Results 31 to 40 of about 512 (70)

Using multimodal speech production data to evaluate articulatory animation for audiovisual speech synthesis [PDF]

3rd International Symposium on Facial Analysis and Animation (2012), 2012
The importance of modeling speech articulation for high-quality audiovisual (AV) speech synthesis is widely acknowledged. Nevertheless, while state-of-the-art, data-driven approaches to facial animation can make use of sophisticated motion capture techniques, the animation of the intraoral articulators (viz.
arxiv  

Automated Process Incorporating Machine Learning Segmentation and Correlation of Oral Diseases with Systemic Health [PDF]

arXiv, 2018
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automated process that combines intraoral fluorescent porphyrin biomarker imaging, clinical examinations and machine learning for correlation of systemic health conditions with periodontal disease. 1215 intraoral fluorescent
arxiv  

FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images [PDF]

arXiv
Accurate detection of bone fenestration and dehiscence (FD) is crucial for effective treatment planning in dentistry. While cone-beam computed tomography (CBCT) is the gold standard for evaluating FD, it comes with limitations such as radiation exposure, limited accessibility, and higher cost compared to intraoral images.
arxiv  

Evaluating the Suitability of Different Intraoral Scan Resolutions for Deep Learning-Based Tooth Segmentation [PDF]

arXiv
Intraoral scans are widely used in digital dentistry for tasks such as dental restoration, treatment planning, and orthodontic procedures. These scans contain detailed topological information, but manual annotation of these scans remains a time-consuming task. Deep learning-based methods have been developed to automate tasks such as tooth segmentation.
arxiv  

Using impact exsolution to link the Chicxulub collision and Deccan volcanism [PDF]

arXiv, 2017
Observations suggest that impactors and volcanism are connected, but the mechanism that links these events is unknown. This research proposes the impact exsolution hypothesis to explain how planetary scale collisions trigger volcanism. This hypothesis says that when large objects such as asteroids or comets hit planets, they generate seismic waves that
arxiv  

Why do hot and cold water sound different when poured? [PDF]

arXiv
Empirical studies have demonstrated that humans possess the remarkable capacity to distinguish whether a glass of water is hot or cold solely by the sound of pouring it. However, the underlying physical mechanisms governing the disparities in the acoustic signatures of hot versus cold water remain to be deciphered.
arxiv  

A Three-Branch Checks-and-Balances Frameworkfor Context-Aware Ethical Alignment of Large Language Models [PDF]

arXiv
This paper introduces a three-branch checks-and-balances framework for ethical alignment of Large Language Models (LLMs), inspired by governmental systems. It implements three independent yet interacting components: LLMs as the executive branch for knowledge generation, DIKE as the legislative branch establishing ethical guardrails, and ERIS as the ...
arxiv  

Statistical validation of a deep learning algorithm for dental anomaly detection in intraoral radiographs using paired data [PDF]

arXiv
This article describes the clinical validation study setup, statistical analysis and results for a deep learning algorithm which detects dental anomalies in intraoral radiographic images, more specifically caries, apical lesions, root canal treatment defects, marginal defects at crown restorations, periodontal bone loss and calculus. The study compares
arxiv  

Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Anthropic Prior Knowledge [PDF]

arXiv
Teeth localization, segmentation, and labeling in 2D images have great potential in modern dentistry to enhance dental diagnostics, treatment planning, and population-based studies on oral health. However, general instance segmentation frameworks are incompetent due to 1) the subtle differences between some teeth' shapes (e.g., maxillary first premolar
arxiv  

Aligner-induced tooth movements in three dimensions using clinical data of two patients [PDF]

arXiv
The effectiveness of a series of optically transparent aligners for orthodontic treatments depends on the anchoring of each tooth. In contrast with roots, the crowns' positions and orientations are measurable with intraoral scans, thus avoiding any X-ray dose.
arxiv