TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction [PDF]
When deep neural network has been proposed to assist the dentist in designing the location of dental implant, most of them are targeting simple cases where only one missing tooth is available. As a result, literature works do not work well when there are multiple missing teeth and easily generate false predictions when the teeth are sparsely ...
arxiv
This is a review and update of the: (1) interaction of dental implants with the environment, and (2) effects of salivary contamination on the load of implant prostheses.
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Bugüne kadar kullanılan implant materyalleri arasında titanyum çok önemli bir yere sahiptir. Titanyumun kemik ile olan biyolojik uyumu üzerine birçok araştırma yapılmış ve güvenilirliğini ispatlan- mıştır. Titanyumun en büyük dezavantajı mukozanın altından gri olan renginin yansımasıdır. Bu nedenle, özellikle ön diş kayıplarında estetik kaygıyı ortadan
GÜNGÖR, Hasan, YEŞİL DUYMUŞ, Zeynep
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Radious: Unveiling the Enigma of Dental Radiology with BEIT Adaptor and Mask2Former in Semantic Segmentation [PDF]
X-ray images are the first steps for diagnosing and further treating dental problems. So, early diagnosis prevents the development and increase of oral and dental diseases. In this paper, we developed a semantic segmentation algorithm based on BEIT adaptor and Mask2Former to detect and identify teeth, roots, and multiple dental diseases and ...
arxiv
DentiBot: System Design and 6-DoF Hybrid Position/Force Control for Robot-Assisted Endodontic Treatment [PDF]
Robotic technologies are becoming increasingly popular in dentistry due to the high level of precision required in delicate dental procedures. Most dental robots available today are designed for implant surgery, helping dentists to accurately place implants in the desired position and depth.
arxiv
The interplay between tissue healing and bone remodeling around immediately loaded tooth replacement implants [PDF]
Long-term bone healing/adaptation after a dental implant treatment starts with diffusion of mesenchymal stem cells to the fracture callus and their subsequent differentiation. The healing phase is followed by the bone-remodeling phase. In this work, a mechano-regulatory cellular differentiation model was used to simulate tissue healing around an ...
arxiv +1 more source
ToF-SIMS Investigations on Dental Implant Materials and Adsorbed Protein Films [PDF]
In this work the two experimental dental implant materials FAT and FAW, made of fluoroapatite particles embedded in polymer matrices, and films of the proteins lysozyme, amylase and bovine serum albumin (BSA), adsorbed to the two dental implant materials, were investigated with time-of-flight secondary ion mass spectrometry (ToF-SIMS) and the ...
arxiv
Neural Representation-Based Method for Metal-induced Artifact Reduction in Dental CBCT Imaging [PDF]
This study introduces a novel reconstruction method for dental cone-beam computed tomography (CBCT), focusing on effectively reducing metal-induced artifacts commonly encountered in the presence of prevalent metallic implants. Despite significant progress in metal artifact reduction techniques, challenges persist owing to the intricate physical ...
arxiv
MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images [PDF]
Cone Beam Computed Tomography (CBCT) plays a key role in dental diagnosis and surgery. However, the metal teeth implants could bring annoying metal artifacts during the CBCT imaging process, interfering diagnosis and downstream processing such as tooth segmentation. In this paper, we develop an efficient Transformer to perform metal artifacts reduction
arxiv
RADIOLOGY IN DENTAL IMPLANTATION
The detailed review on dental implantation is presented including preoperative planning, intraoperative control and postoperative follow-up. Since successful outcome depends on the precise preparation for the surgical intervention, the range of radiological methods is described in the review as well as new methods and techniques of dental implantation.
A. Sokkar+3 more
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