AIMC Topic: Neural Networks, Computer

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EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional 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
Electroencephalogram (EEG) is a valuable technique to record brain electrical activity through electrodes placed on the scalp. Analyzing EEG signals contributes to the understanding of neurological conditions and developing brain-computer interface. ...
Signal Processing, Computer-Assisted Algorithms Electrodes Brain Brain-Computer Interfaces Electroencephalography Humans Neural Networks, Computer
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ECG Beat-By-Beat Classification Using Hybrid Transformer Neural Network Model in Smart Health.

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
Wearable cardiac monitors can be used to detect potential heart attack by syncing with smartphone apps for instant data analysis and alerts. Our goal is to build an efficient smart health application to help patients prevent and early diagnose the ri...
Smartphone Electrocardiography Signal Processing, Computer-Assisted Humans Algorithms Neural Networks, Computer Wearable Electronic Devices
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Mandarin Speech Reconstruction from Tongue Motion Ultrasound Images based on 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, 2024
Speech impairment resulting from laryngectomy causes severe physiological and psychological distress to laryngectomee. In clinical practice, the upper vocal tract articulatory organs function normally in most laryngectomee. The potential to reconstru...
Generative Adversarial Networks Motion Speech Tongue Ultrasonography Image Processing, Computer-Assisted Humans Neural Networks, Computer Language
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Learning Physiological Mechanisms that Predict Adverse Cardiovascular Events in Intensive Care Patients with Chronic Heart Disease.

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
Chronic heart disease is a burdensome, complex, and fatal condition. Learning the mechanisms driving the development of heart disease is key to early risk assessment and intervention. However, many current machine learning approaches lack sufficient ...
Machine Learning Female Male Chronic Disease Heart Diseases Humans Neural Networks, Computer Critical Care
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Visualization of Surgical Needle Tips Hidden Inside Organs Using 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, 2024
Postoperative complications in surgery are particularly prevalent in laparoscopic procedures, which are difficult for physicians to perform. One complication that is related to the surgical procedure itself is anastomotic leakage, in which the suture...
Laparoscopy Surgery, Computer-Assisted Needles Generative Adversarial Networks Neural Networks, Computer Humans Algorithms Image Processing, Computer-Assisted
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A Regression Framework for Predicting Cognitive Decline in Frontotemporal Dementia using 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 Jul 1, 2024
Frontotemporal dementia (FTD) is a progressive neurodegenerative disorder with a diverse range of symptoms, including personality changes, behavioral disturbances, language deficits, and impaired executive functions. FTD has three main subtypes: beha...
Regression Analysis Frontotemporal Dementia Neuropsychological Tests Recurrent Neural Networks Male Middle Aged Cognitive Dysfunction Female Aged Humans Neural Networks, Computer
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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...
Brain Computer Simulation Convolutional Neural Networks Neural Networks, Computer Algorithms Brain Mapping Electroencephalography Signal Processing, Computer-Assisted Humans
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The Impact of Cross-Validation Schemes for EEG-Based Auditory Attention Detection with Deep 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 assesses the performance of different cross-validation splits for brain-signal-based Auditory Attention Decoding (AAD) using deep neural networks on three publicly available Electroencephalography datasets. We investigate the effect of tri...
Humans Neural Networks, Computer Brain Electroencephalography Signal Processing, Computer-Assisted Attention Reproducibility of Results Deep Learning
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The Recurrent U-Net for Needle Segmentation in Ultrasound Image-Guided Surgery.

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
In minimally invasive surgery, poor needle visualization under ultrasound has been one of the challenges of the surgery. To improve the resulting puncture error, it is effective to use deep learning from the image level to assist the surgeon in locat...
Liver Neural Networks, Computer Minimally Invasive Surgical Procedures Algorithms Surgery, Computer-Assisted Animals Cattle Deep Learning Image Processing, Computer-Assisted Ultrasonography Needles
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KAMLN: A Knowledge-aware Multi-label Network for Lung Cancer Complication Prediction.

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
Surgical resection is now the only curative approach for early stage lung cancer patients. However, postoperative complications pose a significant threat to the health and life of patients. The current complication prediction methods usually ignore t...
Algorithms Humans Postoperative Complications Neural Networks, Computer Lung Neoplasms
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