AIMC Topic: Neural Networks, Computer

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Learning-based classification of valence emotion from electroencephalography.

The International journal of neuroscience Jul 3, 2019
The neuroimaging research field has been revolutionized with the development of human cognitive functions without the use of brain pathways. To assist such systems, electroencephalography (EEG) based measures play an important role. In this study, th...
Signal Processing, Computer-Assisted Datasets as Topic Brain Waves Recognition, Psychology Adult Models, Theoretical Emotions Electroencephalography Humans Neural Networks, Computer Machine Learning Brain Young Adult
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Robust Associative Learning Is Sufficient to Explain the Structural and Dynamical Properties of Local Cortical Circuits.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 3, 2019
The ability of neural networks to associate successive states of network activity lies at the basis of many cognitive functions. Hence, we hypothesized that many ubiquitous structural and dynamical properties of local cortical networks result from as...
Neurons Synapses Memory Conditioning, Classical Neural Networks, Computer Models, Neurological Action Potentials Association Learning
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Deep Learning to Assess Long-term Mortality From Chest Radiographs.

JAMA network open Jul 3, 2019
IMPORTANCE: Chest radiography is the most common diagnostic imaging test in medicine and may also provide information about longevity and prognosis.
Cardiovascular Diseases Middle Aged Risk Assessment Deep Learning Humans Female Thorax Neural Networks, Computer Risk Factors Mass Screening Prognosis Aged Lung Diseases Male Clinical Trials as Topic Radiography, Thoracic
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Using Recurrent Neural Networks to Compare Movement Patterns in ADHD and Normally Developing Children Based on Acceleration Signals from the Wrist and Ankle.

Sensors (Basel, Switzerland) Jul 3, 2019
Attention deficit and hyperactivity disorder (ADHD) is a neurodevelopmental condition that affects, among other things, the movement patterns of children suffering it. Inattention, hyperactivity and impulsive behaviors, major symptoms characterizing ...
Child Wrist Acceleration Accelerometry Humans Male Movement Neural Networks, Computer Case-Control Studies Ankle Algorithms Adolescent Female Attention Deficit Disorder with Hyperactivity Wearable Electronic Devices
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Deep learning-based selection of human sperm with high DNA integrity.

Communications biology Jul 3, 2019
Despite the importance of sperm DNA to human reproduction, currently no method exists to assess individual sperm DNA quality prior to clinical selection. Traditionally, skilled clinicians select sperm based on a variety of morphological and motility ...
Chromatin DNA Spermatozoa Humans Healthy Volunteers Bayes Theorem Neural Networks, Computer Normal Distribution Semen Analysis Male Learning Curve DNA Fragmentation Deep Learning
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CMUT-based biosensor with convolutional neural network signal processing.

Ultrasonics Jul 2, 2019
The improvement of the micromachined ultrasound transducer based (CMUT) biosensor fabrication technology and signal processing, which led to higher signal to noise ratio is reported. The biosensor contains interdigitally arranged CMUT structure with ...
Cattle Biosensing Techniques Equipment Design Signal Processing, Computer-Assisted Ultrasonics Signal-To-Noise Ratio Serum Albumin, Bovine Transducers Neural Networks, Computer Algorithms Animals
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Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images-Application in Brain Proton Therapy.

International journal of radiation oncology, biology, physics Jul 2, 2019
PURPOSE: The first aim of this work is to present a novel deep convolution neural network (DCNN) multiplane approach and compare it to single-plane prediction of synthetic computed tomography (sCT) by using the real computed tomography (CT) as ground...
Technology, Radiologic Feasibility Studies Radiotherapy Planning, Computer-Assisted Head Radiotherapy Dosage Air Skull Proton Therapy Radiotherapy, Image-Guided Brain Neoplasms Magnetic Resonance Imaging Multimodal Imaging Glioblastoma Neural Networks, Computer Algorithms Tomography, X-Ray Computed Reproducibility of Results Humans
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A multimodal convolutional neuro-fuzzy network for emotion understanding of movie clips.

Neural networks : the official journal of the International Neural Network Society Jul 2, 2019
Multimodal emotion understanding enables AI systems to interpret human emotions. With accelerated video surge, emotion understanding remains challenging due to inherent data ambiguity and diversity of video content. Although deep learning has made a ...
Motion Pictures Deep Learning Fuzzy Logic Emotions Humans Photic Stimulation Neural Networks, Computer Algorithms
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Attention-enabled 3D boosted convolutional neural networks for semantic CT segmentation using deep supervision.

Physics in medicine and biology Jul 2, 2019
A deeply supervised attention-enabled boosted convolutional neural network (DAB-CNN) is presented as a superior alternative to current state-of-the-art convolutional neural networks (CNNs) for semantic CT segmentation. Spatial attention gates (AGs) w...
Male Humans Neural Networks, Computer Imaging, Three-Dimensional Algorithms Prostatic Neoplasms Tomography, X-Ray Computed Organs at Risk
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Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study.

European radiology Jul 1, 2019
OBJECTIVES: To evaluate the diagnostic performance of deep learning with the convolutional neural networks (CNN) to distinguish each representative parkinsonian disorder using MRI.
Female Aged Aged, 80 and over Adult Humans Neural Networks, Computer Retrospective Studies Proof of Concept Study Multiple System Atrophy Supranuclear Palsy, Progressive Magnetic Resonance Imaging Parkinson Disease Diagnosis, Differential Male Parkinsonian Disorders Middle Aged Deep Learning ROC Curve
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