AIMC Topic: Young Adult

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Emotion recognition from posed and spontaneous dynamic expressions: Human observers versus machine analysis.

Emotion (Washington, D.C.) Dec 12, 2019
The majority of research on the judgment of emotion from facial expressions has focused on deliberately posed displays, often sampled from single stimulus sets. Herein, we investigate emotion recognition from posed and spontaneous expressions, compar...
Emotions Facial Expression Recognition, Psychology Behavior Observation Techniques Female Young Adult Adult Humans Male Artificial Intelligence Adolescent
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Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal lymph node dissection.

European radiology Dec 11, 2019
OBJECTIVES: To evaluate whether a computed tomography (CT) radiomics-based machine learning classifier can predict histopathology of lymph nodes (LNs) after post-chemotherapy LN dissection (pcRPLND) in patients with metastatic non-seminomatous testic...
Adult Male Middle Aged Computational Biology Lymph Nodes Lymphatic Metastasis Testicular Neoplasms Orchiectomy Lymph Node Excision Neoplasm Staging Machine Learning Retroperitoneal Space Retrospective Studies Humans Neoplasms, Germ Cell and Embryonal Tomography, X-Ray Computed Reproducibility of Results Young Adult
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Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 10, 2019
Wearable sensors have been proposed as alternatives to traditional laboratory equipment for low-cost and portable real-time gait analysis in unconstrained environments. However, the moderate accuracy of these systems currently limits their widespread...
Algorithms Healthy Volunteers Male Humans Reproducibility of Results Support Vector Machine Foot Machine Learning Young Adult Walking Adult Orthotic Devices Gait Biomechanical Phenomena Running
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Detecting glaucoma based on spectral domain optical coherence tomography imaging of peripapillary retinal nerve fiber layer: a comparison study between hand-crafted features and deep learning model.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Dec 7, 2019
PURPOSE: To develop a deep learning (DL) model for automated detection of glaucoma and to compare diagnostic capability against hand-craft features (HCFs) based on spectral domain optical coherence tomography (SD-OCT) peripapillary retinal nerve fibe...
Humans Deep Learning Adolescent Tomography, Optical Coherence Nerve Fibers Optic Disk Young Adult Retinal Ganglion Cells Visual Fields Glaucoma Prospective Studies Adult Female Aged Intraocular Pressure Aged, 80 and over Male Middle Aged
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A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images.

European radiology Dec 6, 2019
OBJECTIVE: To develop a deep learning-based artificial intelligence (AI) scheme for predicting the likelihood of the ground-glass nodule (GGN) detected on CT images being invasive adenocarcinoma (IA) and also compare the accuracy of this AI scheme wi...
Male Middle Aged Disease Progression Deep Learning Adolescent Female Aged Aged, 80 and over Young Adult Adult Radiologists Feasibility Studies Adenocarcinoma of Lung Adenocarcinoma in Situ ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Neoplasm Invasiveness Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed
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A Bayesian Shared Control Approach for Wheelchair Robot With Brain Machine Interface.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 6, 2019
To enhance the performance of the brain-actuated robot system, a novel shared controller based on Bayesian approach is proposed for intelligently combining robot automatic control and brain-actuated control, which takes into account the uncertainty o...
Electroencephalography Psychomotor Performance Brain-Computer Interfaces Evoked Potentials, Visual Wheelchairs Evoked Potentials, Somatosensory Adult Biomechanical Phenomena Male Robotics Humans Bayes Theorem Algorithms Young Adult
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Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots.

PloS one Dec 5, 2019
Our aim was to assess the utility of a novel machine learning software (Orbit Image Analysis) in the histological quantification of acute ischemic stroke (AIS) clots. We analyzed 50 AIS blood clots retrieved using mechanical thrombectomy procedures. ...
Cohort Studies Aged, 80 and over Humans Brain Ischemia Young Adult Image Processing, Computer-Assisted Machine Learning Artifacts Adult Orbit Software Erythrocytes Male Stroke Female Middle Aged Thrombosis Aged
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Lower Body Kinematics Monitoring in Running Using Fabric-Based Wearable Sensors and Deep Convolutional Neural Networks.

Sensors (Basel, Switzerland) Dec 3, 2019
Continuous kinematic monitoring of runners is crucial to inform runners of inappropriate running habits. Motion capture systems are the gold standard for gait analysis, but they are spatially limited to laboratories. Recently, wearable sensors have g...
Monitoring, Ambulatory Hip Joint Ankle Joint Clothing Textiles Wearable Electronic Devices Equipment Design Knee Joint Reproducibility of Results Gait Humans Motion Young Adult Neural Networks, Computer Machine Learning Adult Algorithms Biomechanical Phenomena Male
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A Hierarchical Recurrent Neural Network for Symbolic Melody Generation.

IEEE transactions on cybernetics Dec 2, 2019
In recent years, neural networks have been used to generate symbolic melodies. However, the long-term structure in the melody has posed great difficulty to design a good model. In this article, we present a hierarchical recurrent neural network (HRNN...
Young Adult Adult Adolescent Music Choice Behavior Humans Neural Networks, Computer Databases, Factual Computer Simulation
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Places as fuzzy locational categories.

Acta psychologica Dec 2, 2019
This paper offers a new way of considering places as special types of categories, in human cognition of larger-scale environments. This may provide an explanatory cognitive model for a range of known phenomena from environmental psychology and human ...
Cognition Fuzzy Logic Semantics Random Allocation Memory Photic Stimulation Young Adult Humans Adult Female Aged Male Middle Aged Adolescent
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