Humans

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Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.

NeuroImage Aug 9, 2018
The human cerebellum plays an essential role in motor control, is involved in cognitive function (i.e., attention, working memory, and language), and helps to regulate emotional responses. Quantitative in-vivo assessment of the cerebellum is importan...
Cohort Studies Humans Machine Learning Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Cerebellum Neuroimaging Attention Deficit Disorder with Hyperactivity Cerebellar Ataxia Autism Spectrum Disorder Female Adult Male
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Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images.

International journal of computer assisted radiology and surgery Aug 9, 2018
PURPOSE: The nonalcoholic fatty liver disease is the most common liver abnormality. Up to date, liver biopsy is the reference standard for direct liver steatosis quantification in hepatic tissue samples. In this paper we propose a neural network-base...
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Humans Male Ultrasonography ROC Curve Fatty Liver Neural Networks, Computer Algorithms Female Adult Support Vector Machine Liver
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Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence.

American journal of ophthalmology Aug 9, 2018
PURPOSE: To improve the detection of corneal ectasia susceptibility using tomographic data.
Corneal Pachymetry Slit Lamp Microscopy Diagnostic Techniques, Ophthalmological Keratomileusis, Laser In Situ Tomography Dilatation, Pathologic Cornea Male Middle Aged Retrospective Studies Case-Control Studies Humans Female ROC Curve Artificial Intelligence Adult Keratoconus Sensitivity and Specificity Corneal Topography
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Exoskeleton assistance symmetry matters: unilateral assistance reduces metabolic cost, but relatively less than bilateral assistance.

Journal of neuroengineering and rehabilitation Aug 9, 2018
BACKGROUND: Many gait impairments are characterized by asymmetry and result in reduced mobility. Exoskeletons could be useful for restoring gait symmetry by assisting only one leg. However, we still have limited understanding of the effects of unilat...
Electromyography Young Adult Gait Energy Metabolism Ankle Joint Biomechanical Phenomena Male Robotics Exoskeleton Device Gait Disorders, Neurologic Humans
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Activity-aware essential tremor evaluation using deep learning method based on acceleration data.

Parkinsonism & related disorders Aug 8, 2018
BACKGROUND: Essential tremor (ET), one of the most common neurological disorders is typically evaluated with validated rating scales which only provide a subjective assessment during a clinical visit, underestimating the fluctuations tremor during di...
Essential Tremor Humans Female Aged Aged, 80 and over Adult Monitoring, Ambulatory Male Accelerometry Middle Aged Motor Activity Deep Learning Microcomputers
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Design of deep echo state networks.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2018
In this paper, we provide a novel approach to the architectural design of deep Recurrent Neural Networks using signal frequency analysis. In particular, focusing on the Reservoir Computing framework and inspired by the principles related to the inher...
Neural Networks, Computer Speech Pattern Recognition, Physiological Humans
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Re: Modified Frailty Index Associated with Clavien-Dindo IV Complications in Robot-Assisted Radical Prostatectomies: A Retrospective Study.

The Journal of urology Aug 8, 2018
Humans Frailty Retrospective Studies Robotics Male Prostate Prostatectomy
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Development of Machine Learning Algorithms for Prediction of 5-Year Spinal Chordoma Survival.

World neurosurgery Aug 8, 2018
BACKGROUND: Chordomas are locally invasive slow-growing tumors that are difficult to study because of the rarity of the tumors and the lack of significant volumes of patients with longitudinal follow-up. As such, there are currently no machine learni...
Age of Onset Spinal Neoplasms Chordoma SEER Program Survival Analysis Tumor Burden Algorithms Female Aged Male Middle Aged United States Bayes Theorem Humans Machine Learning
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Deep learning-based detection and classification of geographic atrophy using a deep convolutional neural network classifier.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Aug 8, 2018
PURPOSE: To automatically detect and classify geographic atrophy (GA) in fundus autofluorescence (FAF) images using a deep learning algorithm.
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Reproducibility of Results Aged Sensitivity and Specificity Male Machine Learning Algorithms Female Fundus Oculi Healthy Volunteers Fluorescein Angiography Geographic Atrophy Middle Aged Disease Progression Diagnosis, Computer-Assisted Tomography, Optical Coherence Humans Neural Networks, Computer
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A Novel Fundus Image Reading Tool for Efficient Generation of a Multi-dimensional Categorical Image Database for Machine Learning Algorithm Training.

Journal of Korean medical science Aug 8, 2018
BACKGROUND: We described a novel multi-step retinal fundus image reading system for providing high-quality large data for machine learning algorithms, and assessed the grader variability in the large-scale dataset generated with this system.
Humans Machine Learning Republic of Korea Databases, Factual Fundus Oculi Retina
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