Ozer Celik
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Explore the profile of Ozer Celik including associated specialties, affiliations and a list of published articles.
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54
Citations
309
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Recent Articles
1.
Haylaz E, Gumussoy I, Duman S, Kalabalik F, Eren M, Demirsoy M, et al.
J Clin Med
. 2025 Feb;
14(3).
PMID: 39941449
There are various challenges in the segmentation of anatomical structures with artificial intelligence due to the different structural features of the relevant region/tissue. The aim of this study was to...
2.
Kurt-Bayrakdar S, Bayrakdar I, Kuran A, Celik O, Orhan K, Jagtap R
Dentomaxillofac Radiol
. 2025 Feb;
PMID: 39908459
Objectives: The current study aimed to automatically detect tooth presence, tooth numbering, and types of periodontal bone defects from CBCT images using a segmentation method with an advanced artificial intelligence...
3.
Sungur M, Aykac A, Aydin M, Celik O, Kaya C
J Clin Med
. 2025 Jan;
14(1.
PMID: 39797267
To establish a machine learning (ML) model for predicting prostate biopsy outcomes using prostate-specific antigen (PSA) values, multiparametric magnetic resonance imaging (mpMRI) findings, and hematologic parameters. The medical records of...
4.
Kaya Y, Butun Z, Celik O, Salik E, Tahta T
J Clin Med
. 2025 Jan;
14(1.
PMID: 39797241
: This study was aimed to identify the most effective machine learning (ML) algorithm for predicting preeclampsia based on sociodemographic and obstetric factors during the preconception period. : Data from...
5.
Gonca M, Bayrakdar I, Celik O
BMC Med Imaging
. 2024 Oct;
24(1):294.
PMID: 39478475
Background: We explored whether the feature aggregation and refinement network (FARNet) algorithm accurately identified posteroanterior (PA) cephalometric landmarks. Methods: We identified 47 landmarks on 1,431 PA cephalograms of which 1,177...
6.
Ayyildiz H, Orhan M, Bilgir E, Celik O, Bayrakdar I
Clin Oral Investig
. 2024 Oct;
28(11):610.
PMID: 39448462
Objectives: Accurately identification and tooth numbering on radiographs is essential for any clinicians. The aim of the present study was to validate the hypothesis that Yolov5, a type of artificial...
7.
Altun O, Celik Ozen D, Duman S, Dedeoglu N, Bayrakdar I, Eser G, et al.
BMC Oral Health
. 2024 Oct;
24(1):1208.
PMID: 39390490
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...
8.
Akgul N, Yilmaz C, Bilgir E, Celik O, Baydar O, Bayrakdar I
Braz Oral Res
. 2024 Oct;
38:e098.
PMID: 39356905
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...
9.
Kurt A, Gunacar D, Silbir F, Yesil Z, Bayrakdar I, Celik O, et al.
BMC Oral Health
. 2024 Sep;
24(1):1034.
PMID: 39227802
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:...
10.
Kaya Y, Butun Z, Celik O, Salik E, Tahta T, Yavuz A
BMC Pregnancy Childbirth
. 2024 Aug;
24(1):574.
PMID: 39217284
Background: We aimed to determine the best-performing machine learning (ML)-based algorithm for predicting gestational diabetes mellitus (GDM) with sociodemographic and obstetrics features in the pre-conceptional period. Methods: We collected the...