Dmitry V. Dylov

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 66

Top Topics

Quality Assessment

Magnetic Resonance

Top Venues

Publications

Nikolay Kalmykov, Rishat R. Zagidullin, Oleg Rogov, Sergey Rykovanov, Dmitry V. Dylov
Suppressing Modulation Instability with Reinforcement Learning. CoRR (2024)
Maksim Bobrin, Nazar Buzun, Dmitrii Krylov, Dmitry V. Dylov
Align Your Intents: Offline Imitation Learning via Optimal Transport. CoRR (2024)
Nazar Buzun, Maksim Bobrin, Dmitry V. Dylov
ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport. CoRR (2024)
Sergey Kastryulin, Denis Prokopenko, Artem Babenko, Dmitry V. Dylov
QUASAR: QUality and Aesthetics Scoring with Advanced Representations. CoRR (2024)
Razan Dibo, Andrey 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)
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 (2023)
Artem Razumov, Dmitry V. Dylov
Learnable Objective Image Function for Accelerated MRI Reconstruction. STACOM@MICCAI (2023)
Sergey Kastryulin, Jamil Zakirov, Nicola Pezzotti, Dmitry V. Dylov
Image Quality Assessment for Magnetic Resonance Imaging. IEEE Access 11 (2023)
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 (2023)
Razan Dibo, Andrey Galichin, Pavel Astashev, Dmitry V. Dylov, Oleg Y. Rogov
DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images. CoRR (2023)
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)
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) (2022)
Ivan Zakazov, Vladimir Shaposhnikov, Iaroslav Bespalov, Dmitry V. Dylov
Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging. CoRR (2022)
Sergey Kastryulin, Jamil Zakirov, Nicola Pezzotti, Dmitry V. Dylov
Image Quality Assessment for Magnetic Resonance Imaging. CoRR (2022)
Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob White, Dmitry V. Dylov
Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging. CoRR (2022)
Ivan Zakazov, Vladimir Shaposhnikov, Iaroslav Bespalov, Dmitry V. Dylov
Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging. DART@MICCAI (2022)
Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov
Medical Image Captioning via Generative Pretrained Transformers. CoRR (2022)
Sergey Kastryulin, Jamil Zakirov, Denis Prokopenko, Dmitry V. Dylov
PyTorch Image Quality: Metrics for Image Quality Assessment. CoRR (2022)
Viktor Shipitsin, Iaroslav Bespalov, Dmitry V. Dylov
GAFL: Global adaptive filtering layer for computer vision. Comput. Vis. Image Underst. 223 (2022)
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)
Iaroslav Bespalov, Nazar Buzun, Oleg Kachan, Dmitry V. Dylov
LAMBO: Landmarks Augmentation With Manifold-Barycentric Oversampling. IEEE Access 10 (2022)
Ilyas Sirazitdinov, Axel Saalbach, Heinrich Schulz, Dmitry V. Dylov
Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks. MICCAI (4) (2022)
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 (2022)
Nazar Buzun, Nikolay Shvetsov, Dmitry V. Dylov
Strong Gaussian Approximation for the Sum of Random Vectors. COLT (2022)
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 (2022)
Iaroslav Bespalov, Nazar Buzun, Dmitry V. Dylov
BRULÈ: Barycenter-Regularized Unsupervised Landmark Extraction. Pattern Recognit. 131 (2022)
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) (2022)
Elvira Zainulina, Alexey Chernyavskiy, Dmitry V. Dylov
Self-supervised Physics-based Denoising for Computed Tomography. CoRR (2022)
Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov
Optimal MRI Undersampling Patterns for Pathology Localization. MICCAI (6) (2022)
Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks. CoRR (2021)
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 (2021)
Elvira Zainulina, Alexey Chernyavskiy, Dmitry V. Dylov
No-reference denoising of low-dose CT projections. CoRR (2021)
Elvira Zainulina, Alexey Chernyavskiy, Dmitry V. Dylov
No-Reference Denoising Of Low-Dose Ct Projections. ISBI (2021)
Nina Shvetsova, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov
Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders. IEEE Access 9 (2021)
Aleksandr Belov, Joël Valentin Stadelmann, Sergey Kastryulin, Dmitry V. Dylov
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution. CoRR (2021)
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 (2021)
Ilyas Sirazitdinov, Matthias Lenga, Ivo M. Baltruschat, Dmitry V. Dylov, Axel Saalbach
Landmark Constellation Models For Central Venous Catheter Malposition Detection. ISBI (2021)
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)
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)
Iaroslav Bespalov, Nazar Buzun, Oleg Kachan, Dmitry V. Dylov
Data Augmentation with Manifold Barycenters. CoRR (2021)
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)
Aleksandr Belov, Joël Valentin Stadelmann, Sergey Kastryulin, Dmitry V. Dylov
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution. MICCAI (6) (2021)
Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov
Decentralized Autofocusing System with Hierarchical Agents. CoRR (2021)
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)
Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis
Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters. ECCV (20) (2020)
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)
Kristina Belikova, Oleg Rogov, Aleksandr Rybakov, Maxim V. Maslov, Dmitry V. Dylov
Deep Negative Volume Segmentation. CoRR (2020)
Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
Reinforcement Learning Framework for Deep Brain Stimulation Study. IJCAI (2020)
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)
Nina Tuluptceva, Bart Bakker, Irina Fedulova, Heinrich Schulz, Dmitry V. Dylov
Anomaly Detection with Deep Perceptual Autoencoders. CoRR (2020)
Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging. CoRR (2020)
Nikolay Shvetsov, Nazar Buzun, Dmitry V. Dylov
Unsupervised non-parametric change point detection in electrocardiography. SSDBM (2020)
Dmitrii Krylov, Rémi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
Reinforcement Learning Framework for Deep Brain Stimulation Study. CoRR (2020)
Elizaveta Lazareva, Oleg Rogov, Olga Shegai, Denis Larionov, Dmitry V. Dylov
Learnable Hollow Kernels for Anatomical Segmentation. CoRR (2020)
Iaroslav Bespalov, Nazar Buzun, Dmitry V. Dylov
BRULÉ: Barycenter-Regularized Unsupervised Landmark Extraction. CoRR (2020)
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)
Viktor Shipitsin, Iaroslav Bespalov, Dmitry V. Dylov
Adaptive Neural Layer for Globally Filtered Segmentation. CoRR (2020)
Nikolay Shvetsov, Nazar Buzun, Dmitry V. Dylov
Unsupervised non-parametric change point detection in quasi-periodic signals. CoRR (2020)
Ivan Rodin, Irina Fedulova, Artem Shelmanov, Dmitry V. Dylov
Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images. BIBM (2019)
Denis Prokopenko, Joël Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, Dmitry V. Dylov
Synthetic CT Generation from MRI Using Improved DualGAN. CoRR (2019)
Hamidreza Khodajou-Chokami, Dmitry V. Dylov
Data Fusion Approach for Constructing Unsupervised Augmented Voxel-Based Statistical Anthropomorphic Phantoms. BIBM (2019)
Denis Prokopenko, Joël Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, Dmitry V. Dylov
Unpaired Synthetic Image Generation in Radiology Using GANs. AIRT@MICCAI (2019)
Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis
Microscopy Image Restoration with Deep Wiener-Kolmogorov filters. CoRR (2019)
Vadim Liventsev, Irina Fedulova, Dmitry V. Dylov
Deep Text Prior: Weakly Supervised Learning for Assertion Classification. ICANN (Workshop) (2019)
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)
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)