AIMC Topic: Machine Learning

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WHERE WILL AI TAKE US? Westworld triggers reflections about radiology's future.

Minnesota medicine Mar 1, 2017
Minnesota Societies, Medical Artificial Intelligence Machine Learning Forecasting Research Design Electronic Health Records Radiology Image Interpretation, Computer-Assisted Humans
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MACHINE LEARNING Smarter than 21 dermatologists.

Hospitals & health networks Mar 1, 2017
Machine Learning Skin Neoplasms Clinical Competence Diagnosis, Differential Humans Dermatologists California
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Predicting the perception of performed dynamics in music audio with ensemble learning.

The Journal of the Acoustical Society of America Mar 1, 2017
By varying the dynamics in a musical performance, the musician can convey structure and different expressions. Spectral properties of most musical instruments change in a complex way with the performed dynamics, but dedicated audio features for model...
Time Perception Reproducibility of Results Sound Spectrography Judgment Humans Loudness Perception Acoustic Stimulation Music Time Factors Models, Psychological Periodicity Pitch Perception Signal Processing, Computer-Assisted Auditory Perception Acoustics Machine Learning Computer Simulation
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Restoring speech following total removal of the larynx by a learned transformation from sensor data to acoustics.

The Journal of the Acoustical Society of America Mar 1, 2017
Total removal of the larynx may be required to treat laryngeal cancer: speech is lost. This article shows that it may be possible to restore speech by sensing movement of the remaining speech articulators and use machine learning algorithms to derive...
Voice Quality Larynx, Artificial Speech Acoustics Humans Acoustics Magnetic Fields Laryngectomy Machine Learning Sound Spectrography Magnetics Biomechanical Phenomena Transducers Tongue Recovery of Function Speech Intelligibility Time Factors Magnets Lip Signal Processing, Computer-Assisted Prosthesis Design
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Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners.

The Journal of the Acoustical Society of America Mar 1, 2017
Machine-learning based approaches to speech enhancement have recently shown great promise for improving speech intelligibility for hearing-impaired listeners. Here, the performance of three machine-learning algorithms and one classical algorithm, Wie...
Humans Neural Networks, Computer Machine Learning Female Aged Hearing Aids Hearing Loss Signal Processing, Computer-Assisted Persons with Hearing Disabilities Male Recognition, Psychology Acoustic Stimulation Speech Perception Middle Aged Audiometry, Speech Electric Stimulation Noise Perceptual Masking Speech Intelligibility
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Automatic Gleason grading of prostate cancer using quantitative phase imaging and machine learning.

Journal of biomedical optics Mar 1, 2017
We present an approach for automatic diagnosis of tissue biopsies. Our methodology consists of a quantitative phase imaging tissue scanner and machine learning algorithms to process these data. We illustrate the performance by automatic Gleason gradi...
Prostatic Neoplasms Neoplasm Grading Biopsy Machine Learning Algorithms Male Humans
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Using life's digital detritus to feed discovery.

The lancet. Psychiatry Mar 1, 2017
Machine Learning Psychiatry Risk Factors Mental Health Humans Social Media Early Diagnosis
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Improving CCTA-based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation.

Medical physics Mar 1, 2017
PURPOSE: The goal of this study was to assess the potential added benefit of accounting for partial volume effects (PVE) in an automatic coronary lumen segmentation algorithm that is used to determine the hemodynamic significance of a coronary artery...
Computed Tomography Angiography ROC Curve Imaging, Three-Dimensional Models, Cardiovascular Area Under Curve Coronary Stenosis Coronary Angiography Datasets as Topic Machine Learning Coronary Vessels Software Humans Pattern Recognition, Automated Retrospective Studies Hemodynamics
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Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks.

Bioinformatics (Oxford, England) Mar 1, 2017
MOTIVATION: Capturing long-range interactions between structural but not sequence neighbors of proteins is a long-standing challenging problem in bioinformatics. Recently, long short-term memory (LSTM) networks have significantly improved the accurac...
Neural Networks, Computer Proteins Machine Learning Algorithms Caspases Computational Biology Protein Conformation Genetic Diseases, Inborn
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GENIUS: web server to predict local gene networks and key genes for biological functions.

Bioinformatics (Oxford, England) Mar 1, 2017
SUMMARY: GENIUS is a user-friendly web server that uses a novel machine learning algorithm to infer functional gene networks focused on specific genes and experimental conditions that are relevant to biological functions of interest. These functions ...
Machine Learning Software Gene Regulatory Networks Arabidopsis
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