AIMC Journal:
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Showing 1351 to 1360 of 1686 articles

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 Neural Networks, Computer Chin Radiography, Dental Radiography, Panoramic Humans
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Fetal MRI Synthesis via Balanced Auto-Encoder Based Generative Adversarial 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
Machine learning approaches for image analysis require large amounts of training imaging data. As an alternative, the use of realistic synthetic data reduces the high cost associated to medical image acquisition, as well as avoiding confidentiality a...
Magnetic Resonance Imaging Fetus Machine Learning
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Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis.

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
Lung cancer overall survival analysis using computed tomography (CT) images plays an important role in treatment planning. Most current analysis methods involve hand-crafted image features for survival time prediction. However, hand-crafted features ...
Kaplan-Meier Estimate Lung Neoplasms Humans Tomography, X-Ray Computed Deep Learning
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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 Cardiac Conduction System Disease Arrhythmias, Cardiac Humans
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Region Aggregation Network: Improving Convolutional Neural Network for ECG Characteristic Detection.

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
Detection of ECG characteristic points serves as the first step in automated ECG analysis techniques. We propose a novel end-to-end deep learning scheme called Region Aggregation Network (RAN) for ECG characteristic points de- tection. A 1D Convoluti...
Rotation Electrocardiography Deep Learning Neural Networks, Computer Databases, Factual
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Neural Decoding Forelimb Trajectory Using Evolutionary Neural Networks with Feedback-Error-Learning Schemes.

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
Changes in the functional mapping between neural activities and kinematic parameters over time poses a challenge to current neural decoder of brain machine interfaces (BMIs). Traditional decoders robust to changes in functional mappings required many...
Macaca mulatta Forelimb Rats Feedback Brain-Computer Interfaces Neural Networks, Computer Animals
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Feature Learning in Assistive Rehabilitation Robotic Systems.

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
Feature learning plays a crucial role in data analysis when the measured data is in a high dimensional space. This paper applied the feature learning technique in data set collected from human movement experiments in an upper limb rehabilitation robo...
Movement Upper Extremity Robotics Humans
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Energetics during robot-assisted training predicts recovery in stroke.

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
Clinical investigators have asserted patients should be active participants in the therapy process in stroke rehabilitation. While robotics introduces new tools for measurement and treatment of motor impairments, it also presents challenges for evalu...
Recovery of Function Robotics Treatment Outcome Humans Upper Extremity Stroke Stroke Rehabilitation
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Deep-2'-O-Me: Predicting 2'-O-methylation sites by 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
2'-O-methylation (2'-O-me) of ribose moiety is one of the significant and ubiquitous post-transcriptional RNA modifications which is vital for metabolism and functions of RNA. Although recent development of new technology (Nmseq) enabled biologists t...
Methylation RNA Neural Networks, Computer Algorithms
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Hardware Implementation of a Performance and Energy-optimized Convolutional Neural Network for Seizure Detection.

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
We present for the first time a μW-power convolutional neural network for seizure detection running on a low-power microcontroller. On a dataset of 22 patients a median sensitivity of 100% is achieved. With a false positive rate of 20.7 fp/h and a sh...
Humans Neural Networks, Computer Electroencephalography Seizures Sensitivity and Specificity Algorithms
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