Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Adel Zakirov"'
Autor:
Adel Zakirov
Publikováno v:
Submissions to the 2019 Kidney Tumor Segmentation Challenge: KiTS19.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bc1f08420118cb1ceee9e8079504dab
https://doi.org/10.24926/548719.020
https://doi.org/10.24926/548719.020
Publikováno v:
ISBI
We consider the problem of localizing and segmenting individual teeth inside 3D Cone-Beam Computed Tomography (CBCT) images. To handle large image sizes we approach this task with a coarse-to-fine framework, where the whole volume is first analyzed a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::047dcea3b45f981e7fa99a9154b001a9
http://arxiv.org/abs/1810.10293
http://arxiv.org/abs/1810.10293
Autor:
Boris Belozerov, Nikita Bukhanov, Dmitry Egorov, Adel Zakirov, Oksana Osmonalieva, Maria Golitsyna, Alexander Reshytko, Artyom Semenikhin, Evgeny Shindin, Vladimir Lipets
Publikováno v:
Day 1 Mon, October 15, 2018.
This paper is devoted to the testing of of automatic well logs interpretation testing, developed on the basis of machine learning methods. The basis of the method presented in the paper is recurrent artificial neural networks. For their training and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e377bfe6b545ab7c7ad660b1d5930e42
https://doi.org/10.2118/191604-18rptc-ms
https://doi.org/10.2118/191604-18rptc-ms
Autor:
Oksana Taalaevna Osmonalieva, Evgeny Shindin, Alexander Alexandrovich Reshytko, B.V. Belozerov, D. Egorov, Adel Zakirov, Artyom Semenikhin, Maria Golitsyna, N. Bukhanov, Vladimir Lipets
Publikováno v:
SPE Russian Petroleum Technology Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::721de2b1d37f42c6b2ca693075b7a0d9
https://doi.org/10.2118/191604-18rptc-ru
https://doi.org/10.2118/191604-18rptc-ru
Publikováno v:
CIBCB
Storage and processing of biological networks is challenging and costly due to the large sizes of many of these networks. Compression of such graphs is one possible solution to this problem. This study presents two single-objective genetic algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04377690e7857771ff312d472d890132
https://doi.org/10.1109/cibcb.2017.8058564
https://doi.org/10.1109/cibcb.2017.8058564