Suayip Burak Duman
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Explore the profile of Suayip Burak Duman including associated specialties, affiliations and a list of published articles.
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29
Citations
120
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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.
Gumussoy I, Duman S, Miloglu O, Demirsoy M, Dogan A, Abdelkarim A, et al.
Diagnostics (Basel)
. 2024 Dec;
14(23).
PMID: 39682596
Objectives: Since the formation of skeletal malocclusions is closely linked to general craniofacial development, it is crucial to understand the anatomy and growth patterns of the skull base. This study...
3.
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...
4.
Abdelkarim A, Almeshari A, Celik Ozen D, Khalifa A, Rezallah N, Duman S, et al.
Healthcare (Basel)
. 2024 Aug;
12(16).
PMID: 39201121
Background: Morphological differences in the temporomandibular joint (TMJ) are crucial for the treatment of patients with cleft lip and palate (CLP). This study aims to evaluate and compare the TMJ...
5.
Ozsunkar P, Celik Ozen D, Abdelkarim A, Duman S, Ugurlu M, DemIr M, et al.
BMC Oral Health
. 2024 Apr;
24(1):490.
PMID: 38658959
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...
6.
Duman S, Celik Ozen D, Bayrakdar I, Baydar O, Alhaija E, Helvacioglu Yigit D, et al.
Odontology
. 2023 Nov;
112(2):552-561.
PMID: 37907818
The objective of this study is to use a deep-learning model based on CNN architecture to detect the second mesiobuccal (MB2) canals, which are seen as a variation in maxillary...
7.
Temiz M, Celik Ozen D, Duman S, Bayrakdar I, Kazan O, Jagtap R, et al.
Sci Prog
. 2023 Jun;
106(2):368504231178382.
PMID: 37262004
Objectives: This study aimed to determine mastoid emissary canal's (MEC) and mastoid foramen (MF) prevalence and morphometric characteristics on cone-beam computed tomography (CBCT) images to underline its clinical significance and...
8.
Eser G, Duman S, Bayrakdar I, Celik O
J Oral Rehabil
. 2023 May;
50(9):758-766.
PMID: 37186400
Background: The use of artificial intelligence has many advantages, especially in the field of oral and maxillofacial radiology. Early diagnosis of temporomandibular joint osteoarthritis by artificial intelligence may improve prognosis....
9.
Temiz M, Duman S, Abdelkarim A, Bayrakdar I, Syed A, Eser G, et al.
Sci Prog
. 2023 Mar;
106(1):368504231157146.
PMID: 36855800
Objective: This study aimed to examine the morphological characteristics of the nasopharynx in unilateral Cleft lip/palate (CL/P) children and non-cleft children using cone beam computed tomography (CBCT). Methods: A retrospective...
10.
Dayi B, Uzen H, Cicek I, Duman S
Diagnostics (Basel)
. 2023 Jan;
13(2).
PMID: 36673010
The study aims to evaluate the diagnostic performance of an artificial intelligence system based on deep learning for the segmentation of occlusal, proximal and cervical caries lesions on panoramic radiographs....