Work Force

Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks.

Cytology is the first pathological examination performed in the diagnosis of lung cancer. In our pre...

Training a Convolutional Neural Network with Terminology Summarization Data Improves SNOMED CT Enrichment.

As a step toward learning to automatically insert new concepts into a large biomedical ontology, we ...

Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set?

In recent years, protein-ligand interaction scoring functions derived through machine-learning are r...

Nonlinear dynamics based machine learning: Utilizing dynamics-based flexibility of nonlinear circuits to implement different functions.

The core element of machine learning is a flexible, universal function approximator that can be trai...

A novel CNN based Alzheimer's disease classification using hybrid enhanced ICA segmented gray matter of MRI.

Predicting Alzheimer's Disease (AD) from Mild Cognitive Impairment (MCI) and Cognitive Normal (CN) h...

A randomized controlled study incorporating an electromechanical gait machine, the Hybrid Assistive Limb, in gait training of patients with severe limitations in walking in the subacute phase after stroke.

Early onset, intensive and repetitive, gait training may improve outcome after stroke but for patien...

Robotic fetal ultrasonography platform with a passive scan mechanism.

PURPOSE: The shortage of obstetricians and gynecologists has intensified in developed countries. Our...

A neural network method to predict task- and step-specific ground reaction force magnitudes from trunk accelerations during running activities.

Prediction of ground reaction force (GRF) magnitudes during running-based sports has several importa...

The Virtual Operative Assistant: An explainable artificial intelligence tool for simulation-based training in surgery and medicine.

Simulation-based training is increasingly being used for assessment and training of psychomotor skil...

Adversarial autoencoder for visualization and classification of human activity: Application to a low-cost commercial force plate.

The ability to visualize and interpret high dimensional time-series data will be critical as wearabl...

Robot-assisted arm training for treating adult patients with distal radius fracture: a proof-of-concept pilot study.

BACKGROUND: Fracture of the distal radius is a common wrist injury. As to its management after ortho...

GAN and dual-input two-compartment model-based training of a neural network for robust quantification of contrast uptake rate in gadoxetic acid-enhanced MRI.

PURPOSE: Gadoxetic acid uptake rate (k ) obtained from dynamic, contrast-enhanced (DCE) magnetic res...

Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training.

PURPOSE: This study aimed to validate a deep learning model's diagnostic performance in using comput...

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.

Recent advances in deep learning for medical image segmentation demonstrate expert-level accuracy. H...

Letter to the Editor Re: "The Effects of a Robot-Assisted Arm Training Plus Hand Functional Electrical Stimulation on Recovery After Stroke: A Randomized Clinical Trial".

Towards a global understanding of the drivers of marine and terrestrial biodiversity.

Understanding the distribution of life's variety has driven naturalists and scientists for centuries...

The impact of different training load quantification and modelling methodologies on performance predictions in elite swimmers.

The use of rolling averages to analyse training data has been debated recently. We evaluated two tra...

Shoulder training using shoulder assistive robot in a patient with shoulder elevation dysfunction: A case report.

High-Throughput Screening Technology in Industrial Biotechnology.

Based on the development of automatic devices and rapid assay methods, various high-throughput scree...

Does robot-assisted gait training improve mobility, activities of daily living and quality of life in stroke? A single-blinded, randomized controlled trial.

The purpose of this study was to investigate the effects of robot-assisted gait training (RAGT) on m...

Artificial Intelligence in Radiology Residency Training.

Artificial intelligence (AI) is an emerging technology that brings a wide array of new tools to the ...