Work Force

Overground Robot-Assisted Gait Training for Pediatric Cerebral Palsy.

The untethered exoskeletal robot provides patients with the freest and realistic walking experience ...

An Adaptive Heterogeneous Online Learning Ensemble Classifier for Nonstationary Environments.

In recent years, the prevalence of technological advances has led to an enormous and ever-increasing...

Parallel orthogonal deep neural network.

Ensemble learning methods combine multiple models to improve performance by exploiting their diversi...

Training artificial neural networks for precision orientation and strain mapping using 4D electron diffraction datasets.

Techniques for training artificial neural networks (ANNs) and convolutional neural networks (CNNs) u...

Review of Artificial Intelligence Training Tools and Courses for Radiologists.

Artificial intelligence (AI) systems play an increasingly important role in all parts of the imaging...

Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides.

Feature vectors provided by pre-trained deep artificial neural networks have become a dominant sourc...

What Should Radiology Residency and Fellowship Training in Artificial Intelligence Include? A Trainee's Perspective- In Training.

A robot-aided visuomotor wrist training induces gains in proprioceptive and movement accuracy in the contralateral wrist.

Proprioceptive training is a neurorehabilitation approach known to improve proprioceptive acuity and...

Hands-on training about overfitting.

Overfitting is one of the critical problems in developing models by machine learning. With machine l...

The Influence of EMG-Triggered Robotic Movement on Walking, Muscle Force and Spasticity after an Ischemic Stroke.

: Application of the EMG-driven robotic training in everyday therapeutic processes is a modern and i...

DeepMIB: User-friendly and open-source software for training of deep learning network for biological image segmentation.

We present DeepMIB, a new software package that is capable of training convolutional neural networks...

An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks.

Network initialization is the first and critical step for training neural networks. In this paper, w...

Activities of daily living with bionic arm improved by combination training and latching filter in prosthesis control comparison.

BACKGROUND: Advanced prostheses can restore function and improve quality of life for individuals wit...

Hybrid manifold-deep convolutional neural network for sleep staging.

Analysis of electroencephalogram (EEG) is a crucial diagnostic criterion for many sleep disorders, o...

A Review on the Current Applications of Artificial Intelligence in the Operating Room.

. Artificial intelligence (AI) is an era upcoming in medicine and, more recently, in the operating r...

Indirect Estimation of Vertical Ground Reaction Force from a Body-Mounted INS/GPS Using Machine Learning.

Vertical ground reaction force (vGRF) can be measured by force plates or instrumented treadmills, bu...

Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification.

Convolutional neural networks have achieved prominent success on a variety of medical imaging tasks ...

An interdisciplinary team-training protocol for robotic gynecologic surgery improves operating time and costs: analysis of a 4-year experience in a university hospital setting.

Main aim of this study is to assess the effect of a structured, interdisciplinary, surgical, team-tr...

Training deep-learning segmentation models from severely limited data.

PURPOSE: To enable generation of high-quality deep learning segmentation models from severely limite...

An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning.

Deep learning for digital pathology is hindered by the extremely high spatial resolution of whole-sl...

Surgical training model and safe implementation of robotic pancreatoduodenectomy in Japan: a technical note.

BACKGROUND: Growing evidence for the advantages of robotic pancreatoduodenectomy (RPD) has been demo...