Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Hakan DOĞAN"'
Publikováno v:
Diagnostic and Interventional Radiology, Vol 29, Iss 4, Pp 563-570 (2023)
PURPOSETo investigate the relationship between hepatic steatosis (HS), pancreatic steatosis (PS), and coexisting HS and PS and the Coronavirus disease-2019 (COVID-19) pneumonia total severity score (TSS) and prognosis, assessed through computed tomog
Externí odkaz:
https://doaj.org/article/f9ecf52a018648c8a68ff1000ef7b83a
Publikováno v:
Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 11, Iss 2, Pp 511-523 (2023)
Manyeto-Reolojik (MR) sıvı uygun bir manyetik alan ile uyarıldığında, görünür viskozitelerinde çok hızlı ve tersinebilen değişimler elde edilen, akıllı malzemelerin bir türüdür. Manyetik alanın kontrolünün kolay olması, bu sıv
Externí odkaz:
https://doaj.org/article/0bbdecf842b64ec2b038f773373d0212
Autor:
Emre Altinmakas, Omer Faruk Dogru, Umut Yucel, Görkem Ayas, Ayşe Sena Balcı, Munevver Duran, Hakan Doğan, Serageldin Kamel, Parth Patel, Khaled M Elsayes
Publikováno v:
BMC Medical Education, Vol 22, Iss 1, Pp 1-7 (2022)
Abstract Background Radiology education in Turkey is mainly taught during clinical years of medical school and often lacks main principles. Exposure to the fundamentals of radiology at an early stage of medical education may drastically help students
Externí odkaz:
https://doaj.org/article/d782d06cb3044ab2a5cce27e24357978
Autor:
Edward H. Lee, Jimmy Zheng, Errol Colak, Maryam Mohammadzadeh, Golnaz Houshmand, Nicholas Bevins, Felipe Kitamura, Emre Altinmakas, Eduardo Pontes Reis, Jae-Kwang Kim, Chad Klochko, Michelle Han, Sadegh Moradian, Ali Mohammadzadeh, Hashem Sharifian, Hassan Hashemi, Kavous Firouznia, Hossien Ghanaati, Masoumeh Gity, Hakan Doğan, Hojjat Salehinejad, Henrique Alves, Jayne Seekins, Nitamar Abdala, Çetin Atasoy, Hamidreza Pouraliakbar, Majid Maleki, S. Simon Wong, Kristen W. Yeom
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-11 (2021)
Abstract The Coronavirus disease 2019 (COVID-19) presents open questions in how we clinically diagnose and assess disease course. Recently, chest computed tomography (CT) has shown utility for COVID-19 diagnosis. In this study, we developed Deep COVI
Externí odkaz:
https://doaj.org/article/b8cdd6ddc1174a5a86416c48a44db3cc
Publikováno v:
Diagnostic and Interventional Radiology, Vol 26, Iss 4, Pp 323-332 (2020)
Coronavirus disease 2019 (COVID-19) has recently become a worldwide outbreak with several millions of people infected and more than 160.000 deaths. A fast and accurate diagnosis in this outbreak is critical to isolate and treat patients. Radiology pl
Externí odkaz:
https://doaj.org/article/896462d5bf8c43e59c8c4bfaafaa31c1
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2008 (2008)
We propose a joint MAP channel estimation and data detection technique based on the expectation maximization (EM) method with paralel interference cancelation (PIC) for downlink multicarrier (MC) code division multiple access (CDMA) systems in the pr
Externí odkaz:
https://doaj.org/article/dc9ebc26944a4f4fa69181d68fa1395a
Autor:
Hakan DOĞAN, Fatma ÜNYAY AÇIKGÖZ
Publikováno v:
Karadeniz Araştırmaları. :83-109
Osmanlı Devleti’nde camiler ibadet dışında çeşitli fonksiyonları icra eden en önemli kurumların başında gelmektedir. Camilerin yapım, onarım, aydınlatma, ısıtma, bakım vs. ihtiyaçlarının karşılanması ile cami görevlilerinin
Publikováno v:
Geomatik.
Dünyada farklı iklim kuşakları olup Türkiye’nin coğrafi konumundan dolayı bunlardan bir kaçı ülkemizde görülmektedir. Ancak küresel ısınma nedeniyle iklim kuşaklarının bölgelerinde değişikliklerin olduğu tartışıla gelmişti
Examination of Turkish Football Fans' Brand Evangelism (Efangelism) Levels and Intention to Purchase
Publikováno v:
Pakistan Journal of Medical and Health Sciences. 16:453-455
Background: Sport consumers display a different set of values, attitudes and behaviors. Not all football consumers are equally passionate and fanatical. The purpose of this research is to examine the evangelistic attitudes of Turkish football fans to
Autor:
Edward H. Lee, Michelle Han, Jason Wright, Michael Kuwabara, Jacob Mevorach, Gang Fu, Olivia Choudhury, Ujjwal Ratan, Michael Zhang, Matthias W. Wagner, Robert Goetti, Sebastian Toescu, Sebastien Perreault, Hakan Dogan, Emre Altinmakas, Maryam Mohammadzadeh, Kathryn A. Szymanski, Cynthia J. Campen, Hollie Lai, Azam Eghbal, Alireza Radmanesh, Kshitij Mankad, Kristian Aquilina, Mourad Said, Arastoo Vossough, Ozgur Oztekin, Birgit Ertl-Wagner, Tina Poussaint, Eric M. Thompson, Chang Y. Ho, Alok Jaju, John Curran, Vijay Ramaswamy, Samuel H. Cheshier, Gerald A. Grant, S. Simon Wong, Michael E. Moseley, Robert M. Lober, Mattias Wilms, Nils D. Forkert, Nicholas A. Vitanza, Jeffrey H. Miller, Laura M. Prolo, Kristen W. Yeom
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract While multiple factors impact disease, artificial intelligence (AI) studies in medicine often use small, non-diverse patient cohorts due to data sharing and privacy issues. Federated learning (FL) has emerged as a solution, enabling training
Externí odkaz:
https://doaj.org/article/34ebed521a7c4e708c0cd4dc5896d5a1