AIMC Topic: Computer Simulation
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[Segmentation, Classification, and High Resolution of Image by Machine Learning].
Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics
Jan 1, 2016
The history and future of neural modeling for cochlear implants.
Network (Bristol, England)
Jan 1, 2016
This special issue of Network: Computation in Neural Systems on the topic of "Computational models of the electrically stimulated auditory system" incorporates review articles spanning a wide range of approaches to modeling cochlear implant stimulati...
Haptic Neurorehabilitation and Virtual Reality for Upper Limb Paralysis: A Review.
Critical reviews in biomedical engineering
Jan 1, 2016
Motor and sensory loss or dysfunction affects the quality of life for thousands of individuals daily. The upper limb, and especially the hand, are important for a person's ability to complete activities of daily living. Traditional therapy methods fo...
Comparison of Knowledge-based Iterative Model Reconstruction and Hybrid Reconstruction Techniques for Liver CT Evaluation of Hypervascular Hepatocellular Carcinoma.
Journal of computer assisted tomography
Jan 1, 2016
OBJECTIVE: The purpose of this work was to evaluate the image quality, lesion conspicuity, and dose reduction provided by knowledge-based iterative model reconstruction (IMR) in computed tomography (CT) of the liver compared with hybrid iterative rec...
Middle Aged
Liver Neoplasms
Carcinoma, Hepatocellular
Liver
Adult
Sensitivity and Specificity
Male
Neovascularization, Pathologic
Pattern Recognition, Automated
Multidetector Computed Tomography
Radiographic Image Enhancement
Radiographic Image Interpretation, Computer-Assisted
Models, Biological
Knowledge Bases
Reproducibility of Results
Republic of Korea
Machine Learning
Humans
Aged
Female
Algorithms
Computer Simulation
Science beyond fiction. A revolution of knowledge transfer in research, education, and practice is on the horizon.
International journal of computerized dentistry
Jan 1, 2016
"Digitality" (as opposed to "digitalization"--the conversion from the analog domain to the digital domain) will open up a whole new world that does not originate from the analog world. Contemporary research in the field of neural concepts and neuromo...
5-Year Trends in QSAR and its Machine Learning Methods.
Current computer-aided drug design
Jan 1, 2016
BACKGROUND: Quantitative Structure-Activity Relationships (QSAR) is a well-established branch of computational chemistry. The presence of QSAR papers is decreasing for the last few years.
Fast particle characterization using digital holography and neural networks.
Applied optics
Jan 1, 2016
We propose using a neural network approach in conjunction with digital holographic microscopy in order to rapidly determine relevant parameters such as the core and shell diameter of coated, non-absorbing spheres. We do so without requiring a time-co...
Artificial Neural Network Analysis of Pharmacokinetic and Toxicity Properties of Lead Molecules for Dengue Fever, Tuberculosis and Malaria.
Current computer-aided drug design
Jan 1, 2016
Poor pharmacokinetic and toxicity profiles are major reasons for the low rate of advancing lead drug candidates into efficacy studies. The In-silico prediction of primary pharmacokinetic and toxicity properties in the drug discovery and development p...
Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing.
IEEE transactions on pattern analysis and machine intelligence
Jan 1, 2016
Human parsing, namely partitioning the human body into semantic regions, has drawn much attention recently for its wide applications in human-centric analysis. Previous works often consider solving the problem of human pose estimation as the prerequi...
Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding.
IEEE transactions on pattern analysis and machine intelligence
Jan 1, 2016
Recent trends in image understanding have pushed for scene understanding models that jointly reason about various tasks such as object detection, scene recognition, shape analysis, contextual reasoning, and local appearance based classifiers. In this...
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