Results 171 to 180 of about 16,724,170 (299)

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

Dual-flow convolutional neural network for automatic measurement of left ventricular ejection fraction and global longitudinal strain in echocardiography. [PDF]

PLOS Digit Health
Zhang Z, Zhu Y, Chen S, Dong Y, Zhang Y, Wu C, Zhang Z, Zhu S, Liu M, Sun Z, Zhang P, Jiang L, Yuan H, Zhang Y, Peng Y, Xu C, Ma C, Zhang C, Huang X, Zhang X, Shi Y, Wang X, Su Q, Wang J, Wang J, Xie M, Yang X, Zhang L, Li Y.   +28 more
europepmc   +1 more source

Examining the Interchangeability of Two Different Patient‐Reported Global Assessment Measures in an Observational Axial Spondyloarthritis Cohort

Arthritis Care &Research, EarlyView.
Objective The goal of this study was to determine if patient global assessment (PGA) scores reported by patients with axial spondyloarthritis (AxSpA) before the development of the AxSpA Disease Activity Score (ASDAS) can be used as a substitute for the global item of the ASDAS formula.
Connor Vershel, Seokhun Kim, Lianne S. Gensler, Matthew A. Brown, Michael H. Weisman, Mariko L. Ishimori, Michael Ward, John D. Reveille, Mark C. Hwang   +8 more
wiley   +1 more source

A Low-Cost Portable Machine Vision System for Non-Destructive Density Estimation of <i>Dunaliella</i> sp. Cultures. [PDF]

Sensors (Basel)
Shan J, Miao X, Liu M, Li H, He Z, Wang Z, Wang H.   +6 more
europepmc   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High Body Mass Index

Arthritis Care &Research, EarlyView.
Objective High body mass index (BMI ≥ 27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Evaluation of the Cornea of Dogs With Dry Eye Disease Using Spectral Domain Optical Coherence Tomography. [PDF]

Vet Ophthalmol
Brito FLDC, Rocha MFXS, Voitena JN, Ledbetter EC, Montiani-Ferreira F.   +4 more
europepmc   +1 more source

Novel Interferometric and Correlation Optical Imaging Techniques

, 2019
The ability to image objects with high precision is central to our every-day life and to the progress in understanding of fundamental phenomena. It is thus natural that a wide range of imaging techniques have been the subject of intense research and developments in the past decades.
openaire   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Rapid estimation of photon measurement density functions using a deep convolutional neural network for functional near-infrared spectroscopy. [PDF]

Neuroimage Rep
Zhao Y, Sun XT, Shi WD, Zhu CZ, Zhang L.
europepmc   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source