Digital impression accuracy of a novel scannable healing abutment: an in vitro study with three intraoral scanners. [PDF]
Chen X +5 more
europepmc +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Comparative accuracy of complete-arch intraoral scans using full-scan and segmental-and-merge strategies. [PDF]
Shin YJ, Lee KB, Kim SY, Lee CH.
europepmc +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Accuracy of digital impressions for implant fixed dental prostheses in partial and complete maxillary edentulous arches: effect of intraoral scanners and implant position. [PDF]
Emam M, Aldesoki M, Bourauel C.
europepmc +1 more source
Impact of scanning errors on the trueness of digital implant impressions. [PDF]
Matta RE +4 more
europepmc +1 more source
Influence of Superimposition Strategies and Landmark Distribution on the Full-Arch Trueness of Orthodontic Digital Models. [PDF]
Firinciogullari EC +3 more
europepmc +1 more source
Ray-Tracing-Based Intraocular Lens Power Calculation in Combined Cataract Surgery and Descemet Membrane Endothelial Keratoplasty. [PDF]
Weber JO +5 more
europepmc +1 more source
Evaluation of 3D facial scanners: trueness and precision
Francesco Mintrone +4 more
openaire +1 more source

