Crossref

1. The local ternary pattern encoder–decoder neural network for dental image segmentation

- Omran Salih

- Kevin Jan Duffy

3. ARTIFICIAL INTELLIGENCE PLATFORMS IN DENTAL CARIES DETECTION: A SYSTEMATIC REVIEW AND META-ANALYSIS

- LYNDON P ABBOTT

- ANKITA SAIKIA

- ROBERT P ANTHONAPPA

4. Accuracy of in vitro radiographs in determining the remaining dentin thickness below deep dentin caries in deciduous molars

- Akif Demirel

- Olgu Demirci

- Zeynep Ökte

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

- Cansu Görürgöz

- Kaan Orhan

- Ibrahim Sevki Bayrakdar

- Özer Çelik

- Elif Bilgir

- Alper Odabaş

- Ahmet Faruk Aslan

- Rohan Jagtap

6. Development and evaluation of deep learning for screening dental caries from oral photographs

- Xuan Zhang

- Yuan Liang

- Wen Li

- Chao Liu

- Deao Gu

- Weibin Sun

- Leiying Miao

7. Automatic Feature Segmentation in Dental Periapical Radiographs

- Tugba Ari

- Hande Sağlam

- Hasan Öksüzoğlu

- Orhan Kazan

- İbrahim Şevki Bayrakdar

- Suayip Burak Duman

- Özer Çelik

- Rohan Jagtap

- Karolina Futyma-Gąbka

- Ingrid Różyło-Kalinowska

- Kaan Orhan

8. PROSPECTS OF AN AUTOMATED COMPUTER SOFTWARE IMPLEMENTATION FOR PREDICTION OF COURSE AND TREATMENT IN PATIENTS WITH DIFFERENT FORMS OF ODONTOGENIC MAXILLARY SINUSITIS

- O. O. Voloshan

- S. M. Grigorov

- D. S. Demyanyk

- G. P. Ruzin

- K. P. Lokes

9. State-of-art technologies, challenges, and emerging trends of computer vision in dental images

- J. Priya

- S. Kanaga Suba Raja

- S. Usha Kiruthika

10. SUCCESS OF ARTIFICIAL INTELLIGENCE SYSTEM IN DETERMINING ALVEOLAR BONE LOSS FROM DENTAL PANORAMIC RADIOGRAPHY IMAGES

- Sevda KURT

- Özer ÇELİK

- İbrahim Şevki BAYRAKDAR

- Kaan ORHAN

- Elif BİLGİR

- Alper ODABAS

- Ahmet Faruk ASLAN

11. Diagnostic Efficacy of Artificial Intelligence Models for Predicting Endodontic Outcome – A Systematic Review and Meta-Analysis

- Divya Gupta

- Amar Kumar Shaw

- Abhijit Bajirao Jadhav

- Swapnali Mhatre

- Sheetal Dayaram Mali

- Amit Hemraj Patil

12.

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

- Yasin Yasa

- Özer Çelik

- Ibrahim Sevki Bayrakdar

- Adem Pekince

- Kaan Orhan

- Serdar Akarsu

- Samet Atasoy

- Elif Bilgir

- Alper Odabaş

- Ahmet Faruk Aslan

14. Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

- Michael G. Endres

- Florian Hillen

- Marios Salloumis

- Ahmad R. Sedaghat

- Stefan M. Niehues

- Olivia Quatela

- Henning Hanken

- Ralf Smeets

- Benedicta Beck-Broichsitter

- Carsten Rendenbach

- Karim Lakhani

- Max Heiland

- Robert A. Gaudin

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16. Artificial intelligence-powered dentistry: Probing the potential, challenges, and ethicality of artificial intelligence in dentistry

- Abid Rahim

- Rabia Khatoon

- Tahir Ali Khan

- Kawish Syed

- Ibrahim Khan

- Tamsal Khalid

- Balaj Khalid

17. Radiographic modalities for diagnosis of caries in a historical perspective: from film to machine-intelligence supported systems

- Ann Wenzel

18. Diagnostic accuracy of artificial intelligence versus dental experts in predicting endodontic outcomes: A systematic review

- Sahil Choudhari

- Sindhu Ramesh

- Tanvi Deepak Shah

- Kavalipurapu Venkata Teja

19. Measurement Reliability of the Remaining Dentin Thickness below Deep Carious Lesions in Primary Molars

- Roula Berbari

- Alexandre Khairallah

- Hussein F Kazan

- Mohamad Ezzedine

- Daniel Bandon

20. Dental Images’ Segmentation Using Threshold Connected Component Analysis

- Vincent Majanga

- Serestina Viriri

- Simone Ranaldi

21. Teeth segmentation by optical radiographic images using VGG-16 deep learning convolution architecture with R-CNN network approach for biomedical sensing applications

- Mohammad Khursheed Alam

- Tahsinul Haque

- Fatema Akhter

- Hamad Nasser Albagieh

- Abdullah Bin Nabhan

- May Ahmed Alsenani

- Ayyanar Natesan

- N. R. Ramanujam

- Safiqul Islam

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

- Ali Altındağ

- Serkan Bahrilli

- Özer Çelik

- İbrahim Şevki Bayrakdar

- Kaan Orhan

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

- Kaan Orhan

- Elif Bilgir

- Ibrahim Sevki Bayrakdar

- Matvey Ezhov

- Maxim Gusarev

- Eugene Shumilov

24. The effect of a deep-learning tool on dentists’ performances in detecting apical radiolucencies on periapical radiographs

- Manal H. Hamdan

- Lyudmila Tuzova

- André Mol

- Peter Z. Tawil

- Dmitry Tuzoff

- Donald A. Tyndall

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26. Artificial intelligence applications in restorative dentistry: A systematic review

- Marta Revilla-León

- Miguel Gómez-Polo

- Shantanu Vyas

- Abdul Basir Barmak

- Mutlu Özcan

- Wael Att

- Vinayak R. Krishnamurthy

27. A primer and overview of the role of artificial intelligence in oral and maxillofacial radiology

- Donald A. Tyndall

28. Evaluation of artificial intelligence for detecting periapical pathosis on cone‐beam computed tomography scans

- K. Orhan

- I. S. Bayrakdar

- M. Ezhov

- A. Kravtsov

- T. Özyürek

29. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm

- Jae-Hong Lee

- Do-Hyung Kim

- Seong-Nyum Jeong

- Seong-Ho Choi

30. Automatic Blob Detection for Dental Caries

- Vincent Majanga

- Serestina Viriri

31. Artificial intelligence in the detection and classification of dental caries

- Walaa Magdy Ahmed

- Amr Ahmed Azhari

- Khaled Ahmed Fawaz

- Hani M. Ahmed

- Zainab M. Alsadah

- Aritra Majumdar

- Ricardo Marins Carvalho

32. Descriptive analysis of dental X-ray images using various practical methods: A review

- Anuj Kumar

- Harvendra Singh Bhadauria

- Annapurna Singh

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

- Sevda Kurt Bayrakdar

- Kaan Orhan

- Ibrahim Sevki Bayrakdar

- Elif Bilgir

- Matvey Ezhov

- Maxim Gusarev

- Eugene Shumilov

An Innovative Journal in the Field of Radiology

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