Staffing & Scheduling

A Portable Passive Rehabilitation Robot for Upper-Extremity Functional Resistance Training.

OBJECTIVE: Loss of arm function is common in individuals with neurological damage, such as stroke or...

Bayesian Approximate Kernel Regression with Variable Selection.

Nonlinear kernel regression models are often used in statistics and machine learning because they ar...

m-Health 2.0: New perspectives on mobile health, machine learning and big data analytics.

Mobile health (m-Health) has been repeatedly called the biggest technological breakthrough of our mo...

A supervised learning approach for diffusion MRI quality control with minimal training data.

Quality control (QC) is a fundamental component of any study. Diffusion MRI has unique challenges th...

Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training.

To realize the full potential of deep learning for medical imaging, large annotated datasets are req...

Prediction of radiographic abnormalities by the use of bag-of-features and convolutional neural networks.

This study evaluated the feasibility of bag-of-features (BOF) and convolutional neural networks (CNN...

Effects of robot-assisted gait training in chronic stroke patients treated by botulinum toxin-a: A pivotal study.

OBJECTIVE: To investigate combined effects of robot-assisted training (RAT) and physical therapy ver...

Effect of Health and Training on Ultrasensitive Cardiac Troponin in Marathon Runners.

PURPOSE: Cardiac troponin (cTn) is the gold standard biomarker for assessing cardiac damage. Previou...

Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition.

Video image recognition has been extensively studied with rapid progress recently. However, most met...

Class-specific extreme learning machine for handling binary class imbalance problem.

Imbalance problem occurs when the majority class instances outnumber the minority class instances. C...

Minimization of annotation work: diagnosis of mammographic masses via active learning.

The prerequisite for establishing an effective prediction system for mammographic diagnosis is the a...

Relationships Between the External and Internal Training Load in Professional Soccer: What Can We Learn From Machine Learning?

PURPOSE: Machine learning may contribute to understanding the relationship between the external load...

Reshaping Movement Distributions With Limit-Push Robotic Training.

High-cost situations need to be avoided. However, occasionally, cost may only be learned by experien...

Training radial basis function networks for wind speed prediction using PSO enhanced differential search optimizer.

This paper presents an integrated hybrid optimization algorithm for training the radial basis functi...

Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models.

PURPOSE: Most of the existing convolutional neural network (CNN)-based medical image segmentation me...

A New Correntropy-Based Conjugate Gradient Backpropagation Algorithm for Improving Training in Neural Networks.

Mean square error (MSE) is the most prominent criterion in training neural networks and has been emp...

Recovery and compensation after robotic assisted gait training in chronic stroke survivors.

Gait re-education is a primary rehabilitation goal after stroke. In the last decades, robots with d...

Machine learning and evidence-based training in technical skills.

Deconvolution of subcellular protrusion heterogeneity and the underlying actin regulator dynamics from live cell imaging.

Cell protrusion is morphodynamically heterogeneous at the subcellular level. However, the mechanism ...

Prediction of Return-to-original-work after an Industrial Accident Using Machine Learning and Comparison of Techniques.

BACKGROUND: Many studies have tried to develop predictors for return-to-work (RTW). However, since c...

Implementing assessments of robot-assisted technical skill in urological education: a systematic review and synthesis of the validity evidence.

OBJECTIVES: To systematically review and synthesise the validity evidence supporting intraoperative ...