AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 891 to 900 of 1118 articles

Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation.

IEEE journal of biomedical and health informatics Dec 11, 2018
Deep learning (DL) architectures have opened new horizons in medical image analysis attaining unprecedented performance in tasks such as tissue classification and segmentation as well as prediction of several clinical outcomes. In this paper, we prop...
Deep Learning Liver Neoplasms Imaging, Three-Dimensional Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks.

IEEE journal of biomedical and health informatics Dec 10, 2018
Sleep apnea is one of the most common sleep disorders and the consequences of undiagnosed sleep apnea can be very severe, ranging from increased blood pressure to heart failure. However, many people are often unaware of their condition. The gold stan...
Humans Databases, Factual Male Neural Networks, Computer Middle Aged Signal Processing, Computer-Assisted Female Machine Learning Sleep Apnea Syndromes Monitoring, Physiologic Aged Respiratory Physiological Phenomena
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Cell Segmentation Using a Similarity Interface With a Multi-Task Convolutional Neural Network.

IEEE journal of biomedical and health informatics Dec 7, 2018
Even though convolutional neural networks (CNN) have been used for cell segmentation, they require pixel-level ground truth annotations. This paper proposes a multitask learning algorithm for cell detection and segmentation using CNNs. We use dot ann...
Animals Humans Image Processing, Computer-Assisted Cytological Techniques Neural Networks, Computer Unsupervised Machine Learning Mice HeLa Cells Algorithms CHO Cells Cricetinae Cricetulus
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Using Lexical Chains to Identify Text Difficulty: A Corpus Statistics and Classification Study.

IEEE journal of biomedical and health informatics Dec 6, 2018
Our goal is data-driven discovery of features for text simplification. In this paper, we investigate three types of lexical chains: exact, synonymous, and semantic. A lexical chain links semantically related words in a document. We examine their pote...
Databases, Factual Semantics Consumer Health Information Natural Language Processing Logistic Models Bayes Theorem Support Vector Machine Medical Informatics Decision Trees
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Correlation-Aware Sparse and Low-Rank Constrained Multi-Task Learning for Longitudinal Analysis of Alzheimer's Disease.

IEEE journal of biomedical and health informatics Dec 6, 2018
Alzheimer's disease (AD), as a severe neurodegenerative disease, is now attracting more and more researchers' attention in the healthcare. With the development of magnetic resonance imaging (MRI), the neuroimaging-based longitudinal analysis is gradu...
Neuroimaging Male Alzheimer Disease Image Interpretation, Computer-Assisted Humans Aged Machine Learning Aged, 80 and over Algorithms Female
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Bidirectional Recurrent Auto-Encoder for Photoplethysmogram Denoising.

IEEE journal of biomedical and health informatics Dec 5, 2018
Photoplethysmography (PPG) has become ubiquitous with the development of smart watches and the mobile healthcare market. However, PPG is vulnerable to various types of noises that are ever present in uncontrolled environments, and the key to obtainin...
Algorithms Databases, Factual Young Adult Humans Neural Networks, Computer Electrocardiography Signal Processing, Computer-Assisted Adult Male Photoplethysmography
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Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT.

IEEE journal of biomedical and health informatics Dec 5, 2018
BACKGROUND: Deep learning has been recently applied to a multitude of computer vision and medical image analysis problems. Although recent research efforts have improved the state of the art, most of the methods cannot be easily accessed, compared or...
Cloud Computing Humans Algorithms Deep Learning Diagnostic Imaging Image Interpretation, Computer-Assisted
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Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning.

IEEE journal of biomedical and health informatics Nov 28, 2018
Drug-side effect association contains the information on marketed medicines and their recorded adverse drug reactions. Traditional experimental method is time consuming and expensive. All associations of drugs and side-effects are seen as a bipartite...
Drug-Related Side Effects and Adverse Reactions Models, Statistical Humans Area Under Curve Medical Informatics Algorithms Supervised Machine Learning
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Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network.

IEEE journal of biomedical and health informatics Nov 22, 2018
For decades, task functional magnetic resonance imaging has been a powerful noninvasive tool to explore the organizational architecture of human brain function. Researchers have developed a variety of brain network analysis methods for task fMRI data...
Connectome Nerve Net Magnetic Resonance Imaging Humans Signal Processing, Computer-Assisted Neural Networks, Computer Task Performance and Analysis Brain Image Processing, Computer-Assisted
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Adversarial MACE Prediction After Acute Coronary Syndrome Using Electronic Health Records.

IEEE journal of biomedical and health informatics Nov 20, 2018
Acute coronary syndrome (ACS), as an emergent and severe syndrome due to decreased blood flow in the coronary arteries, is a leading cause of death and serious long-term disability globally. ACS is usually caused by one of three problems: ST elevatio...
Humans Medical Informatics Diagnosis, Computer-Assisted Electronic Health Records Heart Failure Deep Learning Aged Acute Coronary Syndrome Models, Statistical Middle Aged
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