Image-based multi-omics analysis for oral science: recent progress and perspectives
Y Chen, P Du, Y Zhang, X Guo, Y Song, J Wang… - Journal of Dentistry, 2024 - Elsevier
Objectives The diagnosis and treatment of oral and dental diseases rely heavily on various
types of medical imaging. Deep learning-mediated multi-omics analysis can extract more …
types of medical imaging. Deep learning-mediated multi-omics analysis can extract more …
[HTML][HTML] CISA-UNet: Dual auxiliary information for tooth segmentation from CBCT images
J Lu, X Huang, C Song, C Li, Y Hu, R Xin… - Alexandria Engineering …, 2025 - Elsevier
With the rise of artificial intelligence approaches, fully automatic tooth segmentation models
from Cone-beam Computed Tomography (CBCT) images become more popular for dental …
from Cone-beam Computed Tomography (CBCT) images become more popular for dental …
Fully automated method for three-dimensional segmentation and fine classification of mixed dentition in cone-beam computed tomography using deep learning
Y Hu, C Liu, W Liu, Y Xiong, W Zeng, J Chen, X Li… - Journal of Dentistry, 2024 - Elsevier
Objective To establish a high-precision, automated model using deep learning for the fine
classification and three-dimensional (3D) segmentation of mixed dentition in cone-beam …
classification and three-dimensional (3D) segmentation of mixed dentition in cone-beam …
[HTML][HTML] Automated orofacial virtual patient creation: A proof of concept
T Jindanil, OE Burlacu-Vatamanu, J Meyns, J Meewis… - Journal of Dentistry, 2024 - Elsevier
Objectives To (1) construct a virtual patient (VP) using facial scan, intraoral scan, and low-
dose computed tomography scab based on an Artificial intelligence (AI)-approach,(2) …
dose computed tomography scab based on an Artificial intelligence (AI)-approach,(2) …
Evaluation of CBCT reconstructed tooth models at different thresholds and voxels and their accuracy in fusion with IOS data: an in vitro validation study
Y Zhang, Y Liu, T Liu, J Zhang, P Lin, D Liu - BMC Oral Health, 2024 - Springer
Background This study aims to evaluate the impact of different thresholds and voxel sizes on
the accuracy of Cone-beam computed tomography (CBCT) tooth reconstruction and to …
the accuracy of Cone-beam computed tomography (CBCT) tooth reconstruction and to …
A Comprehensive Review of the Convergence of Artificial Intelligence and Cone Beam Computed Tomography in Endodontics: Advancements in Diagnostic and …
T Naghshbandi, B Bolhari, Z Afzali - 2024 - jida.ir
Materials and Methods: A comprehensive electronic literature search was conducted using
prominent electronic databases, including Google Scholar, PubMed, Medline, and Scopus …
prominent electronic databases, including Google Scholar, PubMed, Medline, and Scopus …
[PDF][PDF] Enhancing Diagnostic Accuracy of Periapical Lesions and Root Canal Morphology Using Artificial Neural Networks and Convolutional Neural Networks with …
Z Mohsenpour, A Jamshidi, AA Gholami - researchgate.net
Abstract The utilization of Artificial Neural Network (ANN) and Convolutional Neural Network
(CNN) models is increasingly prevalent for analyzing cone beam computed tomography …
(CNN) models is increasingly prevalent for analyzing cone beam computed tomography …