Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Mandible Segmentation of Dental CBCT Scans Affected by Metal Artifacts Using Coarse-to-Fine Learning Model
Bingjiang Qiu, Hylke van der Wel, Joep Kraeima, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 6, pp. 560-560
Open Access | Times Cited: 17

Showing 17 citing articles:

Artificial intelligence serving pre-surgical digital implant planning: A scoping review
Bahaaeldeen M. Elgarba, Rocharles Cavalcante Fontenele, Mihai Tarce, et al.
Journal of Dentistry (2024) Vol. 143, pp. 104862-104862
Open Access | Times Cited: 18
Accuracy of artificial intelligence-based segmentation in maxillofacial structures: a systematic review
Manea Musa Al-Ahmari, Maram A. Alahmari, Abdulmajeed Almuaddi, et al.
BMC Oral Health (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Use of Advanced Artificial Intelligence in Forensic Medicine, Forensic Anthropology and Clinical Anatomy
Andrej Thurzo, Helena Svobodová, Veronika Kurilová, et al.
Healthcare (2021) Vol. 9, Iss. 11, pp. 1545-1545
Open Access | Times Cited: 80
Artificial intelligence models for clinical usage in dentistry with a focus on dentomaxillofacial CBCT: a systematic review
Sorana Mureşanu, Oana Almăşan, Mihaela Hedeșiu, et al.
Oral Radiology (2022) Vol. 39, Iss. 1, pp. 18-40
Closed Access | Times Cited: 40
Human Remains Identification Using Micro-CT, Chemometric and AI Methods in Forensic Experimental Reconstruction of Dental Patterns after Concentrated Sulphuric Acid Significant Impact
Andrej Thurzo, Viera Jančovičová, Miroslav Hain, et al.
Molecules (2022) Vol. 27, Iss. 13, pp. 4035-4035
Open Access | Times Cited: 22
Assessment of deep learning technique for fully automated mandibular segmentation
Ebru Yurdakurban, Yağızalp Sükut, Gökhan Serhat Duran
American Journal of Orthodontics and Dentofacial Orthopedics (2025) Vol. 167, Iss. 2, pp. 242-249
Closed Access
Accurate mandibular canal segmentation of dental CBCT using a two-stage 3D-UNet based segmentation framework
Xi Lin, Weini Xin, Jingna Huang, et al.
BMC Oral Health (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 10
Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery
Han Deng, Q. Liu, A. Chen, et al.
International Journal of Oral and Maxillofacial Surgery (2022) Vol. 52, Iss. 7, pp. 793-800
Open Access | Times Cited: 15
Influence of exposure protocol, voxel size, and artifact removal algorithm on the trueness of segmentation utilizing an artificial‐intelligence‐based system
Safa Alrashed, Vinícius Dutra, Tien‐Min Gabriel Chu, et al.
Journal of Prosthodontics (2024) Vol. 33, Iss. 6, pp. 574-583
Open Access | Times Cited: 2
MobileNetV2 Ensemble Segmentation for Mandibular on Panoramic Radiography
Nur Nafi’iyah, Chastine Fatichah, Darlis Herumurti, et al.
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 2, pp. 546-560
Open Access | Times Cited: 6
Performance of artificial intelligence using cone-beam computed tomography for segmentation of oral and maxillofacial structures: A systematic review and meta-analysis
Farida Abesi, M. Hozuri, Mohammad Zamani
Journal of Clinical and Experimental Dentistry (2023), pp. e954-e962
Open Access | Times Cited: 5
Introducing surface-to-surface matching technique to evaluate mandibular symmetry: A retrospective study
Yajuan Xie, Runling Zeng, Jiayin Yan, et al.
Heliyon (2022) Vol. 8, Iss. 7, pp. e09914-e09914
Open Access | Times Cited: 4
Sparse Anatomical Prompt Semi-Supervised Learning with Masked Image Modeling for CBCT Tooth Segmentation
Pengyu Dai, Yafei Ou, Yuqiao Yang, et al.
(2024), pp. 1-5
Closed Access
Image-based multi-omics analysis for oral science: recent progress and perspectives
Yizhuo Chen, Pengxi Du, Yinyin Zhang, et al.
Journal of Dentistry (2024), pp. 105425-105425
Closed Access
AI Techniques for Cone Beam Computed Tomography in Dentistry: Trends and Practices
Saba Sarwar, Suraiya Jabin
(2023), pp. 226-231
Open Access
System of gender identification and age estimation from radiography: a review
Nur Nafi’iyah, Chastine Fatichah, Darlis Herumurti, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 5, pp. 5491-5491
Open Access
Automatic Segmentation of the Mandible for Three-Dimensional Virtual Surgical Planning
Bingjiang Qiu
(2021)
Open Access
Page 1

Scroll to top