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Matvey Ezhov

Observed names: Ezhov, Matvey, M. Ezhov
ORCID: 0000-0002-4651-0634
Observed ORCID: 0000-0002-4651-0634
OpenAlex ID: A5083560080
Evaluation of artificial intelligence for detecting periapical pathosis on cone‐beam computed tomography scans
2020 · K. Orhan, I. S. Bayrakdar, et al. · International Endodontic Journal · 376
A deep learning approach for dental implant planning in cone-beam computed tomography images
2021 · Sevda Kurt Bayrakdar, Kaan Orhan, et al. · BMC Medical Imaging · 260
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Clinically applicable artificial intelligence system for dental diagnosis with CBCT
2021 · Matvey Ezhov, Maxim Gusarev, et al. · Scientific Reports · 212
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Evaluation of artificial intelligence for detecting impacted third molars on cone-beam computed tomography scans
2020 · Kaan Orhan, Elif Bilgir, et al. · Journal of Stomatology Oral and Maxillofacial Surgery · 111
Validation of artificial intelligence application for dental caries diagnosis on intraoral bitewing and periapical radiographs
2024 · Viktor Szabó, Bence Tamás Szabó, et al. · Journal of Dentistry · 70
Determining the reliability of diagnosis and treatment using artificial intelligence software with panoramic radiographs
2023 · Kaan Orhan, Ceren Aktuna Belgin, et al. · Imaging Science in Dentistry · 68
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AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients
2022 · Kaan Orhan, Mamat Shamshiev, et al. · Scientific Reports · 67
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Deep Learning-Based Periapical Lesion Detection on Panoramic Radiographs
2025 · Viktor Szabó, Kaan Orhan, et al. · Diagnostics · 41
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Development and validation of an artificial intelligence software for periodontal bone loss in panoramic imaging
2023 · Hakan Amasya, Prashant Prakash Jaju, et al. · International Journal of Imaging Systems and Technology · 39
Coarse-to-fine volumetric segmentation of teeth in cone-beam ct
2019 · Matvey Ezhov, Adel Zakirov, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 33
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Evaluation of a Decision Support System Developed with Deep Learning Approach for Detecting Dental Caries with Cone-Beam Computed Tomography Imaging
2023 · Hakan Amasya, Mustafa Alkhader, et al. · Diagnostics · 32
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Dental pathology detection in 3D cone-beam CT
2018 · Zakirov, Adel, Ezhov, Matvey, et al. · arXiv (Cornell University) · 18
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Assessing the reliability of CBCT-based AI-generated STL files in diagnosing osseous changes of the mandibular condyle: a comparative study with ground truth diagnosis
2023 · Kaan Orhan, Alex Sanders, et al. · Dentomaxillofacial Radiology · 16
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A Deep Learning Approach For Dental Implant Planning On Cone-Beam Computed Tomography Images
2021 · Sevda Kurt Bayrakdar, Kaan Orhan, et al. · Research Square · 12
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Author Correction: Clinically applicable artificial intelligence system for dental diagnosis with CBCT
2021 · Matvey Ezhov, Maxim Gusarev, et al. · Scientific Reports · 9
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End-to-end dental pathology detection in 3D cone-beam computed tomography images
2018 · Adel Zakirov, Matvey Ezhov, et al. · 5
Comparison of linear and angular cephalometric measurements in CBCT using semi-automated software and artificial intelligence-generated cephalograms
2026 · Kaan Orhan, Ismet Ersalıcı, et al. · BMC Oral Health
Works count: 17
Citation count: 1,369
H-index: 13
I10-index: 14
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