AIMC Topic: Deep Learning

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Deep Learning for Automated Sorting of Retinal Photographs.

Ophthalmology. Retina Mar 17, 2020
PURPOSE: Though the domain of big data and artificial intelligence in health care continues to evolve, there is a lack of systemic methods to improve data quality and streamline the preparation process. To address this, we aimed to develop an automat...
Retinal Diseases Deep Learning Retina Image Interpretation, Computer-Assisted Humans Artificial Intelligence Algorithms Retrospective Studies Cross-Sectional Studies
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Computer-aided Detection of Brain Metastases in T1-weighted MRI for Stereotactic Radiosurgery Using Deep Learning Single-Shot Detectors.

Radiology Mar 17, 2020
Background Brain metastases are manually identified during stereotactic radiosurgery (SRS) treatment planning, which is time consuming and potentially challenging. Purpose To develop and investigate deep learning (DL) methods for detecting brain meta...
Humans Retrospective Studies Female Brain Neoplasms Male Radiosurgery Imaging, Three-Dimensional Middle Aged Contrast Media Diagnosis, Computer-Assisted Magnetic Resonance Imaging Deep Learning
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Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm.

Sensors (Basel, Switzerland) Mar 17, 2020
The detection of objects concealed under people's clothing is a very challenging task, which has crucial applications for security. When testing the human body for metal contraband, the concealed targets are usually small in size and are required to ...
Security Measures Metals Sensitivity and Specificity Humans Weapons Safety Management Limit of Detection Deep Learning Neural Networks, Computer Feasibility Studies Computer Systems Electromagnetic Phenomena Image Interpretation, Computer-Assisted Algorithms Datasets as Topic Clothing Crime
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MethylNet: an automated and modular deep learning approach for DNA methylation analysis.

BMC bioinformatics Mar 17, 2020
BACKGROUND: DNA methylation (DNAm) is an epigenetic regulator of gene expression programs that can be altered by environmental exposures, aging, and in pathogenesis. Traditional analyses that associate DNAm alterations with phenotypes suffer from mul...
CpG Islands Deep Learning User-Computer Interface DNA Methylation Humans Aging Neoplasms
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Energy-based graph convolutional networks for scoring protein docking models.

Proteins Mar 16, 2020
Structural information about protein-protein interactions, often missing at the interactome scale, is important for mechanistic understanding of cells and rational discovery of therapeutics. Protein docking provides a computational alternative for su...
Computer Graphics Protein Interaction Mapping Protein Multimerization Ligands Binding Sites Thermodynamics Protein Conformation, beta-Strand Protein Interaction Domains and Motifs Structural Homology, Protein Protein Conformation, alpha-Helical Molecular Docking Simulation Deep Learning Protein Binding Proteins Benchmarking Amino Acid Sequence Software Research Design Peptides Humans
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Robust Classification of High-Dimensional Spectroscopy Data Using Deep Learning and Data Synthesis.

Journal of chemical information and modeling Mar 16, 2020
This paper presents a new approach to classification of high-dimensional spectroscopy data and demonstrates that it outperforms other current state-of-the art approaches. The specific task we consider is identifying whether samples contain chlorinate...
Neural Networks, Computer Algorithms Deep Learning Spectrum Analysis
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Automatic Seizure Detection using Fully Convolutional Nested LSTM.

International journal of neural systems Mar 16, 2020
The automatic seizure detection system can effectively help doctors to monitor and diagnose epilepsy thus reducing their workload. Many outstanding studies have given good results in the two-class seizure detection problems, but most of them are base...
Signal Processing, Computer-Assisted Cerebral Cortex Humans Sensitivity and Specificity Electroencephalography Seizures Deep Learning Models, Theoretical
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Academic Emotion Classification and Recognition Method for Large-scale Online Learning Environment-Based on A-CNN and LSTM-ATT Deep Learning Pipeline Method.

International journal of environmental research and public health Mar 16, 2020
Subjective well-being is a comprehensive psychological indicator for measuring quality of life. Studies have found that emotional measurement methods and measurement accuracy are important for well-being-related research. Academic emotion is an emoti...
Humans Emotions Neural Networks, Computer Attention Internet Education, Distance Quality of Life Deep Learning
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Deep-learning- and pharmacophore-based prediction of RAGE inhibitors.

Physical biology Mar 16, 2020
The receptor for advanced glycation end products (RAGE) has been identified as a therapeutic target in a host of pathological diseases, including Alzheimer's disease. RAGE is a target with no crystallographic data on inhibitors in complex with RAGE, ...
Receptor for Advanced Glycation End Products Deep Learning Humans Models, Molecular Software Small Molecule Libraries
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Novel deep neural network based pattern field classification architectures.

Neural networks : the official journal of the International Neural Network Society Mar 14, 2020
Field classification is a new extension of traditional classification frameworks that attempts to utilize consistent information from a group of samples (termed fields). By forgoing the independent identically distributed (i.i.d.) assumption, field c...
Humans Neural Networks, Computer Bayes Theorem Pattern Recognition, Automated Biometric Identification Handwriting Machine Learning Algorithms Deep Learning
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