Zobrazeno 1 - 10
of 2 032
pro vyhledávání: '"Bayrakdar, A."'
Autor:
Oğuzhan Altun, Duygu Çelik Özen, Şuayip Burak Duman, Numan Dedeoğlu, İbrahim Şevki Bayrakdar, Gözde Eşer, Özer Çelik, Muhammed Akif Sümbüllü, Ali Zakir Syed
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background Maxillofacial complex automated segmentation could alternative traditional segmentation methods to increase the effectiveness of virtual workloads. The use of DL systems in the detection of maxillary sinus and pathologies will bot
Externí odkaz:
https://doaj.org/article/63d90640b3f648b4acd19e07a7a1f500
Autor:
Ayça Kurt, Dilara Nil Günaçar, Fatma Yanık Şılbır, Zeynep Yeşil, İbrahim Şevki Bayrakdar, Özer Çelik, Elif Bilgir, Kaan Orhan
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background This study aims to evaluate the performance of a deep learning system for the evaluation of tooth development stages on images obtained from panoramic radiographs from child patients. Methods The study collected a total of 1500 im
Externí odkaz:
https://doaj.org/article/1848ea4494f24be89e4055ea55193318
Autor:
Busra Beser, Tugba Reis, Merve Nur Berber, Edanur Topaloglu, Esra Gungor, Münevver Coruh Kılıc, Sacide Duman, Özer Çelik, Alican Kuran, Ibrahim Sevki Bayrakdar
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Objectives In the interpretation of panoramic radiographs (PRs), the identification and numbering of teeth is an important part of the correct diagnosis. This study evaluates the effectiveness of YOLO-v5 in the automatic detection, segmentat
Externí odkaz:
https://doaj.org/article/1dfb768d52924928ae40ea86d4878a4e
Autor:
Zehra Beycioglu, Buket Acar, Mert Ocak, Ibrahim Sevki Bayrakdar, Guliz N. Guncu, Abdullah C. Akman
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background The purpose of this study was to investigate the morphology of maxillary first premolar mesial root concavity and to analyse its relation to periodontal bone loss (BL) using cone beam computed tomography (CBCT) and panoramic radio
Externí odkaz:
https://doaj.org/article/170366514e0d4613b4c1564b9b35a332
Autor:
Mustafa Cengiz, Bahri Gür, Fatma Gür, Varol Şahintürk, Alpaslan Bayrakdar, Ilknur Kulcanay Şahin, Sıla Appak Başkoy, Namık Bilici, Suzan Onur, Yağmur Kaya, İsa Kıran, Özge Yıldırım, Nur Banu Akkaya, Canan Vejselova Sezer, Adnan Ayhanci
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38713- (2024)
Cyclophosphamide (CP) is an alkylating anticancer drug with broad clinical application that is highly effective in the treatment of cancer and non-malignant diseases. However, the main limiting effect of CP is multi-organ toxicity due to damage to no
Externí odkaz:
https://doaj.org/article/f9afaf88345c4c2cbfb1be3c1ef524d6
Autor:
Nilgün AKGÜL, Cemile YILMAZ, Elif BILGIR, Özer ÇELIK, Oğuzhan BAYDAR, İbrahim Şevki BAYRAKDAR
Publikováno v:
Brazilian Oral Research, Vol 38 (2024)
Abstract Dental fillings, frequently used in dentistry to address various dental tissue issues, may pose problems when not aligned with the anatomical contours and physiology of dental and periodontal tissues. Our study aims to detect the prevalence
Externí odkaz:
https://doaj.org/article/03fe41850df84b99b476661e43a65af7
Autor:
Sevda Kurt-Bayrakdar, İbrahim Şevki Bayrakdar, Muhammet Burak Yavuz, Nichal Sali, Özer Çelik, Oğuz Köse, Bilge Cansu Uzun Saylan, Batuhan Kuleli, Rohan Jagtap, Kaan Orhan
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background This retrospective study aimed to develop a deep learning algorithm for the interpretation of panoramic radiographs and to examine the performance of this algorithm in the detection of periodontal bone losses and bone loss pattern
Externí odkaz:
https://doaj.org/article/d2ab7881ae44451cad7cf9ff73860477
Autor:
Pelin Senem Ozsunkar, Duygu Çelİk Özen, Ahmed Z Abdelkarim, Sacide Duman, Mehmet Uğurlu, Mehmet Rıdvan Demİr, Batuhan Kuleli, Özer Çelİk, Busra Seda Imamoglu, Ibrahim Sevki Bayrakdar, Suayip Burak Duman
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Deep learning model trained on a large image dataset, can be used to detect and discriminate targets with similar but not identical appearances. The aim of this study is to evaluate the post-training performance of the CNN-based Y
Externí odkaz:
https://doaj.org/article/d81690ea29474ab9a5a5c20b9e4cbb55
Publikováno v:
Research in Sports Science, Vol 14, Iss 1, Pp 1-6 (2024)
The aim of this study was to investigate the effect of plyometric training on vertical jump performance in tennis athletes. The research group of the study consisted of 25 volunteer tennis athletes between the ages of 12–17. The average age of the
Externí odkaz:
https://doaj.org/article/062af074d7d0433b9b84e784dbc02b55
Autor:
Cengiz, Mustafa, Gür, Bahri, Gür, Fatma, Şahintürk, Varol, Bayrakdar, Alpaslan, Şahin, Ilknur Kulcanay, Başkoy, Sıla Appak, Bilici, Namık, Onur, Suzan, Kaya, Yağmur, Kıran, İsa, Yıldırım, Özge, Akkaya, Nur Banu, Sezer, Canan Vejselova, Ayhanci, Adnan
Publikováno v:
In Heliyon 15 October 2024 10(19)