Mikhail G. Belyaev
Moscow, MOW, Russian Federation
Last Updated: 09/26/2026
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Found 11 publications
Opportunistic screening for osteoporosis using artificial intelligence-based morphometric analysis of chest computed tomography images: a retrospective multi-center study in Russia leveraging the COVID-19 pandemic.
Journal: Asian spine journal
Published: September 20, 2024
Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation.
Journal: Journal of imaging
Published: August 07, 2023
Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps Consistency.
Journal: Journal of imaging
Published: May 27, 2022
Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application.
Journal: IEEE journal of biomedical and health informatics
Published: February 25, 2022
Interpretable vertebral fracture quantification via anchor-free landmarks localization.
Journal: Medical image analysis
Published: December 17, 2021
Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data.
Journal: Studies in health technology and informatics
Published: May 27, 2021
Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization.
Journal: Journal of imaging
Published: December 31, 2020
Artificial intelligence for diagnosis of vertebral compression fractures using a morphometric analysis model, based on convolutional neural networks
Journal: Problemy endokrinologii
Published: August 27, 2020
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification.
Journal: Medical image analysis
Published: June 02, 2020
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI.
Journal: Frontiers in neurology
Published: May 04, 2018
Showing 1-11 of 11
Last Updated: 09/26/2026