AIMC Topic: Deep Learning

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Graph-based deep learning models in the prediction of early-stage Alzheimers.

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 is the most common age-related problem and progresses in different stages, from cognitively normal to early mild cognitive impairment, and severe dementia. This study investigates the predictive potential of resting-state function...
Disease Progression Female Deep Learning Aged Alzheimer Disease Magnetic Resonance Imaging Male Humans Brain
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FedAssist: Federated Learning in AI-Powered Prosthetics for Sustainable and Collaborative 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
This paper explores the integration of federated learning in developing deep learning-powered surface electromyography decoding methods for AI-controlled prosthetics. Our proposed FL framework, FedAssist, aims to preserve data ownership while fosteri...
Humans Deep Learning Federated Learning Machine Learning Prostheses and Implants Algorithms Electromyography
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Wireless Earphone-based Real-Time Monitoring of Breathing Exercises: A 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
Several therapy routines require deep breathing exercises as a key component and patients undergoing such therapies must perform these exercises regularly. Assessing the outcome of a therapy and tailoring its course necessitates monitoring a patient'...
Breathing Exercises Signal Processing, Computer-Assisted Wireless Technology Algorithms Humans Deep Learning Monitoring, Physiologic
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Explainable Multimodal Deep Learning for Heart Sounds and Electrocardiogram 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
We introduce a Gradient-weighted Class Activation Mapping (Grad-CAM) methodology to assess the performance of five distinct models for binary classification (normal/abnormal) of synchronized heart sounds and electrocardiograms. The applied models com...
Algorithms Deep Learning Electrocardiography Signal Processing, Computer-Assisted ROC Curve Humans Neural Networks, Computer Heart Sounds
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Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques.

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
Pancreatitis is a major public health issue world-wide; studies show an increase in the number of people experiencing pancreatitis. Identifying peri-pancreatic edema is a pivotal indicator for identifying disease progression and prognosis, emphasizin...
Deep Learning Algorithms Humans Pancreatitis Image Processing, Computer-Assisted Pancreas Tomography, X-Ray Computed Male Edema Radiomics
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Selection of Dataframes Presenting Glioma from Magnetic Resonance Images: a 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
Due to its complexity and time-consuming nature, identifying gliomas at the Magnetic Resonance Imaging (MRI) slice-level before segmentation could assist clinicians in minimizing the time required for this procedure. In the literature, many studies p...
Glioma Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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A Cross-Feature Mutual Learning Framework to Integrate Functional Connectivity and Activity for Brain Disorder 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
Time courses (TC) and functional network connectivity (FNC) features, derived from functional magnetic resonance imaging, show considerable potential in the study of brain disorders. Despite significant advancements, most deep learning approaches ten...
Brain Deep Learning Magnetic Resonance Imaging Machine Learning Algorithms Brain Diseases Humans Neural Networks, Computer
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Unsupervised 3D Lung Segmentation by Leveraging 2D Segment Anything Model.

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
Lung segmentation is the first important step for lung nodule detection and lung cancer analysis. Deep neural networks have achieved state-of-the-art for most tasks in medical image analysis, including lung segmentation. However, training a deep lear...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Humans Imaging, Three-Dimensional Lung Lung Neoplasms Deep Learning Unsupervised Machine Learning
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Instance-Wise MRI Reconstruction Based on Self-Supervised Implicit Neural Representation.

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
Accelerated MRI involves a trade-off between sampling sufficiency and acquisition time. Supervised deep learning methods have shown great success in MRI reconstruction from under-sampled measurements, but they typically require a large set of fully-s...
Magnetic Resonance Imaging Supervised Machine Learning Deep Learning Image Processing, Computer-Assisted Humans Algorithms Brain Neural Networks, Computer Reproducibility of Results
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A Multi-branch Attention-based Deep Learning Method for ALS Identification with sMRI Data.

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 structural Magnetic resonance imaging (sMRI) of spinal cord plays a significant role in the clinical diagnosis of Amyotrophic Lateral Sclerosis (ALS). But due to small cross-sectional area in the axial plane and long sagittal/coronal expansion of...
Humans Magnetic Resonance Imaging Amyotrophic Lateral Sclerosis Spinal Cord Deep Learning Image Processing, Computer-Assisted Algorithms
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