Results 201 to 210 of about 3,160,678 (291)
Abstract Purpose This study evaluates the dosimetric and geometric precision of a virtual cone technique using CBCT‐based polymer gel dosimetry, enabling radiation delivery, and imaging readout within an identical spatial coordinate system. Methods We created a C# script for a virtual cone technique that generates a treatment plan with 10 gantry arcs ...
Tenzin Kunkyab+6 more
wiley +1 more source
A dual branch model for predicting microseismic magnitude time series named DTFNet. [PDF]
Luo H+5 more
europepmc +1 more source
Rhythmic Variations of the Growth Rate in Rice Embryo Revealed by Time Series Analysis
Yasuo Nagato
openalex +2 more sources
On the Accuracy of Time-Series, Interest Rate, and Survey Forecasts of Inflation [PDF]
R. W. Hafer, Scott E. Hein
openalex +1 more source
Abstract Purpose This study aims to evaluate the accuracy of the frameless linear accelerator‐based stereotactic radiosurgery (FSRS) system incorporating cone‐beam CT (CBCT), six degrees of freedom (6‐DoF) couch, room laser, and surface image‐guided (SG) systems.
Hao‐Wen Cheng+4 more
wiley +1 more source
Non-healthcare system interventions and COVID-19 daily cases: a multilevel time series analysis. [PDF]
Ma H, Lei L, Liu A, Yang Y.
europepmc +1 more source
Predicting recurrence in patients with breast cancer from cumulative laboratory results: a new technique for the application of time series analysis. [PDF]
Per Winkel+4 more
openalex +1 more source
Abstract Background Dual‐energy cone‐beam CT (DE‐CBCT) has become subject of recent interest due to the ability to produce virtual monoenergetic images (VMIs) with improved soft‐tissue contrast and reduced nonuniformity artifacts. However, efficient production and optimization of VMIs remains an under‐explored part of DE‐CBCT's application.
Andrew Keeler+4 more
wiley +1 more source
Selected Topics in Time Series Forecasting: Statistical Models vs. Machine Learning. [PDF]
Tjøstheim D.
europepmc +1 more source