AIMC Topic: Deep Learning

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Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: To conduct a systematic review of deep learning models for electronic health record (EHR) data, and illustrate various deep learning architectures for analyzing different data sources and their target applications. We also highlight ongoin...
Data Anonymization Disease Electronic Health Records Deep Learning Humans Neural Networks, Computer Prognosis
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Efficiency Improvement in a Busy Radiology Practice: Determination of Musculoskeletal Magnetic Resonance Imaging Protocol Using Deep-Learning Convolutional Neural Networks.

Journal of digital imaging Oct 1, 2018
The purposes of this study are to evaluate the feasibility of protocol determination with a convolutional neural networks (CNN) classifier based on short-text classification and to evaluate the agreements by comparing protocols determined by CNN with...
Deep Learning Magnetic Resonance Imaging Workflow Male Middle Aged Musculoskeletal Diseases Musculoskeletal System Feasibility Studies Efficiency, Organizational Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Databases, Factual Female Sensitivity and Specificity Humans
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An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation.

Journal of digital imaging Oct 1, 2018
Image segmentation is one of the most common steps in digital image processing, classifying a digital image into different segments. The main goal of this paper is to segment brain tumors in magnetic resonance images (MRI) using deep learning. Tumors...
Humans Deep Learning Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Algorithms Brain Neural Networks, Computer Brain Neoplasms Machine Learning
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Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality.

Neuroinformatics Oct 1, 2018
Recently released large-scale neuron morphological data has greatly facilitated the research in neuroinformatics. However, the sheer volume and complexity of these data pose significant challenges for efficient and accurate neuron exploration. In thi...
Neurons Random Allocation Deep Learning Imaging, Three-Dimensional Humans Neural Networks, Computer Databases, Factual
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Learning Efficient Spatial-Temporal Gait Features with Deep Learning for Human Identification.

Neuroinformatics Oct 1, 2018
The integration of the latest breakthroughs in bioinformatics technology from one side and artificial intelligence from another side, enables remarkable advances in the fields of intelligent security guard computational biology, healthcare, and so on...
Humans Gait Pattern Recognition, Automated Spatial Behavior Neural Networks, Computer Deep Learning Time Factors
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On Deep Learning for Medical Image Analysis.

JAMA Sep 18, 2018
Image Processing, Computer-Assisted Diagnostic Imaging History, 20th Century Neural Networks, Computer Machine Learning Deep Learning
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Automatic classification of grouper species by their sounds using deep neural networks.

The Journal of the Acoustical Society of America Sep 1, 2018
In this paper, the effectiveness of deep learning for automatic classification of grouper species by their vocalizations has been investigated. In the proposed approach, wavelet denoising is used to reduce ambient ocean noise, and a deep neural netwo...
Vocalization, Animal Deep Learning Sound Fishes Neural Networks, Computer Animals
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A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions.

The Journal of the Acoustical Society of America Sep 1, 2018
Recently, deep learning based speech segregation has been shown to improve human speech intelligibility in noisy environments. However, one important factor not yet considered is room reverberation, which characterizes typical daily environments. The...
Middle Aged Deep Learning Noise Young Adult Humans Perceptual Masking Male Speech Intelligibility Algorithms Hearing Aids Female Hearing Loss, Sensorineural Aged
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Predicting protein-protein interactions through sequence-based deep learning.

Bioinformatics (Oxford, England) Sep 1, 2018
MOTIVATION: High-throughput experimental techniques have produced a large amount of protein-protein interaction (PPI) data, but their coverage is still low and the PPI data is also very noisy. Computational prediction of PPIs can be used to discover ...
Area Under Curve Humans Protein Interaction Mapping Software Protein Binding Mice Animals Proteins Deep Learning
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A deep neural network approach for learning intrinsic protein-RNA binding preferences.

Bioinformatics (Oxford, England) Sep 1, 2018
MOTIVATION: The complexes formed by binding of proteins to RNAs play key roles in many biological processes, such as splicing, gene expression regulation, translation and viral replication. Understanding protein-RNA binding may thus provide important...
Neural Networks, Computer Software Deep Learning RNA-Binding Proteins RNA
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