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Structural and Optical Characteristics of Flexible Optically Rewritable Electronic Paper
Kudreyko, Aleksey, Chigrinov, Vladimir (2022)
imaging technologies
Photosensitive Alignment: Advanced Electronic Paper-Based Devices
Chigrinov, V., Kudreyko, A., Sun, J. (2022)
be irrelevant. In particular, we have tested and discussed several techniques of color and 3D image formation
3D-ПЕЧАТЬ В МЕДИЦИНЕ
3D-PRINTING IN MEDICINE
Кашапова, Г.Р., Исмагилова, Э.М., Kashapova, G.R., Ismagilova, E.M. (2024)
additive technologies
Patterned photoalignment in thin films: Physics and applications
Chigrinov, V., Kudreyko, A., Guo, Q. (2021)
Imaging technolo-gies
EchoNavigator (R) technology facilitates transapical mitral paravalvular leak closure: a case report
Buzaev, IV, Khalikova, G, Plechev, V.V., Onorato, EM (2021)
introduced fusion imaging modalities enhanced visualization of soft tissue anatomy and device location
IDENTIFICATION OF CARBONIC ANHYDRASE IX AS A NOVEL TARGET FOR ENDOSCOPIC MOLECULAR IMAGING OF HUMAN BLADDER CANCER
Wang, J., Fang, R., Wang, L., Chen, G., Wang, H., Wang, Z., Zhao, D., Pavlov, V.N., Kabirov, I., Wang, Z., Guo, P., Peng, L., Xu, W. (2018)
has intrinsic shortcomings. Although current optical imaging technologies hold great potential
Фотоориентированные сегнетоэлектрические жидкокристаллические устройства с новыми электрооптическими характеристиками
Photo-Aligned Ferroelectric Liquid Crystal Devices with Novel Electro-Optic Characteristics
Чигринов, Владимир, Го, Ци, Кудрейко, Алексей, CHIGRINOV V., GUO Q., KUDREIKO A.A. (2020)
IMAGING TECHNOLOGIES
Современные возможности применения технологий искусственного интеллекта в сердечно-сосудистой визуализации
Modern capabilities of artificial intelligence technologies in cardiovascular imaging
Islamgulov, Almaz Kh., Bogdanova, Alina S., Sufiiarov, Damir I., Chernyavskaya, Alina V., Bairakaeva, Elena R., Maksimova, Anastasia A., Nemychnikov, Nikita V., Bikieva, Dina R., Shakhmaeva, Alsu I., Burdina, Lyubov A., Bolekhan, Aleksandr V., Akimov, Egor I., Shurakova, Zilya Z., Исламгулов, А.Х., Богданова, А.С., Суфияров, Д.И., Чернявская, А.В., Байракаева, Е.Р., Максимова, А.А., Немычников, Н.В., Бикиева, Д.Р., Шахмаева, А.И., Бурдина, Л.А., Болехан, А.В., Акимов, Е.И., Шуракова, З.З. (2025)
Modern capabilities of artificial intelligence technologies in cardiovascular imaging
Identification of Pathological Formations in the Lungs Based on Machine Learning Methods
Shakhmametova, G.R., Vakkazov, N.O., Zulkarneev, R.KH. (2020)
The article discusses the use of deep neural networks for analysis and recognition of images
ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В ОНКОЛОГИИ: ВЗГЛЯД В БУДУЩЕЕ
ARTIFICIAL INTELLIGENCE IN ONCOLOGY: A LOOK INTO THE FUTURE
ГАНЦЕВ, Ш.Х., ФРАНЦ, М.В., Gantsev, Sh.Kh., Frants, M.V. (2019)
MEDICAL IMAGING

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