AIMC Journal:
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Showing 281 to 290 of 1686 articles

Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning Approach.

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
The diagnosis of schizophrenia (SZ) can be challenging due to its diverse symptom presentation. As such, many studies have sought to identify diagnostic biomarkers of SZ using explainable machine learning methods. However, the generalizability of ide...
Deep Learning Humans Electroencephalography Schizophrenia Biomarkers Signal Processing, Computer-Assisted
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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...
Signal Processing, Computer-Assisted Humans Attention Brain Neural Networks, Computer Reproducibility of Results Deep Learning Electroencephalography
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Dysarthria Detection with Deep Representation Learning for Patients with Parkinson's 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
Dysarthria is a very common motor speech symptom in Parkinson's disease impairing normal communications of patients. Detection of dysarthria could assist clinical diagnosis and intervention of Parkinson's disease, provide monitoring approach for trea...
Parkinson Disease Dysarthria Humans Male Middle Aged Female Deep Learning Aged
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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...
Deep Learning Ultrasonography Image Processing, Computer-Assisted Liver Cattle Neural Networks, Computer Needles Algorithms Animals Minimally Invasive Surgical Procedures Surgery, Computer-Assisted
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Diagnosis of Pneumoconiosis with Machine Learning.

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
Pneumoconiosis encompasses a group of lung diseases caused by inhaling dust particles. Frequently recognized as an occupational disease, it primarily affects workers in the mining industry. This paper details the use of machine learning algorithms to...
Lung Diagnosis, Computer-Assisted Algorithms Support Vector Machine Pneumoconiosis Bayes Theorem Humans Machine Learning
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Preliminary Experimental Validation of a Cable-Driven Joint System for Custom Orthoses.

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
Robot-assisted gait training has the potential to enhance gait therapy for children with mobility impairments. Robotic orthoses are designed to improve therapy session quality, but have shortcomings regarding compactness, weight, usability, and weare...
Torque Joints Orthotic Devices Robotics Equipment Design Gait Humans Child
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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...
Lung Neoplasms Algorithms Postoperative Complications Humans Neural Networks, Computer
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Weakly Supervised Breast Ultrasound Image Segmentation Based on Image Selection.

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
Automatic segmentation in Breast Ultrasound (BUS) imaging is vital to BUS computer-aided diagnostic systems. Fully supervised learning approaches can attain high accuracy, yet they depend on pixel-level annotations that are challenging to obtain. As ...
Humans Algorithms Image Processing, Computer-Assisted Ultrasonography, Mammary Breast Female Breast Neoplasms Supervised Machine Learning Image Interpretation, Computer-Assisted
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Enhanced In-Home Human Activity Recognition Using Multimodal Sensing and Spatiotemporal Machine Learning Architecture.

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 this research, we present an enhanced human activity recognition (HAR) framework using advanced machine learning models incorporating temporal dynamics, leveraging multimodal sensor data. Data from wearable wristbands and real-time location system...
Algorithms Wearable Electronic Devices Human Activities Activities of Daily Living Humans Neural Networks, Computer Machine Learning
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Feature Imitating Networks Enhance the Performance, Reliability and Speed of Deep Learning on Biomedical Image Processing Tasks.

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
Feature-Imitating-Networks (FINs) are neural networks that are first trained to approximate closed-form statistical features (e.g. Entropy), and then embedded into other networks to enhance their performance. In this work, we perform the first evalua...
Algorithms Brain Tomography, X-Ray Computed Neural Networks, Computer COVID-19 Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging SARS-CoV-2 Brain Neoplasms Reproducibility of Results Humans
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