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Developing a Three- to Six-State EEG-Based Brain-Computer Interface for a Virtual Robotic Manipulator Control.

IEEE transactions on bio-medical engineering Aug 17, 2018
OBJECTIVE: We develop an electroencephalography (EEG)-based noninvasive brain-computer interface (BCI) system having short training time (15 min) that can be applied for high-performance control of robotic prosthetic systems.
Self-Help Devices Neural Prostheses Electroencephalography Humans Signal Processing, Computer-Assisted Adult Female Brain-Computer Interfaces Male Young Adult Robotics
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Slow wave detection in sleeping mice: Comparison of traditional and machine learning methods.

Journal of neuroscience methods Aug 17, 2018
BACKGROUND: During slow-wave sleep the electroencephalographic (EEG) and local field potential (LFP) recordings reveal the presence of large amplitude slow waves. Systematic extraction of individual slow waves is not trivial.
Sleep, Slow-Wave Neural Networks, Computer Animals Humans Mice Pattern Recognition, Automated Brain Waves Electrocorticography
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MultiNet PyGRAPPA: Multiple neural networks for reconstructing variable density GRAPPA (a H FID MRSI study).

NeuroImage Aug 17, 2018
Magnetic resonance spectroscopic imaging (MRSI) is a powerful tool for mapping metabolite levels across the brain, however, it generally suffers from long scan times. This severely hinders its application in clinical settings. Additionally, the prese...
Reproducibility of Results Adult Image Processing, Computer-Assisted Aspartic Acid Proton Magnetic Resonance Spectroscopy Glutamic Acid Humans Neural Networks, Computer Brain
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Reply by the Authors.

Urology Aug 17, 2018
(2)
Urinary Bladder Humans Contracture Robotics Robotic Surgical Procedures
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Robot-guided pediatric stereoelectroencephalography: single-institution experience.

Journal of neurosurgery. Pediatrics Aug 17, 2018
OBJECTIVEStereoelectroencephalography (SEEG) has increased in popularity for localization of epileptogenic zones in drug-resistant epilepsy because safety, accuracy, and efficacy have been well established in both adult and pediatric populations. Dev...
(2)
Humans Seizures Stereotaxic Techniques Child, Preschool Child Brain Mapping Female Robotics Male Electroencephalography Adolescent Epilepsy Brain Retrospective Studies
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Automatic hyoid bone detection in fluoroscopic images using deep learning.

Scientific reports Aug 17, 2018
The displacement of the hyoid bone is one of the key components evaluated in the swallow study, as its motion during swallowing is related to overall swallowing integrity. In daily research settings, experts visually detect the hyoid bone in the vide...
Adult Male Middle Aged Aged, 80 and over Young Adult Fluoroscopy Hyoid Bone Deep Learning Image Processing, Computer-Assisted Models, Theoretical Humans Female Aged
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Prediction of Periventricular Leukomalacia in Neonates after Cardiac Surgery Using Machine Learning Algorithms.

Journal of medical systems Aug 17, 2018
Periventricular leukomalacia (PVL) is brain injury that develops commonly in neonates after cardiac surgery. Earlier identification of patients who are at higher risk for PVL may improve clinicians' ability to optimize care for these challenging pati...
Machine Learning Algorithms Retrospective Studies Humans Reproducibility of Results Pregnancy Cardiac Surgical Procedures Female Leukomalacia, Periventricular Infant, Newborn
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Conclusion: harmonisation in genomic and health data sharing for research: an impossible dream?

Human genetics Aug 17, 2018
There are clear benefits from genomics and health data sharing in research and in therapy for individuals across societies. At the same time, citizens have different expectations and fears about that data sharing. International legislation in relatio...
Information Dissemination Computer Security Genetic Privacy Artificial Intelligence Bioethics Genetic Research Humans
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Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics.

IEEE transactions on medical imaging Aug 16, 2018
Breast tumor segmentation based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a challenging problem and an active area of research. Particular challenges, similarly as in other segmentation problems, include the class-imbalance...
Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Female Neural Networks, Computer Breast Neoplasms Genomics
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Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks.

IEEE transactions on medical imaging Aug 16, 2018
Coronary heart disease is a common cause of death despite being preventable. To treat the underlying plaque deposits in the arterial walls, intravascular optical coherence tomography can be used by experts to detect and characterize the lesions. In c...
Endovascular Procedures Humans Plaque, Atherosclerotic Neural Networks, Computer Tomography, Optical Coherence Image Interpretation, Computer-Assisted
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