Virtual and augmented reality in biomedical engineering

A Taghian, M Abo-Zahhad, MS Sayed… - Biomedical engineering …, 2023 - Springer
Background In the future, extended reality technology will be widely used. People will be led
to utilize virtual reality (VR) and augmented reality (AR) technologies in their daily lives …

[HTML][HTML] Artificial intelligence serving pre-surgical digital implant planning: A scoping review

BM Elgarba, RC Fontenele, M Tarce, R Jacobs - Journal of Dentistry, 2024 - Elsevier
Objectives To conduct a scoping review focusing on artificial intelligence (AI) applications in
presurgical dental implant planning. Additionally, to assess the automation degree of …

ImplantFormer: vision transformer-based implant position regression using dental CBCT data

X Yang, X Li, X Li, P Wu, L Shen, Y Deng - Neural Computing and …, 2024 - Springer
Implant prosthesis is the most appropriate treatment for dentition defect or dentition loss,
which usually involves a surgical guide design process to decide the implant position …

Grey Wolf Optimizer with Behavior Considerations and Dimensional Learning in Three-Dimensional Tooth Model Reconstruction

R Wongkhuenkaew, S Auephanwiriyakul… - Bioengineering, 2024 - mdpi.com
Three-dimensional registration with the affine transform is one of the most important steps in
3D reconstruction. In this paper, the modified grey wolf optimizer with behavior …

深度学习在口腔种植影像学中的应用: 研究进展与挑战

郑懿诺, 孙沐毅, 张虹云, 张婧, 邓天政, 刘倩 - 数据与计算发展前沿, 2024 - jfdc.cnic.cn
[目的] 系统性地回顾和总结深度学习在口腔种植领域的研究进展, 包括口腔影像处理,
种植体系统检测以及口腔种植预后的应用.[方法] 基于深度学习在口腔种植领域的研究 …

Deep Learning in Image Processing: Part 2—Image Enhancement, Reconstruction and Registration

R Pauwels, A Iosifidis - Artificial Intelligence in Dentistry, 2024 - Springer
The digital dental workflow involves the use of several types of images, including two-
dimensional (radiographs, photographs), 3D tomographic (computed tomography, cone …