Humans

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Re: Does Advancing Technology Improve Outcomes? Comparison of the da Vinci Standard/S/Si to the Xi Robotic Platforms during Robotic Nephroureterectomy.

The Journal of urology Aug 7, 2018
Operative Time Robotics Humans Robotic Surgical Procedures Nephroureterectomy
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Multiscaled Fusion of Deep Convolutional Neural Networks for Screening Atrial Fibrillation From Single Lead Short ECG Recordings.

IEEE journal of biomedical and health informatics Aug 7, 2018
Atrial fibrillation (AF) is one of the most common sustained chronic cardiac arrhythmia in elderly population, associated with a high mortality and morbidity in stroke, heart failure, coronary artery disease, systemic thromboembolism, etc. The early ...
(1)
Signal Processing, Computer-Assisted Humans ROC Curve Atrial Fibrillation Neural Networks, Computer Electrocardiography Algorithms
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Modular force approximating soft robotic pneumatic actuator.

International journal of computer assisted radiology and surgery Aug 7, 2018
PURPOSE: Soft robots are highly flexible and adaptable instruments that have proven extremely useful, especially in the surgical environment where compliance allows for improved maneuverability throughout the body. Endoscopic devices are a primary ex...
Biomimetics Robotics Equipment Design Humans Endoscopy
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Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging.

International journal of computer assisted radiology and surgery Aug 7, 2018
PURPOSE: We propose an approach of 3D convolutional neural network to segment the prostate in MR images.
Prostate Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Neural Networks, Computer Male
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Representational fluidity in embodied (artificial) cognition.

Bio Systems Aug 7, 2018
Theories of embodied cognition agree that the body plays some role in human cognition, but disagree on the precise nature of this role. While it is (together with the environment) fundamentally engrained in the so-called 4E (or multi-E) cognition sta...
Cognition Thinking Artificial Intelligence Emotions Humans Sensorimotor Cortex Models, Theoretical Computational Biology
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Face Space Representations in Deep Convolutional Neural Networks.

Trends in cognitive sciences Aug 7, 2018
Inspired by the primate visual system, deep convolutional neural networks (DCNNs) have made impressive progress on the complex problem of recognizing faces across variations of viewpoint, illumination, expression, and appearance. This generalized fac...
Humans Neural Networks, Computer Animals Facial Recognition Visual Cortex
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Identifying individuals with attention deficit hyperactivity disorder based on temporal variability of dynamic functional connectivity.

Scientific reports Aug 7, 2018
Attention deficit hyperactivity disorder (ADHD) is a common disorder that emerges in school-age children. The diagnostic model based on neuroimaging features could be beneficial for ADHD in twofold: identifying individuals with ADHD and discovering t...
Humans Diagnosis, Computer-Assisted Adolescent Child Female Male Connectome Support Vector Machine Attention Deficit Disorder with Hyperactivity Models, Neurological
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Fusion of encoder-decoder deep networks improves delineation of multiple nuclear phenotypes.

BMC bioinformatics Aug 7, 2018
BACKGROUND: Nuclear segmentation is an important step for profiling aberrant regions of histology sections. If nuclear segmentation can be resolved, then new biomarkers of nuclear phenotypes and their organization can be predicted for the application...
Image Processing, Computer-Assisted Cell Nucleus Humans Neural Networks, Computer Phenotype Deep Learning Algorithms
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[Not Available].

Aktuelle Urologie Aug 7, 2018
Humans Child Replantation Robotics Vesico-Ureteral Reflux Laparoscopy Ureter
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High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence.

Computational intelligence and neuroscience Aug 7, 2018
High-frequency oscillations (HFOs) in the electroencephalogram (EEG) are thought to be a promising marker for epileptogenicity. A number of automated detection algorithms have been developed for reliable analysis of invasively recorded HFOs. However,...
Periodicity Electroencephalography Epilepsy Brain Pattern Recognition, Automated Humans Diagnosis, Computer-Assisted Scalp Artificial Intelligence
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