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  1. 1
    Academic Journal

    المساهمون: The work was carried out within the framework of a scientific topic reg. № REDTW АААА-А19- 119021190151-3, Работа выполнена в рамках научной темы рег. № НИОКТР АААА-А19- 119021190151-3

    المصدر: Ophthalmology in Russia; Том 20, № 1 (2023); 5-16 ; Офтальмология; Том 20, № 1 (2023); 5-16 ; 2500-0845 ; 1816-5095 ; 10.18008/1816-5095-2023-1

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    Relation: https://www.ophthalmojournal.com/opht/article/view/2036/1065; Shetty D. K., Talasila A., Shanbhag S., et al. Current state of artificial intelligence applications in ophthalmology and their potential to influence clinical practice., Cogent Engineering. 2021;8(1):1920707. DOI:10.1080/23311916.2021.1920707; Гарри Д.Д., Саакян С.В., Хорошилова-Маслова И.П., Цыганков А.Ю., Никитин О.И., Тарасов Г.Ю. Методы машинного обучения в офтальмологии. Обзор литературы. Офтальмология. 2020;17(1):20–31 DOI:10.18008/1816-5095-2020-1-20-31; Solli E., Dosh H., Tobias E., et. al. Archetypal Analysis Reveals Quantifiable Patterns of Visual Field Loss in Optic Neuritis. Translational vision science & technology. 2022;11(1):27. DOI:10.1167/tvst.11.1.27; Li F., Wang Y., Xu, T., et al. Deep learning based automated detection for diabetic retinopathy and diabetic macular oedema in retinal fundus photographs. Eye. 2022;36:1433–1441. DOI:10.1038/s41433-021-01552-8; Bowd C., Belghith A., Zangwill L.M., et al. Deep Learning Image Analysis of Optical Coherence Tomography Angiography Measured Vessel Density Improves Classification of Healthy and Glaucoma Eyes. American Journal of Ophthalmology. 2022;236:298–308. DOI:10.1016/j.ajo.2021.11.008; Ran A.R., Tham C.C., Chan P.P., et al. Deep learning in glaucoma with optical coherence tomography: a review. Eye. 2021;35:188–201. DOI:10.1038/s41433-020-01191-5; Teo Z.L., Tham Yih-Chung, Yu Marco, et al. Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta analysis. Ophthalmology. 2021;128(11):1580–1591. DOI:10.1016/j.ophtha.2021.04.027; Мунц И.В., Диреев А.О., Гусаревич О.Г. и др. Распространенность офтальмологических заболеваний в популяционной выборке старше 50 лет. Вестник офтальмологии. 2020;136(3):106–115. DOI:10.17116/oftalma2020136031106; Иомдина Е.Н., Бауэр С.М., Котляр К.Е. Биомеханика глаза: теоретические аспекты и клинические приложения. М.: Реал Тайм, 2015.; Национальное руководство по глаукоме: для практикующих врачей / Под ред. Егоров Е.А., Еричев В.П. М.: ГЭОТАР Медиа, 2019.; Shamaev D.M., Luzhnov P.V., Iomdina E.N. Mathematical modeling of ocular pulse blood filling in rheoophthalmography. World Congress on Medical Physics and Biomedical Engineering 2018. Springer, Singapore. 2019:495–498. DOI:10.1007/978-981-10-9035-6_91; Kadochkin Y.V., Luzhnov P.V., Iomdina E.N. Research of Motion Artefacts in Eye Blood Filling Diagnostics by Photoplethysmographic Method. In: Proc. of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020). P. 288–291 DOI:10.5220/000917530288029; Kazakov S.B., Luzhnov P.V., Davydova I.D. Method for Quantitative Assessment of the Eyes Pulse Blood Flow with Linear Axisymmetric Model. BIODEVICES. 2021:239 242. https://www.scitepress.org/Papers/2021/103858/103858.pdf; Kiseleva A.A., Luzhnov P.V., Shamaev D.M. Verification of mathematical model for bioimpedance diagnostics of the blood flow in cerebral vessels. International Conference of Artificial Intelligence, Medical Engineering, Education. Springer, Cham. 2018:251–259. DOI:10.1007/978-3-030-12082-5_23; Лужнов П.В., Шамаев Д.М., Киселева А.А., Иомдина Е.Н., Хозиев Д.Д., Киселева О.А. Метод нелинейной динамики для анализа сигналов транспальпебральной реоофтальмографии. Современные технологии в медицине. 2018;10(3):160–166. DOI:10.17691/stm2018.10.3.20; Short B. Selected aspects of ocular toxicity studies with a focus on high quality pathology reports: a pathology/toxicology consultant’s perspective. Toxicologic Pathology. 2021;49(3):673–699. DOI:10.1177/0192623320946712; Зуева М.В. Фундаментальная офтальмология: роль электрофизиологических исследований. Вестник офтальмологии. 2014;130(6):28–36.; Казайкин В.Н., Пономарев В.О., Лизунов А.В., Жданов А.Е., Долганов А.Ю., Борисов В.И. Современная роль и перспективы электрофизиологических методов исследования в офтальмологии. Обзор литературы. Офтальмология. 2020;17(4):669–675. DOI:10.18008/1816-5095-2020-4-669-675; Vincent A., Robson A.G., Holder G.E. Pathognomonic (Diagnostic) ERGs a Review and Update. Retina. 2013 Jan;33(1):5–12. DOI:10.1097/IAE.0b013e31827e2306; Santos I.S., Linares Alba M.A., Rodríguez Reyes A.A., et al. Intravitreal bromfenac with liposomes. A toxicology study in rabbit eyes. A safety study in rabbit eyes. Exp Eye Res. 2020 May;194:108020. DOI:10.1016/j.exer.2020.108020; Куликов А.Н., Николаенко Е.Н., Волков В.В., Даниличев В.Ф. Электрогенез сетчатки и зрительного нерва после витрэктомии по поводу первичного полного макулярного разрыва. Офтальмология. 2019;16(1):46–55. DOI:10.18008/1816-5095-2019-1-46-55; Leocani L., Guerrieri S., Comi G. Visual evoked potentials as a biomarker in multiple sclerosis and associated optic neuritis. Journal of Neuro-Ophthalmology. 2018;38(3):350–357. DOI:10.1097/wno.0000000000000704милан; Allam H.K., Soliman S., Wasfy T., et al. The neuro ophthalmological effects related to long term occupational exposure to organic solvents in painters. Toxicology and Industrial Health. 2018;34(2):91–98. DOI:10.1177/0748233717736598; Gauvin M., Lina J.M., Lachapelle P. Advance in ERG analysis: from peak time and amplitude to frequency, power, and energy. BioMed research international. 2014;2014:246096. DOI:10.1155/2014/246096; Johnson M.A. ISCEV extended protocol for the stimulus–response series for the dark adapted full field ERG b wave. Documenta Ophthalmologica. 2019;138(3):217–227. DOI:10.1007/s10633-019-09687-6; Кириллова М.О., Зуева М.В., Цапенко И.В., Журавлева А.Н. Электрофизиологические маркеры доклинической диагностики глаукомной оптической нейропатии. Российский офтальмологический журнал. 2021;14(1):35–41. DOI:10.21516/2072-0076-2021-14-1-35-41; Gubin D., Neroev V., Malishevskaya T., et al. Melatonin mitigates disrupted circadian rhythms, lowers intraocular pressure, and improves retinal ganglion cells function in glaucoma. Journal of Pineal Research. 2021;70(4):e12730. DOI:10.1111/jpi.12730; Dewar J., Gray J. VII. On the Physiological Action of Light. Earth and Environmental Science Transactions of The Royal Society of Edinburgh. 1873;27(1):141–166.; Verdon W.A., Schneck M.E., Haegerstrom Portnoy G. A comparison of three techniques to estimate the human dark adapted cone electroretinogram. Vision research. 2003;43(19):2089–2099. DOI:10.1016/S0042-6989(03)00330-4; Суетов А.А., Алекперов С.И., Одинокая М.А., Костина А.А., Петрова Е.А. Мультифокальная электроретинография как метод функциональной оценки лазерного повреждения сетчатки в экспериментальных исследованиях. Офтальмология. 2021;18(1):110–116. DOI:10.18008/1816-5095-2021-1-110-116; Hoffmann M.B., Bach M., Kondo M. et al. ISCEV standard for clinical multifocal electroretinography (mfERG) (2021 update). Documenta Ophthalmologica. 2021;142(1):5–16. DOI:10.1007/s10633-020-09812-w; Schröder P., Martínez Cañada P., Amorim A., et al. A Minimal Model Approach to Analyze Neuronal Circuit Dynamics from multifocal ERG (mERG). 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE. 2019:2955–2958. DOI:10.1109/embc.2019.8856840; Eremeev A.P., Ivliev S.A. Data Collection and Preparation of Training Samples for Problem Diagnosis of Vision Pathologies. Russian Conference on Artificial Intelligence. Springer, Cham. 2019:271–282. DOI:10.1007/978-3-030-30763-9_23; https://www.ophthalmojournal.com/opht/article/view/2036

  2. 2
    Academic Journal

    المساهمون: В исследовании были использованы алгоритмы, выполненные при финансовой поддержке РФФИ в рамках научного проекта № 20-37-90037.

    المصدر: Acta Biomedica Scientifica; Том 7, № 2 (2022); 190-198 ; 2587-9596 ; 2541-9420

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    Relation: https://www.actabiomedica.ru/jour/article/view/3441/2334; Verdon WA, Schneck ME, Haegerstrom-Portnoy G. A comparison of three techniques to estimate the human dark-adapted cone electroretinogram. Vision Res. 2003; 43(19): 2089-2099. doi:10.1016/s0042-6989(03)00330-4; Brigell M, Jeffrey BG, Mahroo OA, Tzekov K. ISCEV extended protocol for derivation and analysis of the strong flash rod-isolated ERG a-wave. Doc Ophthalmol. 2020; 140(1): 5-12. doi:10.1007/s10633-019-09740-4; Xiaofan J, Bhatti T, Tariq A, Ting Sh, Williams K, Hysi PG, et al. The rise-time of the rod-driven electroretinogram a-wave measured in over 200 twins: Association with age and estimation of heritability. Invest Ophthalmol. Vis Sci. 2021; 62(8): 617.; Hébert M, Mérette Ch, Gagné AM, Paccalet Th, Moreau I, Lavoie J, et al. The electroretinogram may differentiate schizophrenia from bipolar disorder. Biol Psychiatry. 2020; 87(3): 263-270. doi:10.1016/j.biopsych.2019.06.014; Akula JD, Lyubarsky AL, Naarendorp F. The sensitivity and spectral identity of the cones driving the b-wave of the rat electroretinogram. Vis Neurosci. 2003; 20(2): 109-117. doi:10.1017/s0952523803202029; Lingley AJ, Kantungane A-L, Coupland SG. Comparison of the uniform-field electroretinogram and the pattern electroretinogram to checkerboard and bar gratings. Doc Ophthalmol. 2020; 140(1): 13-21. doi:10.1007/s10633-019-09714-6; Viswanathan S, Frishman LJ, Robson JG, Walters JW. The photopic negative response of the flash electroretinogram in primary open angle glaucoma. Invest Ophthal Vis Sci. 2001; 42(2): 514-522.; Thompson DA, Fujinami K, Perlman I, Hamilton R, Robson AG. ISCEV extended protocol for the dark-adapted red flash ERG. Doc Ophthalmol. 2018; 136(3): 191-197. doi:10.1007/s10633-018-9644-z; Frishman L, Sustar M, Kremers J, McAnany JJ, Sarossy M, Tzekov R, et al. ISCEV extended protocol for the photopic negative response (PhNR) of the full-field electroretinogram. Doc Ophthalmol. 2018; 136(3): 207-211. doi:10.1007/s10633-018-9638-x; Youssef P, Nath S, Chaimowitz GA, Prat SS. Electroretinography in psychiatry: A systematic literature review. Eur Psychiatry. 2019; 62: 97-106. doi:10.1016/j.eurpsy.2019.09.006; Еремеев А.П., Ивлиев С.А. Разработка базы данных и конвертера для извлечения и анализа специализированных данных, получаемых с медицинского аппарата. Программные продукты и системы. 2019; 3(32): 512-517. doi:10.15827/0236-235X.127.512-517; Zhdanov AE, Dolganov AYu, Kazajkin VN, Ponomarev VO, Lizunov AV, Borisov VI, et al. OculusGraphy: Literature review on electrophysiological research methods in ophthalmology and electroretinograms processing using wavelet transform. 2020 International Conference on e-Health and Bioengineering (EHB). 2020: 1-6, doi:10.1109/EHB50910.2020.9280221; Zhdanov AE, Borisov VI, Dolganov AY, Lucian E, Bao X, Kazaijkin VN. OculusGraphy: Norms for electroretinogram signals. 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials (EDM). 2021: 399-402. doi:10.1109/EDM52169.2021.9507597; Zhdanov AE, Borisov VI, Dolganov AY, Lucian E, Bao X, Kazaijkin VN. OculusGraphy: Filtering of electroretinography response in adults. 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials (EDM). 2021: 395-398. doi:10.1109/EDM52169.2021.9507654; Abbasi H, Bennet L, Gunn AJ, Unsworth ChP. 2D wavelet scalogram training of deep convolutional neural network for automatic identification of micro-scale sharp wave biomarkers in the hypoxic-ischemic EEG of preterm sheep. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2019: 1825-1828. doi:10.1109/EMBC.2019.8857665; https://www.actabiomedica.ru/jour/article/view/3441

  3. 3
    Academic Journal

    المصدر: Ophthalmology in Russia; Том 17, № 4 (2020); 669-675 ; Офтальмология; Том 17, № 4 (2020); 669-675 ; 2500-0845 ; 1816-5095 ; 10.18008/1816-5095-2020-4

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    Relation: https://www.ophthalmojournal.com/opht/article/view/1355/759; Fercher A.F., Hitzenberger C.K., Drexler W., Kamp G., Sattmann, H. In Vivo Optical Coherence Tomography. American Journal of Ophthalmology. 1993;116(1):113– 114. DOI:10.1016/S0002-9394(14)71762-3; Hee M.R. Optical coherence tomography of age-related macular degeneration and choroidal neovascularization. Ophthalmology. 1996;103:1260–1270.; Granit R. The components of the retinal action potential in mammals and their relation to the discharge in the optic nerve. J Physiol. 1933;77:207–239.; Ohno Y. Interlaboratory validation of the in vitro eye irritation tests for cosmetic ingredients. (1) Overview of the validation study and Draize scores for the evaluation of the tests. Toxicology in Vitro. 1999;13(1):73–98.; Казайкин В.Н., Пономарев В.О., Тахчиди Х.П. Современные аспекты лечения острых бактериальных послеоперационных эндофтальмитов. Офтальмология. 2017;14(1):12–17. 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Arch Ophthalmol. 2011;129(1):30–39. DOI:10.1001/archophthalmol.2010.321; Renner A.B., Kellner U., Tillack H., Kraus H., Foerster M.H. Recording of both VEP and multifocal ERG for evaluation of unexplained visual loss. Doc Ophthalmol. 2005;111:149–157. DOI:10.1007/s10633-005-5362-4; Betsuin Y., Mashima Y., Ohde H., Inoue R., Oguchi Y. Clinical application of the multifocal VEPs. Curr Eye Res. 2001;22:54–63. DOI:10.1076/ceyr.22.1.54.6982; Klistorner A., Fraser C., Garrick R., Graham S., Arvind H. Correlation between full-field and multifocal VEPs in optic neuritis. Doc Ophthalmol. 2008;116:19–27. DOI:10.1007/s10633-007-9072-y; Zueva M.V., Tsapenko I.V., Kolosov O.S., Vershinin D.V., Korolenkova V.A., Pronin A.D. Assessment of the Amplitude-Frequency Characteristics of the Retina with Its Stimulation by Flicker and Chess Pattern-Reversed Incentives and their Use to Obtain New Formalized Signs of Retinal Pathologies. 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  4. 4
    Academic Journal

    المصدر: Malignant tumours; Том 8, № 3 (2018); 68-77 ; Злокачественные опухоли; Том 8, № 3 (2018); 68-77 ; 2587-6813 ; 2224-5057

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  5. 5
    Academic Journal

    المصدر: Cancer Urology; Том 12, № 2 (2016); 14-17 ; Онкоурология; Том 12, № 2 (2016); 14-17 ; 1996-1812 ; 1726-9776 ; 10.17650/1726-9776-2016-12-2

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    المصدر: Izvestiya Vysshikh Uchebnykh Zavedenii. Materialy Elektronnoi Tekhniki = Materials of Electronics Engineering; Том 19, № 4 (2016); 271-278 ; Известия высших учебных заведений. Материалы электронной техники; Том 19, № 4 (2016); 271-278 ; 2413-6387 ; 1609-3577 ; 10.17073/1609-3577-2016-4

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    المصدر: Medical Immunology (Russia); Том 13, № 2-3 (2011); 151-156 ; Медицинская иммунология; Том 13, № 2-3 (2011); 151-156 ; 2313-741X ; 1563-0625 ; 10.15789/1563-0625-2011-2-3

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    Academic Journal

    المصدر: Cancer Urology; Том 9, № 3 (2013); 24-29 ; Онкоурология; Том 9, № 3 (2013); 24-29 ; 1996-1812 ; 1726-9776 ; 10.17650/1726-9776-2013-9-3

    وصف الملف: application/pdf

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