Zobrazeno 1 - 10
of 14
pro vyhledávání: '"İlkay Öksüz"'
Autor:
Deniz Alis, Toygar Tanyel, Emine Meltem, Mustafa Ege Seker, Delal Seker, Hakkı Muammer Karakaş, Ercan Karaarslan, İlkay Öksüz
Publikováno v:
Diagnostic and Interventional Radiology, Vol 30, Iss 6, Pp 357-365 (2024)
The rapid evolution of artificial intelligence (AI), particularly in deep learning, has significantly impacted radiology, introducing an array of AI solutions for interpretative tasks. This paper provides radiology departments with a practical guide
Externí odkaz:
https://doaj.org/article/be03741b79b24f8bb511d29b51d6162e
Autor:
Kamuran Kadıpaşaoğlu, Levent Çelik, Rahmi Çubuk, İlkay Öksüz, İbrahim Harmankaya, Devrim Ünay
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 27, Iss 2, Pp 122-128 (2021)
Valvular diseases may affect one or more of the cardiac valves, which may need to be replaced or restored for effective treatment. The surgical procedure can be guided by a patient-specific and dynamic model containing information complementary to th
Externí odkaz:
https://doaj.org/article/5cebd067a7bd4cb88d678f3eb16a6413
Publikováno v:
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 29:1157-1170
The lethal infection, World Health Organization (WHO) reported coronavirus (COVID-19) as a pandemic Lack of proper vaccine, low levels of immunity against COVID-19 has led to vulnerability of the human beings Due to lack of efficient vaccine treatmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df30bec86072733a2b3e80b879789f4a
https://doi.org/10.3906/elk-2008-66
https://doi.org/10.3906/elk-2008-66
Autor:
İlkay Öksüz
Publikováno v:
Turkish Studies-Information Technologies and Applied Sciences. 15:361-371
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be22d7b369fb2576715bb44c686138b3
https://doi.org/10.47844/turkishstudies.45551
https://doi.org/10.47844/turkishstudies.45551
Autor:
Gökay Sezen, İlkay Öksüz
Publikováno v:
Predictive Intelligence in Medicine ISBN: 9783031169182
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4ff8008df2c50cfa2d50ebddce60d7c
https://doi.org/10.1007/978-3-031-16919-9_7
https://doi.org/10.1007/978-3-031-16919-9_7
Autor:
Caner Özer, İlkay Öksüz
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030937218
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77719543236ff0a532d10791a04b8b57
https://doi.org/10.1007/978-3-030-93722-5_22
https://doi.org/10.1007/978-3-030-93722-5_22
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783031210136
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85f4255c07d139625421a52edfa658f0
https://doi.org/10.1007/978-3-031-21014-3_44
https://doi.org/10.1007/978-3-031-21014-3_44
Autor:
Ahmet Karagoz, Deniz Alis, Mustafa Ege Seker, Gokberk Zeybel, Mert Yergin, Ilkay Oksuz, Ercan Karaarslan
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Objective To evaluate the effectiveness of a self-adapting deep network, trained on large-scale bi-parametric MRI data, in detecting clinically significant prostate cancer (csPCa) in external multi-center data from men of diverse demographic
Externí odkaz:
https://doaj.org/article/b825d9c511e44c1e94a03423ff5a23f1
Autor:
Omer Bagcilar, Deniz Alis, Ceren Alis, Mustafa Ege Seker, Mert Yergin, Ahmet Ustundag, Emil Hikmet, Alperen Tezcan, Gokhan Polat, Ahmet Tugrul Akkus, Fatih Alper, Murat Velioglu, Omer Yildiz, Hakan Hatem Selcuk, Ilkay Oksuz, Osman Kizilkilic, Ercan Karaarslan
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract The use of deep learning (DL) techniques for automated diagnosis of large vessel occlusion (LVO) and collateral scoring on computed tomography angiography (CTA) is gaining attention. In this study, a state-of-the-art self-configuring object
Externí odkaz:
https://doaj.org/article/1bde78bbbdf84660812bf903593a17c4
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