AIMC Journal:
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Showing 181 to 190 of 1686 articles

Hard example mining in Multi-Instance Learning for Whole-Slide Image 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
Multiple instance learning(MIL) has shown superior performance in the classification of whole-slide images(WSIs). The implementation of multiple instance learning for WSI classification typically involves two components, i.e., a feature extractor, wh...
Algorithms Image Processing, Computer-Assisted Humans Image Interpretation, Computer-Assisted Machine Learning Lung Neoplasms Data Mining Carcinoma, Non-Small-Cell Lung
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Sleep structure discriminates patients with isolated REM sleep behavior disorder: 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
Rapid eye movement (REM) sleep behavior disorder (RBD) is a disorder characterized by increased muscle tone and dream-enactment behaviors in REM sleep. In its isolated form (iRBD), it is a prodromal stage of neurodegenerative diseases. Currently, dia...
Humans Aged Male Algorithms Female Middle Aged Sleep, REM Deep Learning Polysomnography REM Sleep Behavior Disorder
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CBCRnet: A Contrastive Learning-based Multi-modal Image Registration Via Bidirectional Cross-modal Attention.

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 the past few years, convolutional neural networks (CNNs) have been a major focus in medical image registration. However, it has been proved that CNNs are limited in their ability to represent modal-independent feature and understand the spatial co...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Humans Tomography, X-Ray Computed Neural Networks, Computer
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Deep Learning-based Open-set Person Identification using Radar Extracted Cardiac Signals.

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
Person identification based on radar-extracted vital signs has become increasingly popular due to its non-contact measurement capabilities. This paper introduces a novel deep learning-based person identification algorithm leveraging radar- extracted ...
Neural Networks, Computer Algorithms Humans Radar Deep Learning Signal Processing, Computer-Assisted
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Prediction of Postinduction Hypotension by 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
Post-induction hypotension (PIH) occurs shortly after anesthesia induction and is related to several post-operative complications. Medications delivered during induction and maintenance of anesthesia are significantly related to PIH occurrence, which...
Propofol Hypotension Machine Learning Algorithms Male Middle Aged Humans Female
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Unsupervised Hybrid Deep Feature Encoder for Robust Feature Learning from Resting-State EEG 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
EEG classification is a challenging task due to the nonstationary nature of EEG data and the covariance shift induced by cross-subject variance. Recently, various machine learning and deep learning models have been developed to learn robust features ...
Rest Electroencephalography Signal Processing, Computer-Assisted Algorithms Brain Cluster Analysis Unsupervised Machine Learning Deep Learning Humans Machine Learning
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Dual Attention Graph Convolutional Network Fusing Imaging and Genetic Data for Early Alzheimer's Disease Diagnosis.

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) poses a significant global neurodegenerative challenge, underscoring the urgency of early clinical intervention. Our paper presents a novel approach for early AD diagnosis, focusing on a dual attention graph convolutional net...
Humans Image Processing, Computer-Assisted Alzheimer Disease Early Diagnosis Neural Networks, Computer Algorithms Neuroimaging
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Learning Enabled Control for Optimal EPO Dosage in Virtual CKD Patients: Case of Bleeding and Missing Dosage.

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
Traditional model-based control methods require predictive models to design control policies. These models often suffer limitations on dimensionality, uncertainty, and unmodeled dynamics. This affects the performance of control policy, especially, pe...
Renal Insufficiency, Chronic Erythropoietin Hemorrhage Machine Learning Computer Simulation Humans
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LLM-based kidney disease diagnostic framework for Pathologists.

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
Large language models revolutionize the recent paradigm in the medical field and its contributing to various applications, diversified from clinical decision support to information extraction and summarization. The substantial linguistic understandin...
Natural Language Processing Pathologists Humans Kidney Diseases
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ECG Abnormality Detection Using MIMIC-IV-ECG Data Via Supervised Contrastive 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
Electrocardiogram data provide a tremendous opportunity for the detection of various types of cardiac arrhythmia. Recent advancement in ubiquitous wearable devices with incorporated ECG sensors offers an opportunity for a real-time monitoring system ...
Humans Algorithms Supervised Machine Learning Arrhythmias, Cardiac Atrial Fibrillation Electrocardiography Signal Processing, Computer-Assisted
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