Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Mikhail Ronkin"'
Autor:
Mikhail Kulyabin, Aleksei Zhdanov, Anastasia Nikiforova, Andrey Stepichev, Anna Kuznetsova, Mikhail Ronkin, Vasilii Borisov, Alexander Bogachev, Sergey Korotkich, Paul A. Constable, Andreas Maier
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of
Externí odkaz:
https://doaj.org/article/0f7c054c7a7847dc81b3b0758fa57e77
Autor:
Mikhail Kulyabin, Aleksei Zhdanov, Andrey Pershin, Gleb Sokolov, Anastasia Nikiforova, Mikhail Ronkin, Vasilii Borisov, Andreas Maier
Publikováno v:
Bioengineering, Vol 11, Iss 9, p 940 (2024)
Optical coherence tomography (OCT) is a non-invasive imaging technique widely used in ophthalmology for visualizing retinal layers, aiding in the early detection and monitoring of retinal diseases. OCT is useful for detecting diseases such as age-rel
Externí odkaz:
https://doaj.org/article/8200b5d1399347398dbae7d932407090
Autor:
Faisal Albasu, Mikhail Kulyabin, Aleksei Zhdanov, Anton Dolganov, Mikhail Ronkin, Vasilii Borisov, Leonid Dorosinsky, Paul A. Constable, Mohammed A. Al-masni, Andreas Maier
Publikováno v:
Bioengineering, Vol 11, Iss 9, p 866 (2024)
Electroretinography (ERG) is a non-invasive method of assessing retinal function by recording the retina’s response to a brief flash of light. This study focused on optimizing the ERG waveform signal classification by utilizing Short-Time Fourier T
Externí odkaz:
https://doaj.org/article/d5c44b54cf0f46e59ab3442a27b1ad20
Autor:
Mikhail Kulyabin, Aleksei Zhdanov, Anton Dolganov, Mikhail Ronkin, Vasilii Borisov, Andreas Maier
Publikováno v:
Sensors, Vol 23, Iss 21, p 8727 (2023)
The electroretinogram (ERG) is a clinical test that records the retina’s electrical response to light. Analysis of the ERG signal offers a promising way to study different retinal diseases and disorders. Machine learning-based methods are expected
Externí odkaz:
https://doaj.org/article/c90c4220bfdd44cbb351516abfb76374
Autor:
Mikhail Ronkin, Dima Bykhovsky
Publikováno v:
Sensors, Vol 23, Iss 1, p 533 (2023)
One possible device authentication method is based on device fingerprints, such as software- or hardware-based unique characteristics. In this paper, we propose a fingerprinting technique based on passive externally measured information, i.e., curren
Externí odkaz:
https://doaj.org/article/c1f348ca039f4ea897fb34b11d0a4779
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12365 (2022)
The electroretinography (ERG) is a diagnostic test that measures the electrical activity of the retina in response to a light stimulus. The current ERG signal analysis uses four components, namely amplitude, and the latency of a-wave and b-wave. Nowa
Externí odkaz:
https://doaj.org/article/3ac52e6da2e94116845388771201a57a
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10532 (2021)
The paper discusses the results of the research and development of an innovative deep learning-based computer vision system for the fully automatic asbestos content (productivity) estimation in rock chunk (stone) veins in an open pit and within the t
Externí odkaz:
https://doaj.org/article/43a306127d5a434ea9de8243c36fd8d2
A clinical case of atypical endophthalmitis in an 82-year-old patient who underwent complicated cataract phacoemulsification. Clinical manifestations showed signs of a bacterial process, however, the treatment was not effective. Antifungal therapy ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2dc14decf31f1d1013c93b1d32184fe
https://doi.org/10.20944/preprints202305.0332.v1
https://doi.org/10.20944/preprints202305.0332.v1
Publikováno v:
2022 Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::276edb1519ed5f32d2fa046425898ae2
https://doi.org/10.1109/usbereit56278.2022.9923353
https://doi.org/10.1109/usbereit56278.2022.9923353
Autor:
Mikhail Ronkin, Dima Bykhovsky
Publikováno v:
2022 45th International Conference on Telecommunications and Signal Processing (TSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a6255754e571c25ef1a12b41b34f491
https://doi.org/10.1109/tsp55681.2022.9851296
https://doi.org/10.1109/tsp55681.2022.9851296