Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Bair Tuchinov"'
Autor:
Sergey Pnev, Vladimir Groza, Bair Tuchinov, Evgeniya Amelina, Evgeniy Pavlovskiy, Nikolay Tolstokulakov, Mihail Amelin, Sergey Golushko, Andrey Letyagin
Publikováno v:
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).
Autor:
Sergey Pnev, Vladimir Groza, Bair Tuchinov, Evgeniya Amelina, Evgeniy Pavlovskiy, Nikolay Tolstokulakov, Mihail Amelin, Sergey Golushko, Andrey Letyagin
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783031090011
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::088c467bcc8bcb1438052ee314cc8138
https://doi.org/10.1007/978-3-031-09002-8_24
https://doi.org/10.1007/978-3-031-09002-8_24
Autor:
Nikolay Tolstokulakov, Bair Tuchinov, Sergey Golushko, Mikhail Amelin, Evgeniy N. Pavlovskiy, Vladimir Groza, Andrey Letyagin, E. V. Amelina
Publikováno v:
2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB).
Neuro-oncological MRI imaging is a complex, expensive procedure that is responsible for all further treatment tactics. The following issues must be unambiguously resolved: (1) to detect a volumetric process in the brain (e.g., tumor); (2) to outline
Autor:
Mikhail Amelin, Nikolay Tolstokulakov, Vladimir Groza, E. V. Amelina, Bair Tuchinov, Andrey Letyagin, Evgeniy N. Pavlovskiy, Sergey Golushko
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030720865
BrainLes@MICCAI (2)
BrainLes@MICCAI (2)
The brain tumor segmentation is one of the crucial tasks nowadays among other directions and domains where daily clinical workflow requires to put a lot of efforts while studying computer tomography (CT) or structural magnetic resonance imaging (MRI)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63905ecaeb7c857fe2433119c2a6aef4
https://doi.org/10.1007/978-3-030-72087-2_13
https://doi.org/10.1007/978-3-030-72087-2_13
Autor:
Sergey Berezin, Alexey Pauls, Yuliya Rubtsova, Tatiana Batura, Ivan Bondarenko, Bair Tuchinov
Publikováno v:
2020 Science and Artificial Intelligence conference (S.A.I.ence).
This paper presents new methods for entity recognition and relation extraction tasks on partially labeled and unlabeled datasets. The proposed methods are based on techniques of semi-supervised, unsupervised and the transfer learning. We use the few-
Autor:
E. V. Amelina, Evgeniy N. Pavlovskiy, Andrey Letyagin, Vladimir Groza, Bair Tuchinov, Nikolay Tolstokulakov, Sergey Golushko, Mikhail Amelin
Publikováno v:
2020 Cognitive Sciences, Genomics and Bioinformatics (CSGB).
In this paper, we extend the previous work on the robust pre-processing technique which allows to consider all available information from MRI scans by composition of T1, T1C and FLAIR sequences in the unique input. Such approach enriches the input da
Autor:
Sergey Golushko, Evgeniy N. Pavlovskiy, E. V. Amelina, Nikolay Tolstokulakov, Vladimir Groza, Bair Tuchinov, Mikhail Amelin, Andrey Letyagin
Publikováno v:
ISBI Workshops
Magnetic resonance imaging (MRI) stays one of the most essential noninvasive methods for brain diagnostics. It allows obtaining the detailed 3D image of the brain, including various types of soft tissues. In this paper, we compare the influence of th
Autor:
Evgeniy N. Pavlovskiy, Vladimir Groza, Andrey Letyagin, Sergey Golushko, E. V. Amelina, Bair Tuchinov, Mihail E. Amelin
Publikováno v:
Bioinformatics and Biomedical Engineering ISBN: 9783030453848
IWBBIO
IWBBIO
Automatic brain tumor segmentation is one of the crucial problems nowadays among other directions and domains where daily clinical workflow requires to put a lot of efforts while studying computer tomography (CT) or structural magnetic resonance imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b07e261c6947397619af92b7266fc79d
https://doi.org/10.1007/978-3-030-45385-5_62
https://doi.org/10.1007/978-3-030-45385-5_62
Autor:
Ekaterina G. Bulgakova, E. V. Amelina, Jamil A. Rzaev, Liana O. Degtyareva, Sergey Golushko, Galina I. Moisak, Andrey Letyagin, Evgeniy N. Pavlovsky, Bair Tuchinov, Mihail E. Amelin
Publikováno v:
2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).
Improving the accuracy and timeliness of medical imaging in everyday clinical neurosurgery practice is an urgent problem for the health care of all countries. This problem will be solved with the help of artificial intelligence (AI). By performing th