Work Force

A Robotic System for Adaptive Training and Function Assessment of Forelimb Retraction in Mice.

Rodent models are decisive for translational research in healthy and pathological conditions of moto...

Evolution of a Novel Robotic Training Curriculum in a Complex General Surgical Oncology Fellowship.

BACKGROUND: Robotic surgery is increasingly being used for complex oncologic operations, although cu...

Application of fuzzy logic tools for the biogeochemical characterisation of (un)contaminated waters from Aljustrel mining area (South Portugal).

Aljustrel mining area (South Portugal) belongs to the Iberian Pyrite Belt (IPB). It is classified of...

A robot-based gait training therapy for pediatric population with cerebral palsy: goal setting, proposal and preliminary clinical implementation.

BACKGROUND: The use of robotic trainers has increased with the aim of improving gait function in pat...

Fallback Variable History NNLMs: Efficient NNLMs by precomputation and stochastic training.

This paper presents a new method to reduce the computational cost when using Neural Networks as Lang...

Effective injury forecasting in soccer with GPS training data and machine learning.

Injuries have a great impact on professional soccer, due to their large influence on team performanc...

Training sparse least squares support vector machines by the QR decomposition.

The solution of an LS-SVM has suffered from the problem of non-sparseness. The paper proposed to app...

Multilevel Feature Representation of FDG-PET Brain Images for Diagnosing Alzheimer's Disease.

Using a single imaging modality to diagnose Alzheimer's disease (AD) or mild cognitive impairment (M...

Robot-assisted training using Hybrid Assistive Limb® for cerebral palsy.

PURPOSE: The Hybrid Assistive Limb® (HAL®, CYBERDYNE) is a wearable robot that provides assistance t...

Translation of robot-assisted rehabilitation to clinical service: a comparison of the rehabilitation effectiveness of EMG-driven robot hand assisted upper limb training in practical clinical service and in clinical trial with laboratory configuration for chronic stroke.

BACKGROUND: Rehabilitation robots can provide intensive physical training after stroke. However, var...

Artificial Intelligence and Machine Learning: Opportunities for Radiologists in Training.

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...

Design and Evaluation of a Motorized Robotic Bed Mover With Omnidirectional Mobility for Patient Transportation.

Patient transportation in hospitals faces many challenges, including the limited manpower, work-rela...

Gastric Pathology Image Classification Using Stepwise Fine-Tuning for Deep Neural Networks.

Deep learning using convolutional neural networks (CNNs) is a distinguished tool for many image clas...

Estimation of vertical ground reaction force during running using neural network model and uniaxial accelerometer.

Wearable technology has been viewed as one of the plausible alternatives to capture human motion in ...

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...

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...