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Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data.

We present an approach for fully automatic urinary bladder segmentation in CT images with artificial...

Robot-assisted gait training is not superior to intensive overground walking in multiple sclerosis with severe disability (the RAGTIME study): A randomized controlled trial.

BACKGROUND: Rehabilitation may attenuate the impact on mobility of patients with progressive multipl...

Job interview training targeting nonverbal communication using an android robot for individuals with autism spectrum disorder.

Job interviews are significant barriers for individuals with autism spectrum disorder because these ...

A novel machine-learning-based infection screening system via 2013-2017 seasonal influenza patients' vital signs as training datasets.

Experimental Study on Upper-Limb Rehabilitation Training of Stroke Patients Based on Adaptive Task Level: A Preliminary Study.

During robot-aided motion rehabilitation training, inappropriate difficulty of the training task usu...

Medical image classification using synergic deep learning.

The classification of medical images is an essential task in computer-aided diagnosis, medical image...

Training improvements for ultrasound beamforming with deep neural networks.

This paper investigates practical considerations of training ultrasound deep neural network (DNN) be...

Interactive Compliance Control of a Wrist Rehabilitation Device (WRD) with Enhanced Training Safety.

Interaction control plays an important role in rehabilitation devices to ensure training safety and ...

Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data.

PURPOSE: Cancers are almost always diagnosed by morphologic features in tissue sections. In this con...

Guiding Neuroevolution with Structural Objectives.

The structure and performance of neural networks are intimately connected, and by use of evolutionar...

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network.

Automatic diagnosing lung cancer from computed tomography scans involves two steps: detect all suspi...

A randomized controlled trial of suicide prevention training for primary care providers: a study protocol.

BACKGROUND: Suicide is a national public health crisis and a critical patient safety issue. It is th...

Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence.

Artificial intelligence (AI)-based methods have emerged as powerful tools to transform medical care....

Vision-aided brain-machine interface training system for robotic arm control and clinical application on two patients with cervical spinal cord injury.

BACKGROUND: While spontaneous robotic arm control using motor imagery has been reported, most previo...

Standardized and Validated Training Programs for Robot-assisted Laparoscopy: The Challenge of the Future.

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy.

In recent years, endomicroscopy has become increasingly used for diagnostic purposes and interventio...

Artificial intelligence and the radiologist: the future in the Armed Forces Medical Services.

Artificial intelligence (AI) involves computational networks (neural networks) that simulate human i...

Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation.

We investigate two crucial and closely-related aspects of CNNs for optical flow estimation: models a...

Machine learning framework for assessment of microbial factory performance.

Metabolic models can estimate intrinsic product yields for microbial factories, but such frameworks ...

Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.

Disease progression modeling (DPM) using longitudinal data is a challenging machine learning task. E...

Effects of robot-assisted gait training in patients with Parkinson's disease: study protocol for a randomized controlled trial.

BACKGROUND: Robot-assisted gait training (RAGT) was developed to restore gait function by promoting ...