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pro vyhledávání: '"Yakimovich A"'
Autor:
Yakimovich A
Publikováno v:
Infection and Drug Resistance, Vol Volume 14, Pp 3319-3326 (2021)
Artur Yakimovich Artificial Intelligence for Life Sciences CIC, London, UKCorrespondence: Artur YakimovichArtificial Intelligence for Life Sciences CIC, 9 High Street, London, N8 7FJ, UKEmail ayakimovich@ails.instituteAbstract: The research of intera
Externí odkaz:
https://doaj.org/article/f60e8cb07981402f88e9af9032afda3e
Optic deconvolution in light microscopy (LM) refers to recovering the object details from images, revealing the ground truth of samples. Traditional explicit methods in LM rely on the point spread function (PSF) during image acquisition. Yet, these a
Externí odkaz:
http://arxiv.org/abs/2407.03239
Autor:
della Maggiora, Gabriel, Croquevielle, Luis Alberto, Horsley, Harry, Heinis, Thomas, Yakimovich, Artur
Phase imaging is gaining importance due to its applications in fields like biomedical imaging and material characterization. In biomedical applications, it can provide quantitative information missing in label-free microscopy modalities. One of the m
Externí odkaz:
http://arxiv.org/abs/2406.04388
Autor:
della Maggiora, Gabriel, Croquevielle, Luis Alberto, Deshpande, Nikita, Horsley, Harry, Heinis, Thomas, Yakimovich, Artur
Inverse problems aim to determine parameters from observations, a crucial task in engineering and science. Lately, generative models, especially diffusion models, have gained popularity in this area for their ability to produce realistic solutions an
Externí odkaz:
http://arxiv.org/abs/2312.02246
Autor:
Sharma, Vaibhav, Yakimovich, Artur
In the past decades, automated high-content microscopy demonstrated its ability to deliver large quantities of image-based data powering the versatility of phenotypic drug screening and systems biology applications. However, as the sizes of image-bas
Externí odkaz:
http://arxiv.org/abs/2307.14436
Autor:
Li, Rui, della Maggiora, Gabriel, Andriasyan, Vardan, Petkidis, Anthony, Yushkevich, Artsemi, Kudryashev, Mikhail, Yakimovich, Artur
Light microscopy is a widespread and inexpensive imaging technique facilitating biomedical discovery and diagnostics. However, light diffraction barrier and imperfections in optics limit the level of detail of the acquired images. The details lost ca
Externí odkaz:
http://arxiv.org/abs/2306.02929
Autor:
Volpe, Giovanni, Wählby, Carolina, Tian, Lei, Hecht, Michael, Yakimovich, Artur, Monakhova, Kristina, Waller, Laura, Sbalzarini, Ivo F., Metzler, Christopher A., Xie, Mingyang, Zhang, Kevin, Lenton, Isaac C. D., Rubinsztein-Dunlop, Halina, Brunner, Daniel, Bai, Bijie, Ozcan, Aydogan, Midtvedt, Daniel, Wang, Hao, Sladoje, Nataša, Lindblad, Joakim, Smith, Jason T., Ochoa, Marien, Barroso, Margarida, Intes, Xavier, Qiu, Tong, Yu, Li-Yu, You, Sixian, Liu, Yongtao, Ziatdinov, Maxim A., Kalinin, Sergei V., Sheridan, Arlo, Manor, Uri, Nehme, Elias, Goldenberg, Ofri, Shechtman, Yoav, Moberg, Henrik K., Langhammer, Christoph, Špačková, Barbora, Helgadottir, Saga, Midtvedt, Benjamin, Argun, Aykut, Thalheim, Tobias, Cichos, Frank, Bo, Stefano, Hubatsch, Lars, Pineda, Jesus, Manzo, Carlo, Bachimanchi, Harshith, Selander, Erik, Homs-Corbera, Antoni, Fränzl, Martin, de Haan, Kevin, Rivenson, Yair, Korczak, Zofia, Adiels, Caroline Beck, Mijalkov, Mite, Veréb, Dániel, Chang, Yu-Wei, Pereira, Joana B., Matuszewski, Damian, Kylberg, Gustaf, Sintorn, Ida-Maria, Caicedo, Juan C., Cimini, Beth A, Bell, Muyinatu A. Lediju, Saraiva, Bruno M., Jacquemet, Guillaume, Henriques, Ricardo, Ouyang, Wei, Le, Trang, Gómez-de-Mariscal, Estibaliz, Sage, Daniel, Muñoz-Barrutia, Arrate, Lindqvist, Ebba Josefson, Bergman, Johanna
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasing resolution and throughput. Artificial intelligence, deep neural netw
Externí odkaz:
http://arxiv.org/abs/2303.03793
Publikováno v:
RUDN Journal of Economics, Vol 32, Iss 2, Pp 266-286 (2024)
The study presents a comprehensive analysis of Russia’s role in the global construction services market, highlights historical and modern aspects of the market, identifies key factors influencing the current position of Russia, and identifies the m
Externí odkaz:
https://doaj.org/article/6368aef4c50b4e9b968da7acc7bb3f8b
A clinical microscopy dataset to develop a deep learning diagnostic test for urinary tract infection
Autor:
Natasha Liou, Trina De, Adrian Urbanski, Catherine Chieng, Qingyang Kong, Anna L. David, Rajvinder Khasriya, Artur Yakimovich, Harry Horsley
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract Urinary tract infection (UTI) is a common disorder. Its diagnosis can be made by microscopic examination of voided urine for markers of infection. This manual technique is technically difficult, time-consuming and prone to inter-observer err
Externí odkaz:
https://doaj.org/article/12fcb05bf0e145c7ac2a1f7fe61683c2
Autor:
Vaibhav Sharma, Artur Yakimovich
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-8 (2024)
Abstract High-content image-based screening is widely used in Drug Discovery and Systems Biology. However, sample preparation artefacts may significantly deteriorate the quality of image-based screening assays. While detection and circumvention of su
Externí odkaz:
https://doaj.org/article/a138d3552bc74cdeaa1cb1f366e6be91