Results 121 to 130 of about 3,294 (223)
ABSTRACT The aetiology of fatigue differs between exercise intensity domains, but limited research has explored non‐linear gait dynamics across them. To address this, this study aimed to investigate movement variability and stability in moderate, heavy, and severe intensity domains, and to examine how these dynamics evolve over time.
Ben Hunter +4 more
wiley +1 more source
Bayesian optimization combined with in situ quantitative phase imaging enables autonomous correction of layer‐height deviations in projection multi‐photon lithography. By jointly tuning model parameters and grayscale exposure settings, the method achieves more uniform and accurate layers within 300 prints, offering a fast, data‐efficient route to ...
Jason E. Johnson, Xianfan Xu
wiley +1 more source
Visibility and Intersection Density for Boolean Models in Hyperbolic Space
ABSTRACT For Poisson particle processes in hyperbolic space we introduce and study concepts analogous to the intersection density and the mean visible volume, which were originally considered in the analysis of Boolean models in Euclidean space. In particular, we determine a necessary and sufficient condition for the finiteness of the mean visible ...
Tillmann Bühler +2 more
wiley +1 more source
Abstract Purpose Personalized segmentation has been shown to improve performance over generalized models in follow‐up imaging; however, its robustness across large temporal gaps remains unclear. We propose a fully automated, context‐informed personalization framework that integrates radiology report‐derived clinical context with imaging features to ...
Jaehee Chun +9 more
wiley +1 more source
Stand‐alone graph‐based lung airway labeling with quantitative validations
Abstract Background Previous studies have shown that protecting airways connected to high‐functioning lung parenchyma reduces the risk of post‐treatment radiation‐induced lung injury. To account for airway sparing in radiotherapy planning, a critical requirement is to characterize the geometry and radiation response of individual airway segments ...
Hairong Chen, Arezoo Modiri, Amit Sawant
wiley +1 more source
We propose R3Net, a decoder‐free medical image segmentation framework that recursively refines multiscale representations within the encoder using residual pathways. R3Net achieves competitive accuracy with reduced model complexity and improved computational efficiency across multiple medical imaging modalities.
Jing Huang +5 more
wiley +1 more source
Transformations preserving the Hausdorff-Besicovitch dimension
Albeverio Sergio +2 more
doaj +1 more source
Morphological State Transitions and Sediment Transport Variability in Braided Rivers
Abstract Sediment transport in braided rivers shows significant temporal variability, characterized by intense bursts of transport rates even under steady‐state conditions. These fluctuations are often viewed as the consequence of random variations in the local hydraulic conditions and sediment movement.
C. Gotelli, C. Ancey
wiley +1 more source
ABSTRACT Artificial intelligence (AI) enables automated, high‐throughput adiposity quantification, offering refined risk stratification for women with overweight and obesity. We systematically reviewed and meta‐analyzed studies evaluating AI‐based segmentation of visceral, subcutaneous, and total fat in adult women populations (BMI: 25–29.9 and ≥ 30 kg/
Asefa Adimasu Taddese, Bjorn T. Tam
wiley +1 more source
ABSTRACT This paper presents several enhancements to the universal generation of realistic 3D urban scenes with detailed roof shapes, leveraging key data sources such as OpenStreetMap and Digital Terrain Models. The prior approach relied on core principles of 3D mesh generation, producing models compatible with various 3D rendering systems and game ...
Hanli Liu +3 more
wiley +1 more source

