AIMC Topic: Pattern Recognition, Automated
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Class discrepancy-guided sub-band filter-based common spatial pattern for motor imagery classification.
Journal of neuroscience methods
May 26, 2019
BACKGROUND: Motor imagery classification, an important branch of brain-computer interface (BCI), recognizes the intention of subjects to control external auxiliary equipment. Therefore, EEG-based motor imagery classification has received increasing a...
Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation.
Medical image analysis
May 25, 2019
Population imaging studies generate data for developing and implementing personalised health strategies to prevent, or more effectively treat disease. Large prospective epidemiological studies acquire imaging for pre-symptomatic populations. These st...
Robust auto-weighted projective low-rank and sparse recovery for visual representation.
Neural networks : the official journal of the International Neural Network Society
May 24, 2019
Most existing low-rank and sparse representation models cannot preserve the local manifold structures of samples adaptively, or separate the locality preservation from the coding process, which may result in the decreased performance. In this paper, ...
Extract Features from Periocular Region to Identify the Age Using Machine Learning Algorithms.
Journal of medical systems
May 22, 2019
Latest studies done on huge data collected from aging features proved that the performance of facial image based age estimation is low and need to be improved. One of the significant biometric traits for human recognition or search is Human age. Age ...
Effective Dimensionality Reduction for Visualizing Neural Dynamics by Laplacian Eigenmaps.
Neural computation
May 21, 2019
With the development of neural recording technology, it has become possible to collect activities from hundreds or even thousands of neurons simultaneously. Visualization of neural population dynamics can help neuroscientists analyze large-scale neur...
Reconstructing faces from fMRI patterns using deep generative neural networks.
Communications biology
May 21, 2019
Although distinct categories are reliably decoded from fMRI brain responses, it has proved more difficult to distinguish visually similar inputs, such as different faces. Here, we apply a recently developed deep learning system to reconstruct face im...
Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction From Raw Acceleration Data.
IEEE journal of biomedical and health informatics
May 20, 2019
PURPOSE: To evaluate and enhance the generalization performance of machine learning physical activity intensity prediction models developed with raw acceleration data on populations monitored by different activity monitors.
Brain tumor detection using statistical and machine learning method.
Computer methods and programs in biomedicine
May 17, 2019
BACKGROUND AND OBJECTIVE: Brain tumor occurs because of anomalous development of cells. It is one of the major reasons of death in adults around the globe. Millions of deaths can be prevented through early detection of brain tumor. Earlier brain tumo...
Learning Single-Cell Distances from Cytometry Data.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
May 17, 2019
Recent years have seen an increased interest in employing data analysis techniques for the automated identification of cell populations in the field of cytometry. These techniques highly depend on the use of a distance metric, a function that quantif...
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...
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