Work Force

Identifying Individual-Cancer-Related Genes by Rebalancing the Training Samples.

The identification of individual-cancer-related genes typically is an imbalanced classification issu...

MicrO: an ontology of phenotypic and metabolic characters, assays, and culture media found in prokaryotic taxonomic descriptions.

BACKGROUND: MicrO is an ontology of microbiological terms, including prokaryotic qualities and proce...

Ecological systems as computer networks: Long distance sea dispersal as a communication medium between island plant populations.

Ecological systems are known to exchange genetic material through animal species migration and seed ...

A fast and stable vascular deformation scheme for interventional surgery training system.

BACKGROUND: The emergence and development of robot assistant interventional vascular surgery technol...

A Heuristic Force Model for Haptic Simulation of Nasogastric Tube Insertion Using Fuzzy Logic.

Nasogastric tube (NGT) placement is an essential clinical skill. The training is conventionally perf...

An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks.

The spiking neural networks (SNNs) are the third generation of neural networks and perform remarkabl...

Robotic surgery training: construct validity of Global Evaluative Assessment of Robotic Skills (GEARS).

The objective of this study is to determine the ability of the GEARS scale (Global Evaluative Assess...

Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation.

Training feedforward neural networks (FNNs) is one of the most critical issues in FNNs studies. Howe...

Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection.

Automated seizure detection is a valuable asset to health professionals, which makes adequate treatm...

Implementing a robotics curriculum at an academic general surgery training program: our initial experience.

The robotic surgical platform is being utilized by a growing number of hospitals across the country,...

Robot Guided 'Pen Skill' Training in Children with Motor Difficulties.

Motor deficits are linked to a range of negative physical, social and academic consequences. Haptic ...

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a l...

Usefulness of robotic gait training plus neuromodulation in chronic spinal cord injury: a case report.

CONTEXT: Spinal cord injury (SCI) affects more than 2.5 million people worldwide, often leading to s...

Determination of the mechanical and physical properties of cartilage by coupling poroelastic-based finite element models of indentation with artificial neural networks.

One of the most widely used techniques to determine the mechanical properties of cartilage is based ...

Home-Based Versus Laboratory-Based Robotic Ankle Training for Children With Cerebral Palsy: A Pilot Randomized Comparative Trial.

OBJECTIVE: To examine the outcomes of home-based robot-guided therapy and compare it to laboratory-b...

Letter to the Editor: Robot training for hand motor recovery in subacute stroke patients: A randomized controlled trial.

The voluntary driven exoskeleton Hybrid Assistive Limb (HAL) for postoperative training of thoracic ossification of the posterior longitudinal ligament: a case report.

CONTEXT: The hybrid assistive limb (HAL) is a wearable robot suit that assists in voluntary control ...

Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images.

Convolutional neural networks (CNNs) are deep learning network architectures that have pushed forwar...

Unbiased estimation of biomarker panel performance when combining training and testing data in a group sequential design.

Motivated by an ongoing study to develop a screening test able to identify patients with undiagnosed...

Adapting content-based image retrieval techniques for the semantic annotation of medical images.

The automatic annotation of medical images is a prerequisite for building comprehensive semantic arc...

A Q-backpropagated time delay neural network for diagnosing severity of gait disturbances in Parkinson's disease.

Parkinson's disease (PD) is a movement disorder that affects the patient's nervous system and health...