AIMC Topic: Humans

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A structure-time parallel implementation of spike-based deep learning.

Neural networks : the official journal of the International Neural Network Society Feb 4, 2019
Motivated by the recent progress of deep spiking neural networks (SNNs), we propose a structure-time parallel strategy based on layered structure and one-time computation over a time window to speed up the prominent spike-based deep learning algorith...
Pattern Recognition, Automated Animals Visual Perception Deep Learning Time Factors Humans Neural Networks, Computer Algorithms
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SAR study on inhibitors of GIIA secreted phospholipase A using machine learning methods.

Chemical biology & drug design Feb 4, 2019
GIIA secreted phospholipase A (GIIA sPLA ) is a potent target for drug discovery. To distinguish the activity level of the inhibitors of GIIA sPLA , we built 24 classification models by three machine learning algorithms including support vector machi...
Humans Principal Component Analysis Cluster Analysis Enzyme Inhibitors Machine Learning Structure-Activity Relationship Group II Phospholipases A2
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Evaluating sociotechnical dynamics in a simulated remotely-piloted aircraft system: a layered dynamics approach.

Ergonomics Feb 4, 2019
As coordination mechanisms change and technology failures occur, a sociotechnical system must reorganise itself across human and technological layers to maintain effectiveness. We present a study examining reorganisation across communication, control...
Students Adolescent Universities Robotics Young Adult Adult Male Ergonomics Man-Machine Systems Pilots Systems Analysis Computer Simulation Aircraft Female Arizona Task Performance and Analysis Humans Technology
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Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound.

Head & neck Feb 4, 2019
BACKGROUND: We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ultrasound (US) and compared the diagnostic performance of CNN with that of experienced radiologists.
Area Under Curve Neoplasm Staging Observer Variation Ultrasonography, Doppler ROC Curve Image Processing, Computer-Assisted Neoplasm Invasiveness Adult Sensitivity and Specificity Male Thyroid Neoplasms Thyroid Nodule Middle Aged Cohort Studies Neural Networks, Computer Databases, Factual Retrospective Studies Female Humans
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Machine learning algorithms for predicting scapular kinematics.

Medical engineering & physics Feb 4, 2019
The goal of this study was to develop and validate a non-invasive approach to estimate scapular kinematics in individual patients. We hypothesized that machine learning algorithms could be developed using motion capture data to accurately estimate dy...
Humans Movement Scapula Fluoroscopy Biomechanical Phenomena Healthy Volunteers Machine Learning Imaging, Three-Dimensional Mechanical Phenomena Adult
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Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas.

Journal of cancer research and clinical oncology Feb 4, 2019
PURPOSE: Reliable and accurate predictive models are necessary to drive the success of radiomics. Our aim was to identify the optimal radiomics-based machine learning method for isocitrate dehydrogenase (IDH) genotype prediction in diffuse gliomas.
Adolescent Humans Adult Genotype Machine Learning Brain Neoplasms Glioma Female Aged Male Isocitrate Dehydrogenase Aged, 80 and over Magnetic Resonance Imaging Middle Aged Young Adult Image Interpretation, Computer-Assisted
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A Brain-Robot Interaction System by Fusing Human and Machine Intelligence.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 4, 2019
This paper presents a new brain-robot interaction system by fusing human and machine intelligence to improve the real-time control performance. This system consists of a hybrid P300 and steady-state visual evoked potential (SSVEP) mode conveying a hu...
Event-Related Potentials, P300 Evoked Potentials, Somatosensory Image Processing, Computer-Assisted Fuzzy Logic Humans Robotics Artificial Intelligence Brain-Computer Interfaces Electroencephalography Algorithms Vision, Ocular Intelligence
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An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets.

Medical physics Feb 4, 2019
PURPOSE: Accurate segmentation of the breast is required for breast density estimation and the assessment of background parenchymal enhancement, both of which have been shown to be related to breast cancer risk. The MRI breast segmentation task is ch...
Female Breast Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms Adipose Tissue Breast Breast Density
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Skin Sensitization Testing-What's Next?

International journal of molecular sciences Feb 4, 2019
There is an increasing demand for alternative in vitro methods to replace animal testing, and, to succeed, new methods are required to be at least as accurate as existing in vivo tests. However, skin sensitization is a complex process requiring coord...
Humans Machine Learning Hypersensitivity, Delayed Genomics Hypersensitivity, Immediate Skin Tests
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Neurodevelopmental heterogeneity and computational approaches for understanding autism.

Translational psychiatry Feb 4, 2019
In recent years, the emerging field of computational psychiatry has impelled the use of machine learning models as a means to further understand the pathogenesis of multiple clinical disorders. In this paper, we discuss how autism spectrum disorder (...
Humans Models, Theoretical Machine Learning Autism Spectrum Disorder Comorbidity
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