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ABOUT JoVE

Overview Leadership Blog JoVE Help Center

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Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

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JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

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Alexey Shevtsov

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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.

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Search research articles

Showing results (1-10 of 3) with videos related to

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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.

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