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Mikhail Belyaev

Showing results (1-10 of 9) with videos related to

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Journal of Imaging|September 22, 2022
Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps ConsistencyStanislav Shimovolos, Andrey Shushko, Mikhail Belyaev, et al.
Journal of Imaging|September 27, 2023
Limitations of Out-of-Distribution Detection in 3D Medical Image SegmentationAnton Vasiliuk, Daria Frolova, Mikhail Belyaev, et al.
Studies in Health Technology and Informatics|May 27, 2021
Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical DataAnvar Kurmukov, Aleksandra Dalechina, Talgat Saparov, et al.
Medical Image Analysis|October 24, 2022
Interpretable vertebral fracture quantification via anchor-free landmarks localizationAlexey Zakharov, Maxim Pisov, Alim Bukharaev, et al.
IEEE Journal of Biomedical and Health Informatics|February 25, 2022
Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery ApplicationBoris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, et al.
Journal of Imaging|August 30, 2021
Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target LocalizationBoris Shirokikh, Alexey Shevtsov, Alexandra Dalechina, et al.
Medical Image Analysis|May 1, 2021
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantificationMikhail Goncharov, Maxim Pisov, Alexey Shevtsov, et al.
Frontiers in Neurology|October 2, 2018
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRIStefan Winzeck, Arsany Hakim, Richard McKinley, et al.
IEEE Transactions on Medical Imaging|March 26, 2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation ChallengeHugo J Kuijf, J Matthijs Biesbroek, Jeroen De Bresser, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Imaging|September 22, 2022
Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps ConsistencyStanislav Shimovolos, Andrey Shushko, Mikhail Belyaev, et al.
Journal of Imaging|September 27, 2023
Limitations of Out-of-Distribution Detection in 3D Medical Image SegmentationAnton Vasiliuk, Daria Frolova, Mikhail Belyaev, et al.
Studies in Health Technology and Informatics|May 27, 2021
Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical DataAnvar Kurmukov, Aleksandra Dalechina, Talgat Saparov, et al.
Medical Image Analysis|October 24, 2022
Interpretable vertebral fracture quantification via anchor-free landmarks localizationAlexey Zakharov, Maxim Pisov, Alim Bukharaev, et al.
IEEE Journal of Biomedical and Health Informatics|February 25, 2022
Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery ApplicationBoris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, et al.
Journal of Imaging|August 30, 2021
Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target LocalizationBoris Shirokikh, Alexey Shevtsov, Alexandra Dalechina, et al.
Medical Image Analysis|May 1, 2021
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantificationMikhail Goncharov, Maxim Pisov, Alexey Shevtsov, et al.
Frontiers in Neurology|October 2, 2018
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRIStefan Winzeck, Arsany Hakim, Richard McKinley, et al.
IEEE Transactions on Medical Imaging|March 26, 2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation ChallengeHugo J Kuijf, J Matthijs Biesbroek, Jeroen De Bresser, et al.
Pageof 1