AIMC Topic: Humans

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Development and clinical implementation of SeedNet: A sliding-window convolutional neural network for radioactive seed identification in MRI-assisted radiosurgery (MARS).

Magnetic resonance in medicine Feb 8, 2019
PURPOSE: To develop and evaluate a sliding-window convolutional neural network (CNN) for radioactive seed identification in MRI of the prostate after permanent implant brachytherapy.
Prostatic Neoplasms Prostate Brachytherapy Retrospective Studies Male Image Processing, Computer-Assisted Radiosurgery Magnetic Resonance Imaging, Interventional Neural Networks, Computer Algorithms Humans
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A unified computational framework for visual attention dynamics.

Progress in brain research Feb 8, 2019
Eye movements are an essential part of human vision as they drive the fovea and, consequently, selective visual attention toward a region of interest in space. Free visual exploration is an inherently stochastic process depending on image statistics ...
Models, Theoretical Humans Attention Neural Networks, Computer Visual Perception Eye Movements
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Clinical applications of control systems models: The neural integrators for eye movements.

Progress in brain research Feb 8, 2019
The first models that were proposed to account for the neural control of eye movements applied a classic control systems approach, including feedback, and measured system responses to sinusoidal and transient stimuli. Although such models provided ma...
Reflex, Vestibulo-Ocular Humans Cerebellum Eye Movements Neural Networks, Computer Brain Stem Models, Theoretical Animals
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New-Onset Alzheimer's Disease and Normal Subjects 100% Differentiated by P300.

American journal of Alzheimer's disease and other dementias Feb 7, 2019
Previous work has suggested that evoked potential analysis might allow the detection of subjects with new-onset Alzheimer's disease, which would be useful clinically and personally. Here, it is described how subjects with new-onset Alzheimer's diseas...
Cerebral Cortex Evoked Potentials, Auditory Event-Related Potentials, P300 Humans Models, Theoretical Neural Networks, Computer Electroencephalography Alzheimer Disease Male Cognitive Dysfunction Female Aged
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New Approaches for the Treatment of Delirium: A Case for Robotic Pets.

The American journal of medicine Feb 7, 2019
Robotics Delirium Animal Assisted Therapy Pets Male Female Middle Aged Aged Inpatients Humans Aged, 80 and over Adult Animals
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Predicting Human Saccadic Scanpaths Based on Iterative Representation Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 7, 2019
Visual attention is a dynamic process of scene exploration and information acquisition. However, existing research on attention modeling has concentrated on estimating static salient locations. In contrast, dynamic attributes presented by saccade hav...
Algorithms Databases, Factual Female Young Adult Humans Saccades Image Processing, Computer-Assisted Models, Neurological Attention Adult Male Deep Learning
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Robotic laser osteotomy through penscriptive structured light visual servoing.

International journal of computer assisted radiology and surgery Feb 7, 2019
PURPOSE: Planning osteotomies is a task that surgeons do as part of standard surgical workflow. This task, however, becomes more difficult and less intuitive when a robot is tasked with performing the osteotomy. In this study, we aim to provide a new...
Humans Robotics Phantoms, Imaging Robotic Surgical Procedures Skull Laser Therapy Osteotomy Craniotomy
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Quantifying lung ultrasound comets with a convolutional neural network: Initial clinical results.

Computers in biology and medicine Feb 7, 2019
Lung ultrasound comets are "comet-tail" artifacts appearing in lung ultrasound images. They are particularly useful in detecting several lung pathologies and may indicate the amount of extravascular lung water. However, the comets are not always well...
Extravascular Lung Water Female Aged Adult Humans Male Ultrasonography Image Interpretation, Computer-Assisted Neural Networks, Computer Middle Aged Blood Pressure Artifacts Lung
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Semi-supervised learning to improve generalizability of risk prediction models.

Journal of biomedical informatics Feb 7, 2019
The utility of a prediction model depends on its generalizability to patients drawn from different but related populations. We explored whether a semi-supervised learning model could improve the generalizability of colorectal cancer (CRC) risk predic...
Young Adult Adult Colorectal Neoplasms Diagnosis, Computer-Assisted Adolescent Female Male Survival Analysis Middle Aged Aged Risk Aged, 80 and over Humans Child Models, Statistical Prognosis Supervised Machine Learning
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The roles of supervised machine learning in systems neuroscience.

Progress in neurobiology Feb 7, 2019
Over the last several years, the use of machine learning (ML) in neuroscience has been rapidly increasing. Here, we review ML's contributions, both realized and potential, across several areas of systems neuroscience. We describe four primary roles o...
Brain Animals Supervised Machine Learning Neurosciences Humans
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