Mikhail Belyaev
Orcid: 0000-0001-9906-6453
According to our database1,
Mikhail Belyaev
authored at least 37 papers
between 2015 and 2023.
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Bibliography
2023
Interpretable vertebral fracture quantification via anchor-free landmarks localization.
Medical Image Anal., 2023
J. Imaging, 2023
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application.
IEEE J. Biomed. Health Informatics, 2022
Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps Consistency.
J. Imaging, 2022
CoRR, 2022
2021
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification.
Medical Image Anal., 2021
Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization.
J. Imaging, 2021
Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data.
Proceedings of the Public Health and Informatics, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021
2020
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging, 2019
Multi-domain CT metal artifacts reduction using partial convolution based inpainting.
CoRR, 2019
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support, 2019
Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 2019
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging.
Proceedings of the Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities, 2018
Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
2017
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Kernel classification of connectomes based on earth mover's distance between graph spectra.
CoRR, 2016
Boosting connectome classification via combination of geometric and topological normalizations.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Classification of structural brain networks based on information divergence of graph spectra.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Proceedings of the 4th International Winter Conference on Brain-Computer Interface, 2016
2015
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015