Alexey Shevtsov
According to our database1,
Alexey Shevtsov
authored at least 6 papers
between 2019 and 2024.
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Bibliography
2024
The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study.
CoRR, 2024
2022
Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application.
IEEE J. Biomed. Health Informatics, 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
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
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