Publications

Journal articles indexed in SCI, SSCI, and AHCI

Evaluation of Respiratory Conditions in Individuals Undergoing Rapid Maxillary Expansion: A Computational Fluid Dynamics Study

Alan A., UĞURLU M., BAYRAKDAR İ. Ş., GÖNÜLDAŞ F., de Castro Lopes S. L. P., Ferreira Costa A. L., et al.

Diagnostics, vol.15, no.5, 2025 (SCI-Expanded)

Deep Learning-Based Periapical Lesion Detection on Panoramic Radiographs

Szabó V., ORHAN K., Dobó-Nagy C., Veres D. S., Manulis D., Ezhov M., et al.

Diagnostics, vol.15, no.4, 2025 (SCI-Expanded)

Segmentation of the nasopalatine canal and detection of canal furcation status with artificial intelligence on cone-beam computed tomography images

Deniz H. A., BAYRAKDAR İ. Ş., NALÇACI R., ORHAN K.

Oral Radiology, 2025 (SCI-Expanded)

Segmentation of periapical lesions with automatic deep learning on panoramic radiographs: an artificial intelligence study

Boztuna M., Firincioglulari M., Akkaya N., ORHAN K.

BMC Oral Health, vol.24, no.1, 2024 (SCI-Expanded)

Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm

KURT A., GÜNAÇAR D. N., Şılbır F. Y., Yeşil Z., BAYRAKDAR İ. Ş., ÇELİK Ö., et al.

BMC Oral Health, vol.24, no.1, 2024 (SCI-Expanded)

Prediction of bone invasion of oral squamous cell carcinoma using a magnetic resonance imaging-based machine learning model

Ozturk E. M. A., Unsal G., Erisir F., ORHAN K.

EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY, vol.281, no.12, pp.6585-6597, 2024 (SCI-Expanded)

A deep learning approach to detection of oral cancer lesions from intra oral patient images: A preliminary retrospective study

KESER G., NAMDAR PEKİNER F. M., BAYRAKDAR İ. Ş., ÇELİK Ö., ORHAN K.

Journal of Stomatology, Oral and Maxillofacial Surgery, vol.125, no.5, 2024 (SCI-Expanded)

Progress of Artificial Intelligence-Driven Solutions for Automated Segmentation of Dental Pulp Space on Cone-Beam Computed Tomography Images. A Systematic Review

Alfadley A., Shujaat S., Jamleh A., Riaz M., Aboalela A. A., Ma H., et al.

Journal of Endodontics, vol.50, no.9, pp.1221-1232, 2024 (SCI-Expanded)

Validation of artificial intelligence application for dental caries diagnosis on intraoral bitewing and periapical radiographs

Szabó V., Szabo B. T., ORHAN K., Veres D. S., Manulis D., Ezhov M., et al.

Journal of Dentistry, vol.147, 2024 (SCI-Expanded)

Automatic deep learning detection of overhanging restorations in bitewing radiographs

MAĞAT G., Altindag A., Hatipoglu F. P., HATİPOĞLU Ö., BAYRAKDAR İ. Ş., ÇELİK Ö., et al.

DENTOMAXILLOFACIAL RADIOLOGY, 2024 (SCI-Expanded)

Accuracy of Artificial Intelligence for Cervical Vertebral Maturation Assessment-A Systematic Review

Kazimierczak W., Jedlinski M., Issa J., Kazimierczak N., Janiszewska-Olszowska J., Dyszkiewicz-Konwinska M., et al.

JOURNAL OF CLINICAL MEDICINE, vol.13, no.14, 2024 (SCI-Expanded)

A Deep Learning Approach to Automatic Tooth Caries Segmentation in Panoramic Radiographs of Children in Primary Dentition, Mixed Dentition, and Permanent Dentition

AŞÇI E., Kilic M., ÇELİK Ö., Cantekin K., Bircan H. B., BAYRAKDAR İ. Ş., et al.

CHILDREN-BASEL, vol.11, no.6, 2024 (SCI-Expanded)

Tooth numbering and classification on bitewing radiographs: an artificial intelligence pilot study

Altındağ A., Bahrilli S., ÇELİK Ö., BAYRAKDAR İ. Ş., ORHAN K.

Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology, vol.137, no.6, pp.679-689, 2024 (SCI-Expanded)

The Detection of Pulp Stones with Automatic Deep Learning in Panoramic Radiographies: An AI Pilot Study †

Altındağ A., Bahrilli S., ÇELİK Ö., BAYRAKDAR İ. Ş., ORHAN K.

Diagnostics, vol.14, no.9, 2024 (SCI-Expanded)

Second mesiobuccal canal segmentation with YOLOv5 architecture using cone beam computed tomography images

DUMAN Ş. B., ÇELİK ÖZEN D., BAYRAKDAR İ. Ş., Baydar O., Alhaija E. S. A., Helvacioğlu Yiğit D., et al.

Odontology, vol.112, no.2, pp.552-561, 2024 (SCI-Expanded)

Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images.

Bayrakdar I. S., Elfayome N. S., Hussien R. A., Gulsen I. T., Kuran A., Gunes I., et al.

Dento maxillo facial radiology, 2024 (SCI-Expanded)

Prediction of extraction difficulty for impacted maxillary third molars with deep learning approach.

Torul D., Akpinar H., Bayrakdar I. S., Celik O., Orhan K.

Journal of stomatology, oral and maxillofacial surgery, pp.101817, 2024 (SCI-Expanded)

Using artificial intelligence models to evaluate envisaged points initially: A pilot study

AMASYA H., AYDOĞAN T., Cesur E., Kemaloglu Alagoz N., UĞURLU M., BAYRAKDAR İ. Ş., et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE, vol.237, no.6, pp.706-718, 2023 (SCI-Expanded)

Assessing the Effectiveness of Artificial Intelligence Models for Detecting Alveolar Bone Loss in Periodontal Disease: A Panoramic Radiograph Study

UZUN SAYLAN B. C., Baydar O., YEŞİLOVA E., KURT BAYRAKDAR S., BİLGİR E., BAYRAKDAR İ. Ş., et al.

Diagnostics, vol.13, no.10, 2023 (SCI-Expanded)

Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images

ÖNDER M., EVLİ C., Türk E., KAZAN O., BAYRAKDAR İ. Ş., ÇELİK Ö., et al.

Diagnostics, vol.13, no.4, 2023 (SCI-Expanded)

A deep learning algorithm for classification of oral lichen planus lesions from photographic images: A retrospective study

KESER G., BAYRAKDAR İ. Ş., NAMDAR PEKİNER F. M., ÇELİK Ö., ORHAN K.

Journal of Stomatology, Oral and Maxillofacial Surgery, vol.124, no.1, 2023 (SCI-Expanded)

Detecting the presence of taurodont teeth on panoramic radiographs using a deep learning-based convolutional neural network algorithm

Duman S., Yilmaz E. F., EŞER G., ÇELİK Ö., BAYRAKDAR İ. Ş., BİLGİR E., et al.

ORAL RADIOLOGY, vol.39, no.1, pp.207-214, 2023 (SCI-Expanded)

Deep-learning approach for caries detection and segmentation on dental bitewing radiographs

BAYRAKDAR İ. Ş., ORHAN K., Akarsu S., ÇELİK Ö., Atasoy S., Pekince A., et al.

ORAL RADIOLOGY, vol.38, no.4, pp.468-479, 2022 (SCI-Expanded)

Convolutional Neural Network Performance for Sella Turcica Segmentation and Classification Using CBCT Images

DUMAN Ş. B., Syed A. Z., ÇELİK ÖZEN D., BAYRAKDAR İ. Ş., Salehi H. S., Abdelkarim A., et al.

DIAGNOSTICS, vol.12, no.9, 2022 (SCI-Expanded)

A Fused Deep Learning Architecture for the Detection of the Relationship between the Mandibular Third Molar and the Mandibular Canal

Buyuk C., Akkaya N., Arsan B., Unsal G., Aksoy S., Orhan K.

DIAGNOSTICS, vol.12, no.8, 2022 (SCI-Expanded)

Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system

YURTTAŞ M., Celik O., BAYRAKDAR İ. Ş., BİLGİR E., ORHAN K., ODABAŞ A., et al.

ORAL RADIOLOGY, vol.38, no.3, pp.363-369, 2022 (SCI-Expanded)

AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients

ORHAN K., Shamshiev M., Ezhov M., Plaksin A., Kurbanova A., Unsal G., et al.

SCIENTIFIC REPORTS, vol.12, no.1, 2022 (SCI-Expanded)

Combined clinical and specific positron emission tomography/computed tomography-based radiomic features and machine-learning model in prediction of thymoma risk groups

ÖZKAN E., ORHAN K., SOYDAL Ç., KAHYA Y., Seckin Tunc S., ÇELİK Ö., et al.

NUCLEAR MEDICINE COMMUNICATIONS, vol.43, no.5, pp.529-539, 2022 (SCI-Expanded)

Effect of different resin removal methods on enamel after metal and ceramic bracket debonding An in vitro micro-computed tomography study

Cesur E., Arslan C., ORHAN A. I., Bilecenoglu B., ORHAN K.

JOURNAL OF OROFACIAL ORTHOPEDICS-FORTSCHRITTE DER KIEFERORTHOPADIE, vol.83, no.3, pp.157-171, 2022 (SCI-Expanded)

Performance of a convolutional neural network algorithm for tooth detection and numbering on periapical radiographs

GÖRÜRGÖZ C., ORHAN K., BAYRAKDAR İ. Ş., ÇELİK Ö., BİLGİR E., ODABAŞ A., et al.

DENTOMAXILLOFACIAL RADIOLOGY, vol.51, no.3, 2022 (SCI-Expanded)

A DEEP-LEARNING MODEL FOR IDIOPATHIC OSTEOSCLEROSIS DETECTION ON PANORAMIC RADIOGRAPHS

Yesiltepe S., BAYRAKDAR İ. Ş., ORHAN K., Celik O., BİLGİR E., ASLAN A. F., et al.

MEDICAL PRINCIPLES AND PRACTICE, vol.31, pp.555-561, 2022 (SCI-Expanded)

A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs

BAYRAKDAR İ. Ş., ORHAN K., celik O., BİLGİR E., SAĞLAM H., AKKOCA KAPLAN F., et al.

BIOMED RESEARCH INTERNATIONAL, vol.2022, 2022 (SCI-Expanded)

Evaluation of artificial intelligence for detecting impacted third molars on cone-beam computed tomography scans

ORHAN K., BİLGİR E., BAYRAKDAR İ. Ş., Ezhov M., Gusarev M., Shumilov E.

JOURNAL OF STOMATOLOGY ORAL AND MAXILLOFACIAL SURGERY, vol.122, no.4, pp.333-337, 2021 (SCI-Expanded)

An artificial intelligence approach to automatic tooth detection and numbering in panoramic radiographs

BİLGİR E., BAYRAKDAR İ. Ş., Celik O., ORHAN K., Akkoca F., SAĞLAM H., et al.

BMC MEDICAL IMAGING, vol.21, no.1, 2021 (SCI-Expanded)

Development and Validation of a Magnetic Resonance Imaging-Based Machine Learning Model for TMJ Pathologies

ORHAN K., Driesen L., Shujaat S., Jacobs R., Chai X.

BIOMED RESEARCH INTERNATIONAL, vol.2021, 2021 (SCI-Expanded) Sustainable Development

Sustainable Development

Clinically applicable artificial intelligence system for dental diagnosis with CBCT

Ezhov M., Gusarev M., Golitsyna M., Yates J. M., Kushnerev E., Tamimi D., et al.

SCIENTIFIC REPORTS, vol.11, no.1, 2021 (SCI-Expanded)

A deep learning approach for dental implant planning in cone-beam computed tomography images

KURT BAYRAKDAR S., ORHAN K., BAYRAKDAR İ. Ş., BİLGİR E., Ezhov M., Gusarev M., et al.

BMC MEDICAL IMAGING, vol.21, no.1, 2021 (SCI-Expanded)

An artificial intelligence proposal to automatic teeth detection and numbering in dental bite-wing radiographs

Yasa Y., Celik O., BAYRAKDAR İ. Ş., Pekince A., ORHAN K., Akarsu S., et al.

ACTA ODONTOLOGICA SCANDINAVICA, vol.79, no.4, pp.275-281, 2021 (SCI-Expanded)

Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs

Kilic M. C., BAYRAKDAR İ. Ş., Celik O., BİLGİR E., ORHAN K., Aydin O. B., et al.

DENTOMAXILLOFACIAL RADIOLOGY, vol.50, no.6, 2021 (SCI-Expanded)

Validation of cervical vertebral maturation stages: Artificial intelligence vs human observer visual analysis

AMASYA H., Cesur E., Yildirim D., ORHAN K.

AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, vol.158, no.6, 2020 (SCI-Expanded)

Cone beam computed tomography evaluation of the relationship between atlantodental interval and skeletal facial morphology in adolescents

Cesur E., ORHAN K., Misirli M., Bilecenoglu B.

BRAZILIAN JOURNAL OF OTORHINOLARYNGOLOGY, vol.86, no.6, pp.711-719, 2020 (SCI-Expanded)

What can Blockchain technology bring to oral and maxillofacial radiology?

BAYRAKDAR İ. Ş., Yasa Y., DUMAN Ş. B., ORHAN K.

ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY, vol.130, no.2, pp.225-226, 2020 (SCI-Expanded)

Evaluation of a metal artifact reduction algorithm and an optimization filter in the estimation of peri-implant dehiscence defects by using cone beam computed tomography: an in-vitro study

BAYRAK S., ORHAN K., Cakmak E. S. K., GÖRÜRGÖZ C., ODABAŞI O., YILMAZ D., et al.

ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY, vol.130, no.2, pp.209-216, 2020 (SCI-Expanded)

Evaluation of artificial intelligence for detecting periapical pathosis on cone-beam computed tomography scans

ORHAN K., BAYRAKDAR İ. Ş., Ezhov M., Kravtsov A., ÖZYÜREK T.

INTERNATIONAL ENDODONTIC JOURNAL, vol.53, no.5, pp.680-689, 2020 (SCI-Expanded)

Cervical vertebral maturation assessment on lateral cephalometric radiographs using artificial intelligence: comparison of machine learning classifier models

AMASYA H., YILDIRIM D., AYDOĞAN T., Kemaloglu N., ORHAN K.

DENTOMAXILLOFACIAL RADIOLOGY, vol.49, no.5, 2020 (SCI-Expanded)

Diagnostic accuracy of magnetic resonance imaging and clinical signs of temporomandibular joint disorders: a 10-year research update review

ORHAN K., Seki U., Rozylo-Kalinowska I.

ORAL RADIOLOGY, vol.33, no.2, pp.81-91, 2017 (SCI-Expanded)

Micro-computed tomographic analysis of progression of artificial enamel lesions in primary and permanent teeth after resin infiltration

Ozgul B. M., ORHAN K., TULGA ÖZ F.

JOURNAL OF ORAL SCIENCE, vol.57, no.3, pp.177-183, 2015 (SCI-Expanded)

Analysis of pulp chamber of primary maxillary second molars using 3D micro-CT system: an in vitro study

Orhan A. I., ORHAN K., Ozgul B. M., Oz F. T.

EUROPEAN JOURNAL OF PAEDIATRIC DENTISTRY, vol.16, no.4, pp.305-310, 2015 (SCI-Expanded)

Articles Published in Other Journals

DEEP LEARNING MODEL USING YOLO-V5 FOR DETECTING AND NUMBERING OF TEETH IN DENTAL BITEWING IMAGES

Görürgöz C., Chaurasia A., Karobari M. I., BAYRAKDAR İ. Ş., ÇELİK Ö., ORHAN K.

Journal of Stomatology, vol.78, no.1, pp.42-51, 2025 (Scopus)

A deep learning approach for masseter muscle segmentation on ultrasonography

KESER G., BAYRAKDAR İ. Ş., NAMDAR PEKİNER F. M., Celik O., ORHAN K.

JOURNAL OF ULTRASONOGRAPHY, vol.22, no.91, 2022 (ESCI)

An Artificial Intelligence Hypothetical Approach for Masseter Muscle Segmentation on Ultrasonography in Patients With Bruxism

ORHAN K., YAZICI G., KOLSUZ M. E., KAFA N., BAYRAKDAR İ. Ş., Celik O.

JOURNAL OF ADVANCED ORAL RESEARCH, vol.12, no.2, pp.206-213, 2021 (ESCI)

Can the blockchain-enabled interplanetary file system (Block-IPFS) be a solution for securely transferring imaging data for artificial intelligence research in oral and maxillofacial radiology?

ORHAN K., BAYRAKDAR İ. Ş., Celik O., Ayan B., Polat E.

IMAGING SCIENCE IN DENTISTRY, vol.51, no.3, pp.337-339, 2021 (ESCI)

Success Of Artificial Intelligence System In Determining Alveolar Bone Loss From Dental Panoramic Radiography Images

BAYRAKDAR İ. Ş., Ҫelik Ö., BAYRAKDAR İ. Ş., ORHAN K., BİLGİR E., ODABAŞ A., et al.

Cumhuriyet Dental Journal, vol.23, no.4, pp.318-324, 2020 (Scopus)

Papers Published in Refereed Scientific Meetings

PANORAMİK RADYOGRAFİLERDE OTOMATİK DİŞ ALGILAMA VE NUMARALANDIRMA İÇİN DERİN ÖĞRENME YAKLAŞIMI: BİR YAPAY ZEKÂ PİLOT ÇALIŞMASI

KESER G., YÜLEK H., BAYRAKDAR İ. Ş., NAMDAR PEKİNER F. M., ÇELİK Ö., ORHAN K.

II. Uluslararası Sağlıkta Yapay Zeka Kongresi, Turkey, 16 April 2021, (Summary Text)

A deep learning algorithm for classification of oral lichenoid lesions from photographic images: A retrospective study.

KESER G., BAYRAKDAR İ. Ş., NAMDAR PEKİNER F. M., ÇELİK Ö., ORHAN K.

17th Biennial Congress of EAOM (EAOM21), Porto, Portugal, 24 - 26 September 2021, (Summary Text)

EVALUATION OF PERIAPICAL AND BITE-WING RADIOGRAPHS WITH DEEP LEARNING METHOD AND CLASSIFICATION AS PERIODONTALLY HEALTHY AND WITH PERIODONTITIS

YAVUZ M. B., Salı N., KURT BAYRAKDAR S., BAYRAKDAR İ. Ş., ÇELİK Ö., ORHAN K.

III. Uluslararası Sağlıkta Yapay Zekâ Kongresi, 11 May 2022, (Summary Text)

Detecting periodontal bone loss with an artificial intelligence approach on dental bitewing radiographs

YAVUZ M. B., salı n., ERSÖZ M. M., KURT BAYRAKDAR S., BAYRAKDAR İ. Ş., ÇELİK Ö., et al.

EuroPerio10, 15 June 2022, (Summary Text)

Automated Dental Panoramic Image Segmentation Using Transfer Learning Based CNNs

Caylak T., YETİK İ. Ş., Culhaoglu A., ORHAN K., KILIÇARSLAN M. A.

29th International Conference on Systems, Signals and Image Processing (IWSSIP), Sofija, Bulgaria, 1 - 03 June 2022, (Full Text)

A NEW METHOD İN THE DETECTION OF LYMPH NODE METASTASIS OF NSCLC:MICRO CT

KAYI CANGIR A., ORHAN K., GÜNEŞ S. G., ÖZAKINCI H., KAHYA Y., KARASOY D., et al.

MicroCT User Meeting 2021, Netherlands, 12 October 2021, (Full Text)

Panoramik Radyografilerde Dental İmplantların, İyileşme Başlıklarının ve İmplant Üstü Protezlerin Otomatik Tespiti: Bir Yapay Zeka Çalışması

SALI N., YAVUZ M. B., KURT BAYRAKDAR S., BAYRAKDAR İ. Ş., ÇELİK Ö., ORHAN K.

3. Uluslararası Sağlıkta Yapay Zeka Kongresi, ÇEVRİMİÇİ, Turkey, 11 - 13 May 2022, (Summary Text)

Biyobasım Sonrası implant görüntülenmesi: Mikro CT

Büyüksungur A.

Doku Mühendisliğinde Biyobasım: Polimerik Malzemeler, Biyoseramik Kompozitler ve Doku Özdeşleri, Kocaeli, Turkey, 02 November 2016, (Unpublished)

Intraoral fotoğraflarda oral pigmente lezyonların teşhisi: bir yapay zekâ çalışması

BİLGİR E., ÖZDEMİR S. N., BAYRAKDAR İ. Ş., ÇELİK Ö., ORHAN K., AKGÜL H. M.

2. Uluslararası Ağız Kanserleri Kongresi, Turkey, 5 - 08 October 2023, (Summary Text)

3D Bone Tumor Model by Tissue Engineering Approach

Kömez A., Büyüksungur A., Hasırcı N., Hasırcı V.

BIOMED2019-24th International Biomedical Science and Technology Symposium, İzmir, Turkey, 17 - 20 October 2019, pp.201, (Summary Text)

Detection of Periodontal Bone Loss Types and Furcation Defects from Panoramic Radiographs with Deep Learning Algorithms

KURT BAYRAKDAR S., ÇELİK Ö., BAYRAKDAR İ. Ş., BİLGİR E., ORHAN K.

II. Uluslararası Sağlıkta Yapay Zeka Kongresi, İzmir, Turkey, 16 - 18 April 2021, (Summary Text)

AUTOMATIC DETECTION OF DENTAL IMPLANTS, GINGIVA FORMERS AND IMPLANT SUPPORTED CROWNS IN PANORAMIC RADIOGRAPHIES: AN ARTIFICIAL INTELLIGENCE STUDY.

Salı N., YAVUZ M. B., BAYRAKDAR İ. Ş., KURT BAYRAKDAR S., ÇELİK Ö., ORHAN K.

III. Uluslararası Sağlıkta Yapay Zekâ Kongresi, 11 May 2022, (Summary Text)

3D Printed, Tissue Engineered Femoral Implant Design and Production

Büyüksungur S., Büyüksungur A., Hasırcı N., Hasırcı V. N.

BIOMED2015-21th International Biomedical Science and Technology Symposium,, Antalya, Turkey, 22 - 24 October 2015, pp.126, (Summary Text)

Detection of Tooth Numbering, Gingival Inflammation, Gingival Hyperplasia and Frenulum in Dental Photographs Using Artificial Intelligence Algorithms: An Initial Study

YAVUZ M. B., SALI N., UĞURLU M., KURT BAYRAKDAR S., BAYRAKDAR İ. Ş., ÇELİK Ö., et al.

Türk Periodontoloji Derneği 50. Uluslararası Çevrim İçi Kongresi, ÇEVRİMİÇİ, Turkey, 5 - 06 November 2021, (Summary Text)

Registration of Histopathology and micro CT slices for quantifying periapical lesions in a rat model

Orhan K., Aksoy U., Büyüksungur A., Savtekin ‪., Şehirli A. Ö., Özkayalar H.

CARS 2018—Computer Assisted Radiology and Surgery Proceedings of the 32nd International Congress and Exhibition, Berlin, Germany, 20 - 23 June 2018, pp.269, (Summary Text)

A DEEP LEARNING APPRROACH TO DETECTION OF ORAL CANCER LESIONS FROM INTRA ORAL PATIENT IMAGES

KESER G., NAMDAR PEKİNER F. M., BAYRAKDAR İ. Ş., ÇELİK Ö., ORHAN K.

International Congress of Oral Cancer Current Approaches, İzmir, Turkey, 5 - 07 October 2023, (Summary Text)

Modelling of 3D Scaffolds for Patient Specific Implants

Büyüksungur A., Endoğan Tanır T., Hasırcı N., Hasırcı V. N.

BIOMED2015-21th International Biomedical Science and Technology Symposium,, Antalya, Turkey, 22 - 24 October 2015, pp.138, (Summary Text)

Books & Book Chapters

Understanding of AI in Dental Field with Technical Aspects

AKKAYA N., ÜNSAL G., ORHAN K.

in: Artificial Intelligence in Dentistry, Kaan Orhan, Rohan Jagtap, Editor, Springer Nature, pp.9-31, 2024

Outlook for AI in Oral Surgery and Periodontics

KURT BAYRAKDAR S., ORHAN K., Jagtap R.

in: Artificial Intelligence in Dentistry, Kaan Orhan, Rohan Jagtap, Editor, Springer Nature, pp.97-130, 2024

Medico-Legal Problems of Artificial Intelligence

ORHAN K., MISIRLI M., Jadhav A., Jagtap R.

in: Artificial Intelligence in Dentistry, Orhan Kaan, Jagtap Rohan, Editor, Springer Nature, pp.259-282, 2024

Advantages, Disadvantages, and Limitations of AI in Dental Health

JAGTAP R., KURT BAYRAKDAR S., ORHAN K.

in: Artificial Intelligence in Dentistry, ORHAN KAAN, JAGTAP ROHAN, Editor, Springer Nature, pp.235-246, 2024

AI in Orthodontic

ORHAN K., AMASYA H.

in: Artificial Intelligence in Dentistry, Kaan Orhan, Rohan Jagtap, Editor, Springer Nature, pp.131-141, 2024

Fundamentals of Micro-CT Imaging

Orhan K., Büyüksungur A.

in: Micro-computed Tomography (micro-CT) in Medicine and Engineering, Kaan Orhan, Editor, Springer Nature, Basel, pp.27-33, 2019

Artificial Intelligence in Dentistry

ORHAN K., Jagtap R.

Springer Nature, 2024

3B Modelleme ve Tasarımda Yapay Zeka

in: 3B Modelleme ve Tasarımda Yapay Zeka, Yılgör Huri, Editor, Türkiye Klinikleri Yayınevi, Ankara, pp.12-14, 2024

Impact of AI in Obstructive Sleep Apnea

ORHAN K., AKSOY S.

in: Artificial Intelligence in Dentistry, Kaan Orhan, Rohan Jagtap, Editor, Springer Nature, pp.177-186, 2024

Applications of Artificial Intelligence in Dentistry

Jaju P., BAYRAKDAR İ. Ş., Jaju S., Shah V., ORHAN K., Jagtap R.

in: Artificial Intelligence in Dentistry, Kaan Orhan, Rohan Jagtap, Editor, Springer Nature, pp.43-68, 2024

Digital Dentistry Applications in Pediatric Dentistry

Orhan A. I., Bezgin T., Orhan K.

in: Digital Dentistry: An Overview and Future Prospects, Kaan Orhan,Antigoni Delantoni, Editor, Springer, London/Berlin , Geneve, pp.199-220, 2024

Artificial Intelligence in Dentistry

Gökdeniz S. T., Büyüksungur A., Kolsuz M. E.

in: Human Teeth - From Function to Esthetics, Dr. Lavinia Cosmina Ardelean Prof. Laura-Cristina Rusu, Editor, Intechopen, London, pp.1-23, 2023

Introduction to Artificial Intelligence

ORHAN K., Jagtap R.

in: Artificial Intelligence in Dentistry, Kaan Orhan, Rohan Jagtap, Editor, Springer Nature, pp.1-7, 2024

Applications of Machine Learning and Artificial Intelligence in the COVID-19 Pandemic

ROZYLO KALINOWSKA I., ORHAN K.

in: Artificial Intelligence in Dentistry, Kaan Orhan, Rohan Jagtap, Editor, Springer Nature, pp.247-257, 2024

Digital Caries Detection Systems

Baltacıoğlu İ. H., Demirel G., Orhan K.

in: Digital Dentistry An Overview and Future Prospects, Antigoni Delantoni,Kaan Orhan, Editor, Springer, London/Berlin , Berlin, pp.69-78, 2024