Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Refik Soyak"'
Autor:
Gastao Cruz, Ebru Navruz, Ilkay Oksuz, Refik Soyak, Devrim Unay, Claudia Prieto, Eda Ozgu Ersoy, Andrew P. King
Publikováno v:
IEEE Transactions on Biomedical Engineering. 69:1398-1405
Magnetic Resonance Fingerprinting (MRF) enables simultaneous mapping of multiple tissue parameters such as T1 and T2 relaxation times. The working principle of MRF relies on varying acquisition parameters pseudo-randomly, so that each tissue generate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a52f89a7d0790f9a5c7786a8f5e9da77
https://doi.org/10.1109/tbme.2021.3116877
https://doi.org/10.1109/tbme.2021.3116877
Publikováno v:
2020 28th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46a88001937907d69826d811050b21c8
https://doi.org/10.1109/siu49456.2020.9302455
https://doi.org/10.1109/siu49456.2020.9302455
Autor:
Devrim Unay, Ozkan Cigdem, Burhan Aydeniz, Cagdas Eker, Kaya Oguz, Hasan Demirel, Refik Soyak, Omer Kitis, Ali Saffet Gonul
Publikováno v:
2019 Medical Technologies Congress (TIPTEKNO).
Three Dimensional magnetic resonance imaging (3D-MRI) has been utilized to classify patients with neuroanatomical abnormalities apart from healthy controls (HCs). The studies on the diagnosis of Bipolar Disorder (BD) focuses also on the unaffected re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed6e4c12d1dac8d5eba086b60868045c
https://doi.org/10.1109/tiptekno.2019.8895015
https://doi.org/10.1109/tiptekno.2019.8895015
Autor:
Ali Saffet Gonul, Kaya Oguz, Refik Soyak, Cagdas Eker, Omer Kitis, Aysu Sulucay, Hasan Demirel, Burhan Aydeniz, Erencan Horuz, Ozkan Cigdem, Devrim Unay
Publikováno v:
2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT).
Three-Dimensional Magnetic Resonance Imaging (3D-MRI) and Computer-Aided Detection (CAD) have been widely studied in the detection and diagnosis of neuroanatomical abnormalities, including bipolar disorder (BD). Pre-processing of 3D-MRI scans plays a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2773c5fea7121a576bfde810159ef60
https://doi.org/10.1109/ebbt.2019.8741586
https://doi.org/10.1109/ebbt.2019.8741586
Autor:
Ali Saffet Gonul, Omer Kitis, Burhan Aydeniz, Hasan Demirel, Devrim Unay, Kaya Oguz, Erencan Horuz, Refik Soyak, Cagdas Eker, Ozkan Cigdem, Aysu Sulucay
Publikováno v:
MeMeA
EgeUn###
Detection of Bipolar Disease (BD), one of the most common neuroanatomical abnormalities, using machine learning algorithms together with Magnetic Resonance Imaging (MRI) data has been widely studied. BD is a highly heritable disease, ye
Detection of Bipolar Disease (BD), one of the most common neuroanatomical abnormalities, using machine learning algorithms together with Magnetic Resonance Imaging (MRI) data has been widely studied. BD is a highly heritable disease, ye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10057d99a8a47fafc9a75e3689bf4c4a
https://hdl.handle.net/11454/15658
https://hdl.handle.net/11454/15658
