Abstract Purpose Four‐dimensional cone‐beam CT (4D CBCT) incorporates oversampling of 3D data to reconstruct multi‐phase CBCT data sets representing distinct phases of the breathing cycle based on a diaphragmatic correlate of respiratory motion. Motion artifacts and blurring can be reduced relative to three‐dimensional cone‐beam (3D CBCT), allowing ...
Colton Baley+4 more
wiley +1 more source
Vision-Language Model-Based Local Interpretable Model-Agnostic Explanations Analysis for Explainable In-Vehicle Controller Area Network Intrusion Detection. [PDF]
Lee J, Rew J.
europepmc +1 more source
Abstract Purpose This study aims to evaluate how different gantry angles, breathing rates (BPM), cine image speeds, and tracking algorithms affect beam on/off latency and the subsequent impact on target dose for a 0.35T MR‐Linac with a 6 MV FFF beam.
Mateb Al Khalifa+4 more
wiley +1 more source
Accuracy and interpretability of smartwatch electrocardiogram for early detection of atrial fibrillation: A systematic review and meta-analysis. [PDF]
Iqhrammullah M+11 more
europepmc +1 more source
Energy dependence of the GAFCHROMIC LD‐V1 in the diagnostic radiographic modalities
Abstract The GAFCHROMIC LD‐V1 radiochromic film is widely used in dosimetry because it can provide high‐resolution two‐dimensional dose distributions without processing. This study aimed to evaluate the response characteristics at different effective energies, from the low‐energy range of mammography to the high‐energy range of computed tomography. Net
Tatsuhiro Gotanda+9 more
wiley +1 more source
Toward automated and explainable high-throughput perturbation analysis in single cells. [PDF]
Gonzalez-Ferrer J, Mostajo-Radji MA.
europepmc +1 more source
Pedagogy vs. Market Needs: An Appraisal of a Graduate Program in Translation and Interpreting
Aïda Seddik
openalex +2 more sources
Automated rapidplan model validation using Eclipse scripting API
Abstract RapidPlan offers efficiency gains and quality improvements in treatment planning. Prior to its use in the clinic, it requires an extensive validation procedure in which established clinical plans and those generated by the model are compared. The manual iterative nature of this process is resource intensive, as numerous iterations are required
Bradley Beeksma+2 more
wiley +1 more source
Applied machine learning in intelligent systems: knowledge graph-enhanced ophthalmic contrastive learning with "clinical profile" prompts. [PDF]
Han Wang M+15 more
europepmc +1 more source