AIMC Topic:
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Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI.

Computer methods and programs in biomedicine May 16, 2019
BACKGROUND AND OBJECTIVE: We propose an automatic approach for fast vertebral body segmentation in three-dimensional magnetic resonance images of the whole spine. Previous works are limited to the lower thoracolumbar section and often take minutes to...
Humans Machine Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Spine Pattern Recognition, Automated Neural Networks, Computer Software Algorithms Reproducibility of Results
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ONCOhabitats: A system for glioblastoma heterogeneity assessment through MRI.

International journal of medical informatics May 16, 2019
BACKGROUND: Neuroimaging analysis is currently crucial for an early assessment of glioblastoma, to help improving treatment and tumor follow-up. To this end, multiple functional and morphological MRI sequences are usually employed, requiring the deve...
Humans Adult Male Middle Aged Image Processing, Computer-Assisted Magnetic Resonance Imaging Glioblastoma Neuroimaging Neural Networks, Computer Software Prognosis Retrospective Studies Female Aged Aged, 80 and over
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Evaluation of Diffusion Lesion Volume Measurements in Acute Ischemic Stroke Using Encoder-Decoder Convolutional Network.

Stroke May 16, 2019
Background and Purpose- Automatic segmentation of cerebral infarction on diffusion-weighted imaging (DWI) is typically performed based on a fixed apparent diffusion coefficient (ADC) threshold. Fixed ADC threshold methods may not be accurate because ...
Stroke Cerebral Infarction Diffusion Magnetic Resonance Imaging Neural Networks, Computer Aged Humans Software Male Female Middle Aged Registries
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DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks.

Scientific reports May 14, 2019
Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required. Recently, deep learning based methods have outperformed conventional algorithms in comput...
Pseudomonas aeruginosa Data Mining Gene Ontology Pseudomonas Infections Proteins Bacterial Proteins Models, Biological Humans Neural Networks, Computer Software Deep Learning Biofilms
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DoGNet: A deep architecture for synapse detection in multiplexed fluorescence images.

PLoS computational biology May 13, 2019
Neuronal synapses transmit electrochemical signals between cells through the coordinated action of presynaptic vesicles, ion channels, scaffolding and adapter proteins, and membrane receptors. In situ structural characterization of numerous synaptic ...
Animals Image Processing, Computer-Assisted Mice Computational Biology Neural Networks, Computer Software Databases, Factual Computer Simulation Synapses Models, Neurological Cerebral Cortex Nerve Tissue Proteins Synaptic Transmission Neurons Microscopy, Fluorescence, Multiphoton
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A new approach for arrhythmia classification using deep coded features and LSTM networks.

Computer methods and programs in biomedicine May 10, 2019
BACKGROUND AND OBJECTIVE: For diagnosis of arrhythmic heart problems, electrocardiogram (ECG) signals should be recorded and monitored. The long-term signal records obtained are analyzed by expert cardiologists. Devices such as the Holter monitor hav...
Electrocardiography Principal Component Analysis Signal Processing, Computer-Assisted Electrocardiography, Ambulatory Algorithms Arrhythmias, Cardiac Humans Databases, Factual Neural Networks, Computer Pattern Recognition, Automated Reproducibility of Results Software Data Compression Data Management
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Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital.

Applied clinical informatics May 8, 2019
BACKGROUND: Thirty-day hospital readmissions are a quality metric for health care systems. Predictive models aim to identify patients likely to readmit to more effectively target preventive strategies. Many risk of readmission models have been develo...
Humans Patient Readmission Algorithms Machine Learning Hospitals, Military Prospective Studies Software Retrospective Studies Models, Theoretical
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Is There Value for Artificial Intelligence Applications in Molecular Imaging and Nuclear Medicine?

Journal of nuclear medicine : official publication, Society of Nuclear Medicine May 3, 2019
Pattern Recognition, Automated Nuclear Medicine Humans Artificial Intelligence Software Quality of Life Algorithms Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Molecular Imaging
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Prediction of zinc-binding sites using multiple sequence profiles and machine learning methods.

Molecular omics May 2, 2019
The zinc (Zn) cofactor has been proven to be involved in numerous biological mechanisms and the zinc-binding site is recognized as one of the most important post-translation modifications in proteins. Therefore, accurate knowledge of zinc ions in pro...
Software Algorithms Amino Acid Sequence Computer Simulation Protein Conformation Protein Binding Machine Learning Zinc Binding Sites Computational Biology Protein Folding Support Vector Machine Databases, Protein
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Extracting chemical-protein interactions from biomedical literature via granular attention based recurrent neural networks.

Computer methods and programs in biomedicine Apr 30, 2019
BACKGROUND AND OBJECTIVE: The extraction of interactions between chemicals and proteins from biomedical literature is important for many biomedical tasks such as drug discovery and precision medicine. In the existing systems, the methods achieving co...
Data Mining Humans Databases, Protein Probability Neural Networks, Computer Publications Software PubMed Reproducibility of Results Deep Learning Proteins
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