Dmitry V. Dylov
Orcid: 0000-0003-2251-3221
According to our database1,
Dmitry V. Dylov
authored at least 55 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport.
CoRR, 2024
2023
FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures.
CoRR, 2023
Detect to Focus: Latent-Space Autofocusing System With Decentralized Hierarchical Multi-Agent Reinforcement Learning.
IEEE Access, 2023
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
DeepLOC: Deep Learning-Based Bone Pathology Localization and Classification in Wrist X-Ray Images.
Proceedings of the Analysis of Images, Social Networks and Texts, 2023
2022
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.
IEEE Trans. Medical Imaging, 2022
Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson's Disease.
IEEE Trans. Instrum. Meas., 2022
Pattern Recognit., 2022
Comput. Vis. Image Underst., 2022
IEEE Control. Syst. Lett., 2022
Int. J. Comput. Assist. Radiol. Surg., 2022
IEEE Access, 2022
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022
Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
2021
Defining Optimal Exercises for Efficient Detection of Parkinson's Disease Using Machine Learning and Wearable Sensors.
IEEE Trans. Instrum. Meas., 2021
CoRR, 2021
IEEE Access, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Deep Learning for Spatio-Temporal Localization of Temporomandibular Joint in Ultrasound Videos.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
CoRR, 2020
CoRR, 2020
Proceedings of the SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management, 2020
Proceedings of the PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2020
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
Personalized Computational Human Phantoms via a Hybrid Model-based Deep Learning Method.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning.
Proceedings of the 16th International Conference on Control, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Data Fusion Approach for Constructing Unsupervised Augmented Voxel-Based Statistical Anthropomorphic Phantoms.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2017
Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopy.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017