Results 71 to 80 of about 50,281 (233)
Meniscal forces and knee kinematics are affected by tibial slope modifying high tibial osteotomy
Abstract Purpose To quantify the effect of increasing the posterior tibial slope (PTS) on knee kinematics and the resultant medial and lateral meniscal forces. Methods In this controlled laboratory study, a 6 degrees of freedom (DOF) robotic testing system was used to apply external loading conditions to seven fresh‐frozen human cadaveric knees: (1 ...
Philipp W. Winkler+7 more
wiley +1 more source
Abstract Purpose Germany has high rates of total joint arthroplasty for osteoarthritis of the knee and hip. Ambulatory health interventions can affect the progression of these conditions and the need for total joint arthroplasty. Quality indicators and guideline recommendations facilitate the transparent measurement and demonstration of care quality ...
Tobias Bock+5 more
wiley +1 more source
A Self-Supervised Feature Point Detection Method for ISAR Images of Space Targets
Feature point detection in inverse synthetic aperture radar (ISAR) images of space targets is the foundation for tasks such as analyzing space target motion intent and predicting on-orbit status. Traditional feature point detection methods perform poorly
Shengteng Jiang+4 more
doaj +1 more source
RBM-based joint dictionary learning for ISAR resolution enhancement
In this study, an inverse synthetic aperture radar (ISAR) image resolution enhancement algorithm based on joint dictionary learning is proposed, by which two special sets of sparse signals called dictionaries are solved by exploiting numerous high ...
Jiaqi Ye+3 more
doaj +1 more source
Abstract Revision surgery after anterior cruciate ligament reconstruction (ACL‐R) is hypothesized to be the result of an interplay between factors associated with the anatomy, physiological characteristics and environment of the patient. The multifactorial nature of revision ACL‐R risk is difficult to quantify, and evidence regarding the independent ...
Bálint Zsidai+10 more
wiley +1 more source
In this paper, a novel method of multiple heterogeneous pre-trained deep convolutional neural network models (P-DCNN) ensemble with stacking algorithm is proposed, which can realize automatic recognition of space targets in inverse synthetic aperture ...
Hong Yang, Yasheng Zhang, Wenzhe Ding
doaj +1 more source
ISAR Image Formation Using Sequential Minimization of L0 and L2 Norms [PDF]
A sparsity-driven algorithm of inverse synthetic aperture radar (ISAR) imaging is proposed. Based on the parametric sparse representation of the received ISAR signal, the problem of ISAR image formation is converted into the joint estimation of the target rotation rate and the sparse power distribution in the spatial domain.
arxiv
Abstract Purpose To develop and evaluate sequences for multi‐voxel magnetic resonance spectroscopy using hyperpolarized molecules. Methods A standard single voxel PRESS sequence was extended to acquire multiple voxels consecutively. Its SNR was compared against a 2D FID‐CSI with both 1H and hyperpolarized 13C nuclei in phantoms and in a healthy mouse ...
Wolfgang Gottwald+11 more
wiley +1 more source
Inverse Synthetic Aperture Radar (ISAR) images are extensively used in Radar Automatic Target Recognition (RATR) for non-cooperative targets. However, acquiring training samples for all target categories is challenging. Recognizing target classes without
Xinfei Jin+4 more
doaj +1 more source
International severe asthma registry (ISAR): protocol for a global registry
Background Severe asthma exerts a disproportionately heavy burden on patients and health care. Due to the heterogeneity of the severe asthma population, many patients need to be evaluated to understand the clinical features and outcomes of severe asthma ...
J. Mark FitzGerald+47 more
doaj +1 more source