AIMC Topic: Image Processing, Computer-Assisted

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Multi-material decomposition of spectral CT images via Fully Convolutional DenseNets.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Spectral computed tomography (CT) has the capability to resolve the energy levels of incident photons, which has the potential to distinguish different material compositions. Although material decomposition methods based on x-ray attenuat...
Calibration Deep Learning Signal-To-Noise Ratio Photons Image Processing, Computer-Assisted Mice Tomography, X-Ray Computed Radiography, Dual-Energy Scanned Projection Animals
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Iterative image reconstruction for sparse-view CT via total variation regularization and dictionary learning.

Journal of X-ray science and technology Jan 1, 2019
Recently, low-dose computed tomography (CT) has become highly desirable due to the increasing attention paid to the potential risks of excessive radiation of the regular dose CT. However, ensuring image quality while reducing the radiation dose in th...
Least-Squares Analysis Machine Learning Tomography, X-Ray Computed Radiation Dosage Image Processing, Computer-Assisted Phantoms, Imaging Algorithms
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Reduced iteration image reconstruction of incomplete projection CT using regularization strategy through Lp norm dictionary learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: For sparse and limited angle projection Computed Tomography (CT), the reconstructed image usually suffers from considerable artifacts due to undersampled data.
Phantoms, Imaging Image Processing, Computer-Assisted Machine Learning Artifacts Algorithms Signal-To-Noise Ratio Tomography, X-Ray Computed
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A hierarchically trained generative network for robust facial symmetrization.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2019
Face symmetrization has extensive applications in both medical and academic fields, such as facial disorder diagnosis. Human face possesses an important characteristic, which is as known as symmetry. However, in many scenarios, the perfect symmetry d...
Face Paralysis Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Humans
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Artificial Intelligence and Radiology in Singapore: Championing a New Age of Augmented Imaging for Unsurpassed Patient Care.

Annals of the Academy of Medicine, Singapore Jan 1, 2019
Artificial intelligence (AI) has been positioned as being the most important recent advancement in radiology, if not the most potentially disruptive. Singapore radiologists have been quick to embrace this technology as part of the natural progression...
Humans Singapore Societies, Medical Image Processing, Computer-Assisted Neural Networks, Computer Radiology Artificial Intelligence Machine Learning
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Deep Learning in Medicine. Are We Ready?

Annals of the Academy of Medicine, Singapore Jan 1, 2019
Triage Referral and Consultation Image Processing, Computer-Assisted Mass Screening Diabetic Retinopathy Artificial Intelligence Humans Machine Learning Melanoma Skin Neoplasms Deep Learning
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Vision-referential speech enhancement of an audio signal using mask information captured as visual data.

The Journal of the Acoustical Society of America Jan 1, 2019
This paper describes a vision-referential speech enhancement of an audio signal using mask information captured as visual data. Smartphones and tablet devices have become popular in recent years. Most of them not only have a microphone but also a cam...
Signal-To-Noise Ratio Speech Perception Female Adult Male Image Processing, Computer-Assisted Natural Language Processing Speech Recognition Software Humans
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Machine learning in multiexposure laser speckle contrast imaging can replace conventional laser Doppler flowmetry.

Journal of biomedical optics Jan 1, 2019
Laser speckle contrast imaging (LSCI) enables video rate imaging of blood flow. However, its relation to tissue blood perfusion is nonlinear and depends strongly on exposure time. By contrast, the perfusion estimate from the slower laser Doppler flow...
Humans Neural Networks, Computer Machine Learning Male Image Processing, Computer-Assisted Models, Statistical Computer Simulation Reproducibility of Results Adult Monte Carlo Method Blood Flow Velocity Laser-Doppler Flowmetry Stochastic Processes Microcirculation Regional Blood Flow Erythrocytes Perfusion Lasers Calibration
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Deep learning in imaging.

Nature methods Jan 1, 2019
Deep Learning Image Processing, Computer-Assisted Microscopy, Fluorescence
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Personal Computer-Based Cephalometric Landmark Detection With Deep Learning, Using Cephalograms on the Internet.

The Journal of craniofacial surgery Jan 1, 2019
BACKGROUND: Cephalometric analysis has long been, and still is one of the most important tools in evaluating craniomaxillofacial skeletal profile. To perform this, manual tracing of x-ray film and plotting landmarks have been required. This procedure...
Humans Reproducibility of Results Deep Learning Cephalometry Image Processing, Computer-Assisted Internet Radiography Microcomputers Anatomic Landmarks
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