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Showing 261 to 270 of 1686 articles

Cross-Modality Translation with Generative Adversarial Networks to Unveil Alzheimer's Disease Biomarkers.

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
Generative approaches for cross-modality transformation have recently gained significant attention in neuroimaging. While most previous work has focused on case-control data, the application of generative models to disorder-specific datasets and thei...
Generative Adversarial Networks Alzheimer Disease Neuroimaging Humans Brain Aged Neural Networks, Computer Magnetic Resonance Imaging Female Biomarkers Male
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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. ...
Neural Networks, Computer Algorithms Brain Humans Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Electrodes
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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...
Signal Processing, Computer-Assisted Wearable Electronic Devices Smartphone Electrocardiography Neural Networks, Computer Algorithms Humans
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Cough-DL: A Deep Learning Model for Ear-Worn Cough 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, 2024
Cough serves as a crucial bio-marker for evaluation and monitoring of pulmonary conditions. With growing interest towards automatic cough detection systems, it's important to acknowledge the existing hurdles on the way for a robust cough counter. The...
Humans Wearable Electronic Devices Cough Deep Learning Monitoring, Ambulatory Signal Processing, Computer-Assisted Sound Spectrography
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ANTs, BET, or…neither? An exploration of brain masking and machine learning tools applied to magnetic resonance elastography.

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
Magnetic resonance elastography is a quantitative MRI modality that can aid in diagnosis of disease by detecting altered tissue mechanical properties. While brain masking tools exist for common MRI sequences, such as T1-weighted and T2-weighted imagi...
Algorithms Brain Magnetic Resonance Imaging Elasticity Imaging Techniques Image Processing, Computer-Assisted Humans Machine Learning
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Switching Operative Coordinate System Using Intuitive Haptic Device for Alignment of Six-DOF Robot Arm.

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
Robotics teleoperation is useful in various situations. However, when considering the operation of a six-degrees-of-freedom (DOF) robot arm, aligning the six axes for both position and orientation, operations such as the removal of screws become high...
Equipment Design Robotic Surgical Procedures Humans Robotics
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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 Tongue Neural Networks, Computer Language Ultrasonography Image Processing, Computer-Assisted Speech Humans
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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 ...
Humans Neural Networks, Computer Male Chronic Disease Heart Diseases Machine Learning Female 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 Generative Adversarial Networks Needles 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...
Aged Male Middle Aged Neural Networks, Computer Female Frontotemporal Dementia Neuropsychological Tests Humans Recurrent Neural Networks Cognitive Dysfunction Regression Analysis
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