Work Force

Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem.

BACKGROUND: Automated segmentation of anatomical structures is a crucial step in image analysis. For...

Changes in electroencephalography complexity and functional magnetic resonance imaging connectivity following robotic hand training in chronic stroke.

In recent years, robotic training has been utilized for recovery of motor control in patients with ...

Denoising Algorithm for Event-Related Desynchronization-Based Motor Intention Recognition in Robot-assisted Stroke Rehabilitation Training with Brain-Machine Interaction.

BACKGROUND: Rehabilitation robots integrated with brain-machine interaction (BMI) can facilitate str...

Effects of two different robot-assisted arm training on upper limb motor function and kinematics in chronic stroke survivors: A randomized controlled trial.

BACKGROUND: Comparative studies of different robotic types are warranted to tailor robot-assisted up...

European Society of Coloproctology Colorectal Robotic Surgery Training for the Trainers Course - the first pilot experience.

AIM: Currently, there is no established colorectal specific robotic surgery Train the Trainer (TTT) ...

An annotated fluorescence image dataset for training nuclear segmentation methods.

Fully-automated nuclear image segmentation is the prerequisite to ensure statistically significant, ...

Caregiver burden in stroke inpatients: a randomized study comparing robot-assisted gait training and conventional therapy.

The effects of caregiver burden during the inpatient rehabilitation period have not yet been investi...

Numerical simulation of deformed red blood cell by utilizing neural network approach and finite element analysis.

In order to have research on the deformation characteristics and mechanical properties of human red ...

Effects of Exoskeletal Lower Limb Robot Training on the Activities of Daily Living in Stroke Patients: Retrospective Pre-Post Comparison Using Propensity Score Matched Analysis.

PURPOSE: There is limited evidence of gait training using newly developed exoskeletal lower limb rob...

Memristor-based LSTM network with in situ training and its applications.

Artificial neural networks (ANNs), such as the convolutional neural network (CNN) and long short-ter...

Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion.

BACKGROUND AND OBJECTIVE: Breast cancer is a frequently diagnosed cancer in women, contributing to s...

AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size.

INTRODUCTION: Robust and reliable attenuation correction (AC) is a prerequisite for accurate quantif...

Robotic Surgical Training at Home: A Low-Fidelity Simulation Method.

OBJECTIVE: Laparoscopic box simulators provide surgical residents a cost-effective and accessible le...

Photoautotrophic picoplankton - a review on their occurrence, role and diversity in Lake Balaton.

Occurrence of the smallest phototrophic microorganisms (photoautotrophic picoplankton, APP) in Lake ...

DANTE: Deep alternations for training neural networks.

We present DANTE, a novel method for training neural networks using the alternating minimization pri...

Genes, the brain, and artificial intelligence in evolution.

Three important systems, genes, the brain, and artificial intelligence (especially deep learning) ha...

Drawing insights from COVID-19-infected patients using CT scan images and machine learning techniques: a study on 200 patients.

As the whole world is witnessing what novel coronavirus (COVID-19) can do to the mankind, it present...

Countermovement Jump Standards in Rugby League: What is a "Good" Performance?

McMahon, JJ, Lake, JP, Dos'Santos, T, Jones, PA, Thomasson, ML, and Comfort, P. Countermovement jump...

BCI training to move a virtual hand reduces phantom limb pain: A randomized crossover trial.

OBJECTIVE: To determine whether training with a brain-computer interface (BCI) to control an image o...

The Beginning of a New Era: Artificial Intelligence in Healthcare.

The healthcare sector is considered to be one of the largest and fast-growing industries in the worl...

Artificial intelligence: a new frontier for anaesthesiology training.