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Showing 68461 to 68470 of 95995 articles
The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features.
NeuroImage
Jun 2, 2018
Individualized behavioral/cognitive prediction using machine learning (ML) regression approaches is becoming increasingly applied. The specific ML regression algorithm and sample size are two key factors that non-trivially influence prediction accura...
Characterizing the SEMG patterns with myofascial pain using a multi-scale wavelet model through machine learning approaches.
Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
Jun 2, 2018
In this paper, we introduce a newly developed multi-scale wavelet model for the interpretation of surface electromyography (SEMG) signals and validate the model's capability to characterize changes in neuromuscular activation in cases with myofascial...
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease.
Medical image analysis
Jun 2, 2018
Graphs are widely used as a natural framework that captures interactions between individual elements represented as nodes in a graph. In medical applications, specifically, nodes can represent individuals within a potentially large population (patien...
Ischemic stroke lesion segmentation using stacked sparse autoencoder.
Computers in biology and medicine
Jun 2, 2018
Automatic segmentation of ischemic stroke lesion volumes from multi-spectral Magnetic Resonance Imaging (MRI) sequences plays a vital role in quantifying and locating the lesion region. Most existing methods mainly rely on designing hand-crafted feat...
State of Robotic Mastoidectomy: Literature Review.
World neurosurgery
Jun 2, 2018
Over the past 30 years, the application of robotics in the field of neurotology has grown. Robots are able to perform increasingly complex tasks with ever improving accuracy, allowing them to be used in a broad array of applications. A mastoidectomy,...
Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards.
Artificial intelligence in medicine
Jun 2, 2018
BACKGROUND: Large amounts of patient data are routinely manually collected in hospitals by using standalone medical devices, including vital signs. Such data is sometimes stored in spreadsheets, not forming part of patients' electronic health records...
Computer-Aided Diagnosis of Anterior Segment Eye Abnormalities using Visible Wavelength Image Analysis Based Machine Learning.
Journal of medical systems
Jun 2, 2018
Eye disease is a major health problem among the elderly people. Cataract and corneal arcus are the major abnormalities that exist in the anterior segment eye region of aged people. Hence, computer-aided diagnosis of anterior segment eye abnormalities...
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition.
IEEE transactions on pattern analysis and machine intelligence
Jun 1, 2018
Heterogeneous face recognition (HFR) aims at matching facial images acquired from different sensing modalities with mission-critical applications in forensics, security and commercial sectors. However, HFR presents more challenging issues than tradit...
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation.
IEEE transactions on pattern analysis and machine intelligence
Jun 1, 2018
Accurate medical image segmentation is essential for diagnosis, surgical planning and many other applications. Convolutional Neural Networks (CNNs) have become the state-of-the-art automatic segmentation methods. However, fully automatic results may ...
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training.
IEEE transactions on medical imaging
Jun 1, 2018
To realize the full potential of deep learning for medical imaging, large annotated datasets are required for training. Such datasets are difficult to acquire due to privacy issues, lack of experts available for annotation, underrepresentation of rar...
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