AIMC Topic: Neural Networks, Computer

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A machine learning framework for auto classification of imaging system exams in hospital setting for utilization optimization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In clinical environment, Interventional X-Ray (IXR) system is used on various anatomies and for various types of the procedures. It is important to classify correctly each exam of IXR system into respective procedures and/or assign to correct anatomy...
X-Rays Hospital Information Systems Radiology, Interventional Hospitals Machine Learning Algorithms Support Vector Machine Decision Trees Appointments and Schedules Pattern Recognition, Automated Humans Neural Networks, Computer
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Thorax disease diagnosis using deep convolutional neural network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Computer aided diagnosis (CAD) is an important issue, which can significantly improve the efficiency of doctors. In this paper, we propose a deep convolutional neural network (CNN) based method for thorax disease diagnosis. We firstly align the image...
Humans Neural Networks, Computer Thoracic Diseases
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Measuring the quality of exercises.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This work explores the problem of exercise quality measurement since it is essential for effective management of diseases like cerebral palsy (CP). This work examines the assessment of quality of large amplitude movement (LAM) exercises designed to t...
Humans Exercise Therapy Exercise Neural Networks, Computer Quality Control Support Vector Machine Algorithms Decision Trees
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A deep bag-of-features model for the classification of melanomas in dermoscopy images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Deep learning and unsupervised feature learning have received great attention in past years for their ability to transform input data into high level representations using machine learning techniques. Such interest has been growing steadily in the fi...
Machine Learning Databases, Factual Skin Neoplasms Dermoscopy Melanoma Humans Neural Networks, Computer ROC Curve Image Processing, Computer-Assisted
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High-accuracy user identification using EEG biometrics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
We analyze brain waves acquired through a consumer-grade EEG device to investigate its capabilities for user identification and authentication. First, we show the statistical significance of the P300 component in event-related potential (ERP) data fr...
Evoked Potentials Event-Related Potentials, P300 Signal Processing, Computer-Assisted Biometric Identification Algorithms Brain Electroencephalography Equipment Design Logistic Models Humans Neural Networks, Computer Machine Learning
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Encoding physiological signals as images for affective state recognition using convolutional neural networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Affective state recognition based on multiple modalities of physiological signals has been a hot research topic. Traditional methods require designing hand-crafted features based on domain knowledge, which is time-consuming and has not achieved a sat...
Support Vector Machine Emotions Humans Neural Networks, Computer
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Predicting local field potentials with recurrent neural networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
We present a Recurrent Neural Network using LSTM (Long Short Term Memory) that is capable of modeling and predicting Local Field Potentials. We train and test the network on real data recorded from epilepsy patients. We construct networks that predic...
Humans Neural Networks, Computer Databases, Factual Sensitivity and Specificity Epilepsy
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Application of cross-correlated delay shift rule in spiking neural networks for interictal spike detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This study proposes a Cross-Correlated Delay Shift (CCDS) supervised learning rule to train neurons with associated spatiotemporal patterns to classify spike patterns. The objective of this study was to evaluate the feasibility of using the CCDS rule...
Humans Neural Networks, Computer Machine Learning Epilepsy Action Potentials Algorithms Neurons Electroencephalography Models, Theoretical
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Vessel extraction in X-ray angiograms using deep learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Coronary artery disease (CAD) is the most common type of heart disease which is the leading cause of death all over the world. X-ray angiography is currently the gold standard imaging technique for CAD diagnosis. These images usually suffer from low ...
Coronary Artery Disease Coronary Vessels X-Rays Learning Coronary Angiography Neural Networks, Computer Tomography, X-Ray Computed Humans
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A deep convolutional neural network for bleeding detection in Wireless Capsule Endoscopy images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Wireless Capsule Endoscopy (WCE) is a standard non-invasive modality for small bowel examination. Recently, the development of computer-aided diagnosis (CAD) systems for gastrointestinal (GI) bleeding detection in WCE image videos has become an activ...
Diagnosis, Computer-Assisted Capsule Endoscopy Gastrointestinal Hemorrhage Humans Neural Networks, Computer
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