Recognit. Lett. 189: 188-194 (2025) - [i29]Ivan Bakulin, Ilia Kopanichuk, Iaroslav Bespalov, Nikita Radchenko, Vladimir Shaposhnikov, Dmitry V. Dylov, Ivan V. Oseledets:
FLAME: Flexible LLM-Assisted Moderation Engine. CoRR abs/2502.09175 (2025) - 2024
- [j12]Sergey Kastryulin, Denis Prokopenko, Artem Babenko, Dmitry V. Dylov:
QUASAR: QUality and Aesthetics Scoring With Advanced Representations. IEEE Access 12: 160946-160956 (2024) - [c30]Hanna Yousef, Tanjulee Siddique, Raouf Fareh, Kheireddine Choutri, Dmitry V. Dylov, Sofiane Khadraoui:
Reinforcement Learning-tuned Active Disturbance Rejection Controller for Tracking Control of a 4-DoF Robot Manipulator. ICCMA 2024: 125-130 - [c29]Ilyas Sirazitdinov, Dmitry V. Dylov:
Centerline-Diameters Data Structure for Interactive Segmentation of Tube-Shaped Objects. MICCAI (9) 2024: 171-180 - [c28]Nazar Buzun, Maksim Bobrin, Dmitry V. Dylov:
Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport. NeurIPS 2024 - [i28]Maksim Bobrin, Nazar Buzun, Dmitrii Krylov, Dmitry V. Dylov:
Align Your Intents: Offline Imitation Learning via Optimal Transport. CoRR abs/2402.13037 (2024) - [i27]Nazar Buzun, Maksim Bobrin, Dmitry V. Dylov:
ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport. CoRR abs/2403.03777 (2024) - [i26]Sergey Kastryulin, Denis Prokopenko, Artem Babenko, Dmitry V. Dylov:
QUASAR: QUality and Aesthetics Scoring with Advanced Representations. CoRR abs/2403.06866 (2024) - [i25]Nikolay Kalmykov, Rishat R. Zagidullin, Oleg Rogov, Sergey Rykovanov, Dmitry V. Dylov:
Suppressing Modulation Instability with Reinforcement Learning. CoRR abs/2404.04310 (2024) - 2023
- [j11]Sergey Kastryulin, Jamil Zakirov, Nicola Pezzotti, Dmitry V. Dylov:
Image Quality Assessment for Magnetic Resonance Imaging. IEEE Access 11: 14154-14168 (2023) - [j10]Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov:
Detect to Focus: Latent-Space Autofocusing System With Decentralized Hierarchical Multi-Agent Reinforcement Learning. IEEE Access 11: 85214-85223 (2023) - [c27]Razan Dibo, Andrey V. Galichin, Pavel Astashev, Dmitry V. Dylov, Oleg Y. Rogov:
DeepLOC: Deep Learning-Based Bone Pathology Localization and Classification in Wrist X-Ray Images. AIST 2023: 199-211 - [c26]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:
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312 - [c25]Artem Razumov, Dmitry V. Dylov:
Learnable Objective Image Function for Accelerated MRI Reconstruction. STACOM@MICCAI 2023: 274-282 - [i24]Razan Dibo, Andrey V. Galichin, Pavel Astashev, Dmitry V. Dylov, Oleg Y. Rogov:
DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images. CoRR abs/2308.12727 (2023) - [i23]Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi:
FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures. CoRR abs/2311.08059 (2023) - 2022
- [j9]Iaroslav Bespalov, Nazar Buzun, Oleg Kachan, Dmitry V. Dylov:
LAMBO: Landmarks Augmentation With Manifold-Barycentric Oversampling. IEEE Access 10: 117757-117769 (2022) - [j8]Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov:
Tubular shape aware data generation for segmentation in medical imaging. Int. J. Comput. Assist. Radiol. Surg. 17(6): 1091-1099 (2022) - [j7]Vito M. Leli, Viktor Shipitsin, Oleg Y. Rogov, Aleksandr Sarachakov, Dmitry V. Dylov:
Adaptive Denoising and Alignment Agents for Infrared Imaging. IEEE Control. Syst. Lett. 6: 1586-1591 (2022) - [j6]Viktor Shipitsin, Iaroslav Bespalov, Dmitry V. Dylov:
GAFL: Global adaptive filtering layer for computer vision. Comput. Vis. Image Underst. 223: 103519 (2022) - [j5]Iaroslav Bespalov, Nazar Buzun, Dmitry V. Dylov:
BRULÈ: Barycenter-Regularized Unsupervised Landmark Extraction. Pattern Recognit. 131: 108816 (2022) - [j4]Aleksandr Talitckii, Ekaterina Kovalenko, Aleksei Shcherbak, Anna Anikina, Ekaterina Bril, Olga Zimniakova, Maxim Semenov, Dmitry V. Dylov, Andrey Somov:
Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson's Disease. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j3]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:
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - [c24]Nazar Buzun, Nikolay Shvetsov, Dmitry V. Dylov:
Strong Gaussian Approximation for the Sum of Random Vectors. COLT 2022: 1693-1715 - [c23]Ivan Zakazov, Vladimir Shaposhnikov, Iaroslav Bespalov, Dmitry V. Dylov:
Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging. DART@MICCAI 2022: 88-97 - [c22]Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob White, Dmitry V. Dylov:
Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging. MICCAI (6) 2022: 365-375 - [c21]Ilyas Sirazitdinov, Axel Saalbach, Heinrich Schulz, Dmitry V. Dylov:
Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks. MICCAI (4) 2022: 693-703 - [c20]Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov:
Optimal MRI Undersampling Patterns for Pathology Localization. MICCAI (6) 2022: 768-779 - [i22]Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob K. White, Dmitry V. Dylov:
Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging. CoRR abs/2203.05569 (2022) - [i21]Sergey Kastryulin, Jamil Zakirov, Nicola Pezzotti, Dmitry V. Dylov:
Image Quality Assessment for Magnetic Resonance Imaging. CoRR abs/2203.07809 (2022) - [i20]Ivan Zakazov, Vladimir Shaposhnikov, Iaroslav Bespalov, Dmitry V. Dylov:
Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging. CoRR abs/2208.00474 (2022) - [i19]Sergey Kastryulin, Jamil Zakirov, Denis Prokopenko, Dmitry V. Dylov:
PyTorch Image Quality: Metrics for Image Quality Assessment. CoRR abs/2208.14818 (2022) - [i18]Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov:
Medical Image Captioning via Generative Pretrained Transformers. CoRR abs/2209.13983 (2022) - [i17]Elvira Zainulina, Alexey Chernyavskiy, Dmitry V. Dylov:
Self-supervised Physics-based Denoising for Computed Tomography. CoRR abs/2211.00745 (2022) - 2021
- [j2]Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov:
Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders. IEEE Access 9: 118571-118583 (2021) - [j1]Aleksandr Talitckii, Anna Anikina, Ekaterina Kovalenko, Aleksei Shcherbak, Oscar Mayora, Olga Zimniakova, Ekaterina Bril, Maxim Semenov, Dmitry V. Dylov, Andrey Somov:
Defining Optimal Exercises for Efficient Detection of Parkinson's Disease Using Machine Learning and Wearable Sensors. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [c19]Kristina Belikova, Aleksandra Zailer, Svetlana V. Tekucheva, Sergey N. Ermoljev, Dmitry V. Dylov:
Deep Learning for Spatio-Temporal Localization of Temporomandibular Joint in Ultrasound Videos. BIBM 2021: 1257-1261 - [c18]Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko:
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. EACL 2021: 1698-1712 - [c17]Elvira Zainulina, Alexey Chernyavskiy, Dmitry V. Dylov:
No-Reference Denoising Of Low-Dose Ct Projections. ISBI 2021: 77-81 - [c16]Anatasiia Kornilova, Mikhail Salnikov, Olga Novitskaya, Maria Begicheva, Egor Sevriugov, Kirill Shcherbakov, Valeriya Pronina, Dmitry V. Dylov:
Deep Learning Framework For Mobile Microscopy. ISBI 2021: 324-328 - [c15]Ilyas Sirazitdinov, Matthias Lenga, Ivo M. Baltruschat, Dmitry V. Dylov, Axel Saalbach:
Landmark Constellation Models For Central Venous Catheter Malposition Detection. ISBI 2021: 1132-1136 - [c14]Aleksandr Belov, Joël Valentin Stadelmann, Sergey Kastryulin, Dmitry V. Dylov:
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution. MICCAI (6) 2021: 254-264 - [i16]Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko:
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. CoRR abs/2101.08133 (2021) - [i15]Elvira Zainulina, Alexey Chernyavskiy, Dmitry V. Dylov:
No-reference denoising of low-dose CT projections. CoRR abs/2102.02662 (2021) - [i14]Aleksandr Belov, Joël Valentin Stadelmann, Sergey Kastryulin, Dmitry V. Dylov:
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution. CoRR abs/2103.02940 (2021) - [i13]Iaroslav Bespalov, Nazar Buzun, Oleg Kachan, Dmitry V. Dylov:
Data Augmentation with Manifold Barycenters. CoRR abs/2104.00925 (2021) - [i12]Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov:
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks. CoRR abs/2108.04914 (2021) - [i11]Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov:
Decentralized Autofocusing System with Hierarchical Agents. CoRR abs/2108.12842 (2021) - 2020
- [c13]Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis:
Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters. ECCV (20) 2020: 185-201 - [c12]Vito M. Leli, Aleksandr Rubashevskii, Aleksandr Sarachakov, Oleg Rogov, Dmitry V. Dylov:
Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning. ICARCV 2020: 434-441 - [c11]Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov:
Reinforcement Learning Framework for Deep Brain Stimulation Study. IJCAI 2020: 2847-2854 - [c10]Hamidreza Khodajou-Chokami, Adeleh Bitarafan, Dmitry V. Dylov, Mahdieh Soleymani Baghshah, Seyed Abolfazl Hosseini:
Personalized Computational Human Phantoms via a Hybrid Model-based Deep Learning Method. MeMeA 2020: 1-6 - [c9]Alexandra Razorenova, Nikolay B. Yavich, Mikhail S. Malovichko, Maxim V. Fedorov, Nikolay A. Koshev, Dmitry V. Dylov:
Deep Learning for Non-invasive Cortical Potential Imaging. MLCN/RNO-AI@MICCAI 2020: 45-55 - [c8]Aleksandr Talitckii, Anna Anikina, Ekaterina Kovalenko, Oscar Mayora, Venet Osmani, Olga Zimniakova, Maxim Semenov, Ekaterina Bril, Dmitry V. Dylov, Andrey Somov:
Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage. PervasiveHealth 2020: 419-422 - [c7]Nikolay Shvetsov, Nazar Buzun, Dmitry V. Dylov:
Unsupervised non-parametric change point detection in electrocardiography. SSDBM 2020: 19:1-19:4 - [i10]Nikolay Shvetsov, Nazar Buzun, Dmitry V. Dylov:
Unsupervised non-parametric change point detection in quasi-periodic signals. CoRR abs/2002.02717 (2020) - [i9]Dmitrii Krylov, Rémi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov:
Reinforcement Learning Framework for Deep Brain Stimulation Study. CoRR abs/2002.10948 (2020) - [i8]Iaroslav Bespalov, Nazar Buzun, Dmitry V. Dylov:
BRULÉ: Barycenter-Regularized Unsupervised Landmark Extraction. CoRR abs/2006.11643 (2020) - [i7]Kristina Belikova, Oleg Rogov, Aleksandr Rybakov, Maxim V. Maslov, Dmitry V. Dylov:
Deep Negative Volume Segmentation. CoRR abs/2006.12430 (2020) - [i6]Nina Tuluptceva, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov:
Anomaly Detection with Deep Perceptual Autoencoders. CoRR abs/2006.13265 (2020) - [i5]Elizaveta Lazareva, Oleg Rogov, Olga Shegai, Denis Larionov, Dmitry V. Dylov:
Learnable Hollow Kernels for Anatomical Segmentation. CoRR abs/2007.05103 (2020) - [i4]Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov:
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging. CoRR abs/2010.00907 (2020) - [i3]Viktor Shipitsin, Iaroslav Bespalov, Dmitry V. Dylov:
Adaptive Neural Layer for Globally Filtered Segmentation. CoRR abs/2010.01177 (2020)
2010 – 2019
- 2019
- [c6]Artem Shelmanov, Vadim Liventsev, Danil Kireev, Nikita Khromov, Alexander Panchenko, Irina Fedulova, Dmitry V. Dylov:
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts. BIBM 2019: 482-489 - [c5]Hamidreza Khodajou-Chokami, Dmitry V. Dylov:
Data Fusion Approach for Constructing Unsupervised Augmented Voxel-Based Statistical Anthropomorphic Phantoms. BIBM 2019: 1508-1512 - [c4]Ivan Rodin, Irina Fedulova, Artem Shelmanov, Dmitry V. Dylov:
Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images. BIBM 2019: 1601-1604 - [c3]Vadim Liventsev, Irina Fedulova, Dmitry V. Dylov:
Deep Text Prior: Weakly Supervised Learning for Assertion Classification. ICANN (Workshop) 2019: 243-257 - [c2]Denis Prokopenko, Joël Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, Dmitry V. Dylov:
Unpaired Synthetic Image Generation in Radiology Using GANs. AIRT@MICCAI 2019: 94-101 - [i2]Denis Prokopenko, Joël Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, Dmitry V. Dylov:
Synthetic CT Generation from MRI Using Improved DualGAN. CoRR abs/1909.08942 (2019) - [i1]Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis:
Microscopy Image Restoration with Deep Wiener-Kolmogorov filters. CoRR abs/1911.10989 (2019) - 2017
- [c1]Aritra Chowdhury, Dmitry V. Dylov, Qing Li, Michael MacDonald, Dan E. Meyer, Michael Marino, Alberto Santamaría-Pang:
Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopy. ISBI 2017: 629-632
Coauthor Index
Oleg Rogov
aka: Oleg Y. Rogov
aka: Oleg Y. Rogov
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