Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Mustafa Alper Selver"'
Publikováno v:
IEEE Access, Vol 11, Pp 144349-144363 (2023)
Magnetic Resonance Imaging (MRI) is an exceptional diagnostic tool known for its ability to provide superior soft tissue contrast. Despite its proven efficacy, traditional MRI methods have some inherent limitations, including relatively longer scan t
Externí odkaz:
https://doaj.org/article/d7e41dda7d6b4f11b41e3c6a6229d111
Publikováno v:
Sensors, Vol 23, Iss 7, p 3382 (2023)
One of the emerging fields in functional magnetic resonance imaging (fMRI) is the decoding of different stimulations. The underlying idea is to reveal the hidden representative signal patterns of various fMRI tasks for achieving high task-classificat
Externí odkaz:
https://doaj.org/article/af05ea2ae6084602a7870b5ea597d123
Autor:
Batuhan Cakmak, Sevket Yeniyol, Eda Secil Gonen, Ekin Yaman, Hatice Beyza Arici, Ramazan Faruk Celikel, Mustafa Alper Selver, Ozlem Barut Selver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb5de4571fe545746a9f146c6c6e9e3a
https://avesis.deu.edu.tr/publication/details/fbe26a95-c0ae-41b0-9e0a-bebbe806d2a0/oai
https://avesis.deu.edu.tr/publication/details/fbe26a95-c0ae-41b0-9e0a-bebbe806d2a0/oai
Autor:
Erdoğan Aldemir, Osvaldo Arturo Tapia Dueñas, Ali Emre Kavur, Gulay Tohumoglu, Hermilo Sánchez-Cruz, Mustafa Alper Selver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87af8c68ae1dfd3e335ad91b70fa6808
https://avesis.deu.edu.tr/publication/details/f0ca2284-e103-425e-9e12-c0b804c5dede/oai
https://avesis.deu.edu.tr/publication/details/f0ca2284-e103-425e-9e12-c0b804c5dede/oai
Publikováno v:
Convolutional Neural Networks for Medical Image Processing Applications ISBN: 9781003215141
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5e751ca078bd4ac248fcaaa207fd3f5
https://doi.org/10.1201/9781003215141-7
https://doi.org/10.1201/9781003215141-7
Classification of objects from scattered electromagnetic waves is a difficult problem, as it heavily depends on aspect angle. To minimize this dependency, distinguishable features can be used. In this paper, we propose a target identification method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e4676bb45e518865e6dd810a2a4d19c
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978194458&doi=10.1109/TAP.2016.2567438&partnerID=40&md5=28e0e111907cca18b638e1b2c9f564bb
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978194458&doi=10.1109/TAP.2016.2567438&partnerID=40&md5=28e0e111907cca18b638e1b2c9f564bb
Publikováno v:
Insights into Imaging. 12/21/2023, Vol. 14 Issue 1, p1-275. 275p.
Autor:
Bişkin, Osman Tayfun1 (AUTHOR), Candemir, Cemre2,3 (AUTHOR) cemre.candemir@ege.edu.tr, Gonul, Ali Saffet3,4 (AUTHOR), Selver, Mustafa Alper5 (AUTHOR)
Publikováno v:
Sensors (14248220). Apr2023, Vol. 23 Issue 7, p3382. 16p.
Publikováno v:
Insights into Imaging. 6/13/2021 Suppl. 2, Vol. 12, p1-332. 332p.
Publikováno v:
IEEE Transactions on Antennas & Propagation; Jul2016 Part 2, Vol. 64 Issue 7b, p3120-3129, 10p