Work Force

Wasserstein GANs for MR Imaging: From Paired to Unpaired Training.

Lack of ground-truth MR images impedes the common supervised training of neural networks for image r...

Directions in abusive language training data, a systematic review: Garbage in, garbage out.

Data-driven and machine learning based approaches for detecting, categorising and measuring abusive ...

Effect of combined home-based, overground robotic-assisted gait training and usual physiotherapy on clinical functional outcomes in people with chronic stroke: A randomized controlled trial.

OBJECTIVES: To assess the effect of a home-based over-ground robotic-assisted gait training program ...

Vision-Based Suture Tensile Force Estimation in Robotic Surgery.

Compared to laparoscopy, robotics-assisted minimally invasive surgery has the problem of an absence ...

Artificial intelligence in radiology: relevance of collaborative work between radiologists and engineers for building a multidisciplinary team.

The use of artificial intelligence (AI) algorithms in the field of radiology is becoming more common...

Relationship between training load and recovery in collegiate American football players during pre-season training.

: The purpose of this study was to examine the relationship between training load and next-day recov...

Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture.

Mindfulness training is associated with improvements in psychological wellbeing and cognition, yet t...

Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sequences.

Human Action Recognition (HAR) is the classification of an action performed by a human. The goal of ...

Split-slice training and hyperparameter tuning of RAKI networks for simultaneous multi-slice reconstruction.

PURPOSE: Simultaneous multi-slice acquisitions are essential for modern neuroimaging research, enabl...

An Intelligent Augmented Reality Training Framework for Neonatal Endotracheal Intubation.

Neonatal Endotracheal Intubation (ETI) is a critical resuscitation skill that requires tremendous pr...

The realization of robotic neurorehabilitation in clinical: use of computational intelligence and future prospects analysis.

: Although there is a need for rehabilitation treatment with the increase in the aging population, t...

Pitfalls in training and validation of deep learning systems.

The number of publications in endoscopic journals that present deep learning applications has risen ...

Iterative Training of Neural Networks for Intra Prediction.

This paper presents an iterative training of neural networks for intra prediction in a block-based i...

Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training.

Using standard digital cameras in combination with deep learning (DL) for pose estimation is promisi...

The future surgical training paradigm: Virtual reality and machine learning in surgical education.

Surgical training has undergone substantial change in the last few decades. As technology and patien...

[How I do… to train obstetrics and gynaecology residents in robotic surgery: Implementation of a pedagogical training program in a department equipped with the surgical robot].

Pre-training phenotyping classifiers.

Recent transformer-based pre-trained language models have become a de facto standard for many text c...

Generating photo-realistic training data to improve face recognition accuracy.

Face recognition has become a widely adopted biometric in forensics, security and law enforcement th...

Training confounder-free deep learning models for medical applications.

The presence of confounding effects (or biases) is one of the most critical challenges in using deep...

An Exploratory Study of a New Vancomycin Eye Drops Formulation for Extemporaneous Compounding.

PURPOSE: Compounded eye drop solutions of vancomycin hydrochloride have important clinical applicati...

Stability of 4 Intravenous Drug Formulations in Prefilled Syringes Stored Frozen for Up to 60 Days.

Prefilled drug syringe use may reduce the cost of routine antibiotic drug delivery. Storage of pref...