AIMC Topic: Neural Networks, Computer

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Improving Young Stroke Prediction by Learning with Active Data Augmenter in a Large-Scale Electronic Medical Claims Database.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Electronic medical claims (EMC) database has been successfully used for predicting occurrences of stroke and a variety of other diseases. However, inadequate predictive performances have been observed in cases of rare occurrences due to both insuffic...
Databases, Factual Area Under Curve Adult Machine Learning Stroke Middle Aged Forecasting Humans ROC Curve Neural Networks, Computer
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Smart Data Analytics approach to model Complex Biochemical Oscillations in Hippocampal Neurons.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Calcium spiking can be used for drug screening studies in pharmaceutical industries. However, performing experiments for multiple drugs and doses are highly expensive. The oscillatory behavior of calcium spiking data demonstrates extreme nonlinearity...
Hippocampus Calcium Signaling Drug Evaluation, Preclinical Neurons Neural Networks, Computer Data Science Algorithms Animals Fluorescence Microscopy, Confocal Rats
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QRS Detection and Measurement Method of ECG Paper Based on 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 Jul 1, 2018
In this paper, we propose an end-to-end approach to addressing QRS complex detection and measurement of Electrocardiograph (ECG) paper using convolutional neural networks (CNNs). Unlike conventional detection solutions that convert images to digital ...
Humans Neural Networks, Computer Databases, Factual Electrocardiography Algorithms Arrhythmias, Cardiac
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Computational Platform Based on Deep Learning for Segmenting Ventricular Endocardium in Long-axis Cardiac MR Imaging.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
This paper presents an automated computational platform based on deep learning (DL) approach for left ventricular (LV) and right ventricular (RV) endocardium segmentation in long-axis cine cardiovascular magnetic resonance (CMR). The proposed method ...
Magnetic Resonance Imaging, Cine Endocardium Reproducibility of Results Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Deep Learning Heart Ventricles Models, Cardiovascular Algorithms
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Early Prediction of Sepsis in EMR Records Using Traditional ML Techniques and Deep Learning LSTM Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Sepsis is a life-threatening condition caused by infection and subsequent overreaction by the immune system. Physicians effectively treat sepsis with early administration of antibiotics. However, excessive use of antibiotics on false positive cases c...
Machine Learning Electronic Health Records Sepsis Deep Learning Humans Neural Networks, Computer
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Deep Learning Enabled Automatic Abnormal EEG Identification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
In hospitals, physicians diagnose brain-related disorders such as epilepsy by analyzing electroencephalograms (EEG). However, manual analysis of EEG data requires highly trained clinicians or neurophysiologists and is a procedure that is known to hav...
Diagnosis, Computer-Assisted Deep Learning Neural Networks, Computer Algorithms Electroencephalography Epilepsy Humans
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Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Automatic segmentation of vascular network is a critical step in quantitatively characterizing vessel remodeling in retinal images and other tissues. We proposed a deep learning architecture consists of 14 layers to extract blood vessels in fundoscop...
Humans Neural Networks, Computer Algorithms Deep Learning Retinal Vessels
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Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Diabetic Retinopathy (DR) is a non-negligible eye disease among patients with Diabetes Mellitus, and automatic retinal image analysis algorithm for the DR screening is in high demand. Considering the resolution of retinal image is very high, where sm...
Neural Networks, Computer Machine Learning Retina Algorithms Humans Diabetic Retinopathy
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A Convolutional Neural Network Based Auto-Positioning Method For Dental Arch In Rotational Panoramic Radiography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Dental panoramic radiography (DPR), a widely used medical examination method, has its intrinsic weakness in high requirement to the positioning of patient. Although positioning devices like chin support can provide a relatively stable and guaranteed ...
Dental Arch Radiography, Dental Neural Networks, Computer Radiography, Panoramic Humans Chin
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Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Cardiac arrhythmia is known to be one of the most common causes of death worldwide. Therefore, development of efficient arrhythmia detection techniques is essential to save patients' lives. In this paper, we introduce a new real-time cardiac arrhythm...
Neural Networks, Computer Humans Arrhythmias, Cardiac Cardiac Conduction System Disease
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