Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia +3 more
wiley +1 more source
Infrared Small Target Detection Method Fusing Accurate Registration and Weighted Difference. [PDF]
Liang Q +5 more
europepmc +1 more source
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez +2 more
wiley +1 more source
Deep transfer learning based image colorization using VGG19 and CLAHE. [PDF]
Ghosh N, Mandal G.
europepmc +1 more source
Abstract Premise Accurate species identification is crucial for ecological restoration and can be especially challenging for understudied non‐model species. Quercus garryana is the only native oak species in the Pacific Northwest and is an important component of the endangered oak savanna ecosystem.
Ziqi Xie, Tan Bahar, Keith Karoly
wiley +1 more source
Automated quality assurance of HDR brachytherapy: Evaluation of Dwell-position accuracy and Dwell-time linearity via image processing of radiochromic films. [PDF]
Yuan Q, Bi S, Lou E, Jia Y, Dai Z.
europepmc +1 more source
Abstract Muscle architecture is a major determinant of muscle performance and, in mammalian lineages, has been correlated with both feeding ecology and locomotor behaviors. Over the past decade, contrast‐enhanced micro‐CT (DiceCT) has emerged as an alternative to traditional dissection‐based measurement.
Aleksandra Ratkiewicz +5 more
wiley +1 more source
CycleGAN-based image-to-image translation for synthetic contrast enhancement in non-contrast cardiac CT: a ViT-CNN hybrid deep learning approach. [PDF]
Park D +4 more
europepmc +1 more source
Three‐dimensional geometric morphometric analysis of diaphragmatic dome motion in COPD patients
Abstract Diaphragmatic dysfunction is a hallmark of chronic obstructive pulmonary disease (COPD), especially in emphysema, where hyperinflation alters diaphragm geometry and impairs inspiratory mechanics. However, quantitative three‐dimensional (3D) assessments of diaphragmatic dome shape and motion across COPD phenotypes are limited.
José M. López‐Rey +5 more
wiley +1 more source
Advances in quantitative ultrasound for metabolic dysfunction-associated steatotic liver disease diagnosis. [PDF]
Ma Z +6 more
europepmc +1 more source

