AIMC Topic: Convolutional Neural Networks

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Deep Residual Neural Networks for Spatial EEG Source 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, 2024
EEG source imaging is an indispensable tool for non-invasive study of brain function. Existing methods mainly directly deal with the EEG inverse problem by imposing prior constraints. However, different brain activation patterns may produce similar p...
Convolutional Neural Networks Signal Processing, Computer-Assisted Brain Mapping Algorithms Humans Brain Electroencephalography Computer Simulation Neural Networks, Computer
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Automatic COVID-19 Detection from Chest X-ray using Deep MobileNet 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 Jul 1, 2024
As the COVID-19 pandemic has put a strain on healthcare systems around the world, accurate and rapid virus detection has become increasingly important. Lung issues caused by COVID-19 can be detected using a chest X-ray (CXR). In order to automaticall...
SARS-CoV-2 Humans Convolutional Neural Networks Lung Neural Networks, Computer Deep Learning COVID-19 Support Vector Machine Algorithms Radiography, Thoracic
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Multi-class Prediction of Cognitively Normal / Mild Cognitive Impairment / Alzheimer's Disease Status in Dementia Based on Convolutional Neural Networks with Attention Mechanism.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Alzheimer's disease (AD) is a neurodegenerative disease with insidious onset and progressive development. AD is a health issue that is attracting attention as the world's populations get older. Although there is currently no effective treatment for t...
Cognition Magnetic Resonance Imaging Alzheimer Disease Deep Learning Convolutional Neural Networks Humans Cognitive Dysfunction Neural Networks, Computer Aged Female Male
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Bi-hemisphere Interaction Convolutional Neural Network for Motor Imagery Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Decoding EEG-based, Motor Imagery Brain-Computer Interfaces (MI-BCI) in a subject-independent manner is very challenging due to high dimensionality of the EEG signal, and high inter-subject variability. In recent years, Convolutional neural networks ...
Humans Neural Networks, Computer Algorithms Imagination Electroencephalography Brain Signal Processing, Computer-Assisted Convolutional Neural Networks Brain-Computer Interfaces
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A DenseNet-based Abnormal Ventricular Potentials Onset Delineation: A Feasibility Study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Abnormal ventricular potentials (AVPs) are fractionated and complex electrograms (EGMs), typically associated with slow conduction areas in the myocardium. As such, in ventricular tachycardia (VT), their identification supports the localization of th...
Tachycardia, Ventricular Feasibility Studies Heart Ventricles Humans Neural Networks, Computer Convolutional Neural Networks Electrocardiography Signal Processing, Computer-Assisted
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EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This work introduces EffiSegNet, a novel segmentation framework leveraging transfer learning with a pre-trained Convolutional Neural Network (CNN) classifier as its backbone. Deviating from traditional architectures with a symmetric U-shape, EffiSegN...
Algorithms Convolutional Neural Networks Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Lightweight Neural-Network-Based Trajectory Estimation for Low-Cost Inertial Measurement Units.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Generally, inertial measurement unit can measure the acceleration and angular velocity of an object in three-dimensional space, and use this to calculate the object's attitude and movement trajectory. In particular, motion trajectories can be applied...
Convolutional Neural Networks Wearable Electronic Devices Accelerometry
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Vascular Age Evaluation Enhanced using Recurrence Plot Analysis and Convolutional Neural Networks: An in-Silico Study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Aging contributes as a major nonreversible risk factor for cardiovascular disease. This underscores the emergence of Vascular Age (VA) as a promising alternative metric to evaluate an individual's cardiovascular risk and overall health. This study ex...
Computer Simulation Aging Cardiovascular Diseases Humans Neural Networks, Computer Convolutional Neural Networks Pulse Wave Analysis
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Audio Cough Analysis by Parametric Modelling of Weighted Spectrograms to Interpret the Output of 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, 2024
This study explores the feasibility of employing eXplainable Artificial Intelligence (XAI) methodologies for the analysis of cough patterns in respiratory diseases. A cohort of 20 adult patients, all presenting persistent cough as a symptom of respir...
Neural Networks, Computer Female Aged Humans Cough Signal Processing, Computer-Assisted Sound Spectrography Male Adult Middle Aged Pulmonary Disease, Chronic Obstructive Convolutional Neural Networks
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Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Deep learning models based on convolutional neural networks (CNNs) have been used to classify Alzheimer's disease or infer dementia severity from T1-weighted brain MRI scans. Here, we examine the value of adding diffusion-weighted MRI (dMRI) as an in...
Deep Learning Convolutional Neural Networks Dementia Female Aged Male Neuroimaging North America Diffusion Magnetic Resonance Imaging Cohort Studies India Alzheimer Disease Humans Neural Networks, Computer Brain
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