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Use of a Neural Net to Model the Impact of Optical Coherence Tomography Abnormalities on Vision in Age-related Macular Degeneration.

American journal of ophthalmology Oct 31, 2017
PURPOSE: To develop a neural network for the estimation of visual acuity from optical coherence tomography (OCT) images of patients with neovascular age-related macular degeneration (AMD) and to demonstrate its use to model the impact of specific con...
Humans Neural Networks, Computer Wet Macular Degeneration Retrospective Studies Fundus Oculi Fluorescein Angiography Macula Lutea Male Middle Aged Visual Acuity Tomography, Optical Coherence Female Reproducibility of Results Aged
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Importance of Better Human-Computer Interaction in the Era of Deep Learning: Mammography Computer-Aided Diagnosis as a Use Case.

Journal of the American College of Radiology : JACR Oct 31, 2017
Algorithms Female Humans Machine Learning Mammography Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms Diagnosis, Computer-Assisted
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Development of a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System for diabetes diagnosis.

Computers in biology and medicine Oct 31, 2017
The early diagnosis of disease is critical to preventing the occurrence of severe complications. Diabetes is a serious health problem. A variety of methods have been developed for diagnosing diabetes. The majority of these methods have been developed...
(1)
Diagnosis, Computer-Assisted Algorithms Humans Diabetes Mellitus Databases, Factual Fuzzy Logic Machine Learning
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Parallel Distributed Processing Theory in the Age of Deep Networks.

Trends in cognitive sciences Oct 31, 2017
Parallel distributed processing (PDP) models in psychology are the precursors of deep networks used in computer science. However, only PDP models are associated with two core psychological claims, namely that all knowledge is coded in a distributed f...
Cognition Models, Psychological Linguistics Humans Neural Networks, Computer
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De novo prediction of human chromosome structures: Epigenetic marking patterns encode genome architecture.

Proceedings of the National Academy of Sciences of the United States of America Oct 31, 2017
Inside the cell nucleus, genomes fold into organized structures that are characteristic of cell type. Here, we show that this chromatin architecture can be predicted de novo using epigenetic data derived from chromatin immunoprecipitation-sequencing ...
Molecular Conformation Thermodynamics Phase Transition In Situ Hybridization, Fluorescence Cell Nucleus Genome, Human Chromatin Chromosomes, Human Animals Epigenesis, Genetic Humans Neural Networks, Computer
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Design and Computational Modeling of a Modular, Compliant Robotic Assembly for Human Lumbar Unit and Spinal Cord Assistance.

Scientific reports Oct 31, 2017
Wearable soft robotic systems are enabling safer human-robot interaction and are proving to be instrumental for biomedical rehabilitation. In this manuscript, we propose a novel, modular, wearable robotic device for human (lumbar) spine assistance th...
Self-Help Devices Weight-Bearing Rehabilitation Movement Spinal Cord Diseases Finite Element Analysis Nonlinear Dynamics Range of Motion, Articular Biomechanical Phenomena Vacuum Wearable Electronic Devices Robotics Models, Biological Materials Testing Equipment Design Lumbar Vertebrae Humans Computer Simulation
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High-accuracy automatic classification of Parkinsonian tremor severity using machine learning method.

Physiological measurement Oct 31, 2017
MOTIVATION: Although clinical aspirations for new technology to accurately measure and diagnose Parkinsonian tremors exist, automatic scoring of tremor severity using machine learning approaches has not yet been employed.
Female Aged Male Wearable Electronic Devices Humans Machine Learning Acceleration Automation Rest Posture Tremor Parkinson Disease Signal Processing, Computer-Assisted
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Dendrites, deep learning, and sequences in the hippocampus.

Hippocampus Oct 30, 2017
The hippocampus places us both in time and space. It does so over remarkably large spans: milliseconds to years, and centimeters to kilometers. This works for sensory representations, for memory, and for behavioral context. How does it fit in such wi...
(1)
Dendrites Humans Animals Models, Neurological Hippocampus Deep Learning Cognition
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Structured Penalized Logistic Regression for Gene Selection in Gene Expression Data Analysis.

IEEE/ACM transactions on computational biology and bioinformatics Oct 30, 2017
In gene expression data analysis, the problems of cancer classification and gene selection are closely related. Successfully selecting informative genes will significantly improve the classification performance. To identify informative genes from a l...
Logistic Models Databases, Genetic Gene Expression Profiling Cluster Analysis Humans Transcriptome Machine Learning Computational Biology Neoplasms
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Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRI.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Oct 30, 2017
Accurate quantification of uptake on PET images depends on accurate attenuation correction in reconstruction. Current MR-based attenuation correction methods for body PET use a fat and water map derived from a 2-echo Dixon MRI sequence in which bone ...
(1)
Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Tomography, Spiral Computed Magnetic Resonance Imaging Multimodal Imaging Pelvis Radiopharmaceuticals Positron-Emission Tomography Protons
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