Results 131 to 140 of about 4,796 (232)

Utility of local capillary supply indices: Insights from computational image‐based modelling

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Local capillary distribution and fibre geometry influence oxygen availability in skeletal muscle. Image‐based modelling of tissue PO2${{P}_{{{{\mathrm{O}}}_2}}}$ shows that area‐based measures of capillary supply – the local capillary density (LCDi) and local maximum diffusion distance (Dmax,i) – most accurately represent the ...
Abdullah A. Al‐Shammari   +6 more
wiley   +1 more source

Integer Ambiguity Resolution

open access: yes
Bofeng Li, Zhetao Zhang, Weikai Miao
openaire   +1 more source

Phenotypic scoring of canola blackleg severity using machine learning image analysis

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu   +15 more
wiley   +1 more source

Blind Estimation Versus Direct Measurement of the Arterial Input Function in Dynamic Contrast‐Enhanced MRI of the Breast

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 4, Page 1947-1955, October 2026.
PurposeAccurate arterial input functions (AIFs) are essential for quantitative dynamic contrast‐enhanced (DCE) MRI, yet direct measurement is challenging and population‐averaged AIFs neglect patient‐specific variability. Blind deconvolution provides an alternative by estimating patient‐specific AIFs directly from tissue data, up to a scale factor. This
Jake L. Cray   +4 more
wiley   +1 more source

Bayesian Implementation of the Factor‐Analytic Mixed Model and Application to Embeddings

open access: yesStat, Volume 15, Issue 3, September 2026.
ABSTRACT Mixed models and neural networks each offer complementary frameworks for prediction. Theoretically grounded in inference, mixed models can unveil latent variance structure notably with the factor‐analytic approach. In this article, we propose to bridge the gap between the two frameworks, leveraging embedding data from a neural network encoder ...
Alexandre Marchal   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy