AIMC Topic: Humans

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PTSD and its dissociative subtype through the lens of the insula: Anterior and posterior insula resting-state functional connectivity and its predictive validity using machine learning.

Psychophysiology Sep 10, 2019
Individuals with post-traumatic stress disorder (PTSD) typically experience states of reliving and hypervigilance; however, the dissociative subtype of PTSD (PTSD+DS) presents with additional symptoms of depersonalization and derealization. Although ...
Dissociative Disorders Depersonalization Male Middle Aged Stress Disorders, Post-Traumatic Humans Machine Learning Female Magnetic Resonance Imaging Reproducibility of Results Cerebral Cortex Adult Connectome
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PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks.

Medical image analysis Sep 10, 2019
Accurate direct estimation of the left ventricle (LV) multitype indices from two-dimensional (2D) echocardiograms of paired apical views, i.e., paired apical four-chamber (A4C) and two-chamber (A2C), is of great significance to clinically evaluate ca...
Heart Ventricles Humans Image Enhancement Neural Networks, Computer Echocardiography
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Injecting and removing suspicious features in breast imaging with CycleGAN: A pilot study of automated adversarial attacks using neural networks on small images.

European journal of radiology Sep 10, 2019
PURPOSE: To train a CycleGAN on downscaled versions of mammographic data to artificially inject or remove suspicious features, and to determine whether these AI-mediated attacks can be detected by radiologists.
Breast Image Interpretation, Computer-Assisted Mammography Area Under Curve Radiologists Neural Networks, Computer Female Breast Neoplasms Case-Control Studies Pilot Projects ROC Curve Humans
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From Target to Drug: Generative Modeling for the Multimodal Structure-Based Ligand Design.

Molecular pharmaceutics Sep 10, 2019
Chemical space is impractically large, and conventional structure-based virtual screening techniques cannot be used to simply search through the entire space to discover effective bioactive molecules. To address this shortcoming, we propose a generat...
Neural Networks, Computer Drug Design Drug Discovery Humans Molecular Conformation Quantitative Structure-Activity Relationship Small Molecule Libraries Proteins Models, Chemical Ligands
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Superior skin cancer classification by the combination of human and artificial intelligence.

European journal of cancer (Oxford, England : 1990) Sep 10, 2019
BACKGROUND: In recent studies, convolutional neural networks (CNNs) outperformed dermatologists in distinguishing dermoscopic images of melanoma and nevi. In these studies, dermatologists and artificial intelligence were considered as opponents. Howe...
Dermatologists Image Interpretation, Computer-Assisted Observer Variation Neural Networks, Computer Algorithms Prognosis Humans Skin Neoplasms Dermoscopy Deep Learning
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LDAPred: A Method Based on Information Flow Propagation and a Convolutional Neural Network for the Prediction of Disease-Associated lncRNAs.

International journal of molecular sciences Sep 10, 2019
Long non-coding RNAs (lncRNAs) play a crucial role in the pathogenesis and development of complex diseases. Predicting potential lncRNA-disease associations can improve our understanding of the molecular mechanisms of human diseases and help identify...
Humans Neural Networks, Computer Algorithms Genetic Predisposition to Disease Computational Biology MicroRNAs Reproducibility of Results Sensitivity and Specificity Neoplasms RNA, Long Noncoding
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Machine learning in psychiatry- standards and guidelines.

Asian journal of psychiatry Sep 10, 2019
Editorial Policies Biomedical Research Data Interpretation, Statistical Artificial Intelligence Machine Learning Publishing Humans Psychiatry Publications
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Supervised classification approach of biometric measures for automatic fetal defect screening in head ultrasound images.

Journal of medical engineering & technology Sep 10, 2019
This paper presents an advanced approach for foetal brain abnormalities diagnostic by integrating significant biometric features in the identification process. In foetal anomaly diagnosis, manual evaluation of foetal behaviour in ultrasound images is...
Head Ultrasonography Humans Biometry Fetus Image Processing, Computer-Assisted Databases, Factual Gestational Age Support Vector Machine Prenatal Diagnosis Brain
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Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependence.

Neural networks : the official journal of the International Neural Network Society Sep 9, 2019
This paper presents a novel adaptive resonance theory (ART)-based modular architecture for unsupervised learning, namely the distributed dual vigilance fuzzy ART (DDVFA). DDVFA consists of a global ART system whose nodes are local fuzzy ART modules. ...
Algorithms Brain Deep Learning Humans Electroencephalography Fuzzy Logic Cluster Analysis Unsupervised Machine Learning
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Recognition of words from brain-generated signals of speech-impaired people: Application of autoencoders as a neural Turing machine controller in deep neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 9, 2019
There is an essential requirement to support people with speech and communication disabilities. A brain-computer interface using electroencephalography (EEG) is applied to satisfy this requirement. A number of research studies to recognize brain sign...
Brain Deep Learning Electroencephalography Brain-Computer Interfaces Speech Recognition Software Speech Disorders Humans Neural Networks, Computer
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