N D Kudryavtsev - JoVE Visualize

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Vestnik Oftalmologii|October 20, 2021

[Functional multislice computed tomography of the orbits in diagnosis of incomitant strabismus]S S Danilov, Y O Grusha, N D Kudryavtsev

Sovremennye Tekhnologii V Meditsine|December 22, 2025

Development of L1 Vertebral Anthropomorphic Model for Densitometric Phantom ImprovementA V Petraikin, A M Mikhailova, N D Kudryavtsev, et al.

Zhurnal Voprosy Neirokhirurgii Imeni N. N. Burdenko|February 8, 2020

[Application of a modified Time-SLIP MRI sequence for visualization of cerebrospinal fluid movement in the cerebral aqueduct and cervical spinal canal]A V Petryaykin, A K Smorchkova, K A Sergunova, et al.

Magnetic Resonance Imaging|March 17, 2021

Chest MRI of patients with COVID-19Yu A Vasilev, K A Sergunova, A V Bazhin, et al.

Problemy Endokrinologii|December 28, 2020

[Artificial intelligence for diagnosis of vertebral compression fractures using a morphometric analysis model, based on convolutional neural networks]A V Petraikin, Zh E Belaya, A N Kiseleva, et al.

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Showing results (1-10 of 5) with videos related to

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Vestnik Oftalmologii|October 20, 2021

[Functional multislice computed tomography of the orbits in diagnosis of incomitant strabismus]S S Danilov, Y O Grusha, N D Kudryavtsev

Sovremennye Tekhnologii V Meditsine|December 22, 2025

Development of L1 Vertebral Anthropomorphic Model for Densitometric Phantom ImprovementA V Petraikin, A M Mikhailova, N D Kudryavtsev, et al.

Zhurnal Voprosy Neirokhirurgii Imeni N. N. Burdenko|February 8, 2020

[Application of a modified Time-SLIP MRI sequence for visualization of cerebrospinal fluid movement in the cerebral aqueduct and cervical spinal canal]A V Petryaykin, A K Smorchkova, K A Sergunova, et al.

Magnetic Resonance Imaging|March 17, 2021

Chest MRI of patients with COVID-19Yu A Vasilev, K A Sergunova, A V Bazhin, et al.

Problemy Endokrinologii|December 28, 2020

[Artificial intelligence for diagnosis of vertebral compression fractures using a morphometric analysis model, based on convolutional neural networks]A V Petraikin, Zh E Belaya, A N Kiseleva, et al.

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