AIMC Topic: Algorithms

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MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction.

IEEE journal of biomedical and health informatics Aug 6, 2024
This study aims to tackle the intricate challenge of predicting RNA-small molecule binding sites to explore the potential value in the field of RNA drug targets. To address this challenge, we propose the MultiModRLBP method, which integrates multi-mo...
Nucleic Acid Conformation Computational Biology Binding Sites RNA Small Molecule Libraries Ligands Algorithms Deep Learning
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Precision and Robust Models on Healthcare Institution Federated Learning for Predicting HCC on Portal Venous CT Images.

IEEE journal of biomedical and health informatics Aug 6, 2024
Hepatocellular carcinoma (HCC), the most common type of liver cancer, poses significant challenges in detection and diagnosis. Medical imaging, especially computed tomography (CT), is pivotal in non-invasively identifying this disease, requiring subs...
Liver Neoplasms Portal Vein Tomography, X-Ray Computed Humans Carcinoma, Hepatocellular Deep Learning Algorithms Radiographic Image Interpretation, Computer-Assisted
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MPCNN: A Novel Matrix Profile Approach for CNN-based Single Lead Sleep Apnea in Classification Problem.

IEEE journal of biomedical and health informatics Aug 6, 2024
Sleep apnea (SA) is a significant respiratory condition that poses a major global health challenge. Deep Learning (DL) has emerged as an efficient tool for the classification problem in electrocardiogram (ECG)-based SA diagnoses. Despite these advanc...
Sleep Apnea Syndromes Electrocardiography Signal Processing, Computer-Assisted Humans Algorithms Neural Networks, Computer Deep Learning
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DSFE: Decoding EEG-Based Finger Motor Imagery Using Feature-Dependent Frequency, Feature Fusion and Ensemble Learning.

IEEE journal of biomedical and health informatics Aug 6, 2024
Accurate decoding finger motor imagery is essential for fine motor control using EEG signals. However, decoding finger motor imagery is particularly challenging compared with ordinary motor imagery. This paper proposed a novel EEG decoding method of ...
Algorithms Female Male Electroencephalography Adult Signal Processing, Computer-Assisted Fingers Humans Imagination Brain-Computer Interfaces Machine Learning
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Enhancing Major Depressive Disorder Diagnosis With Dynamic-Static Fusion Graph Neural Networks.

IEEE journal of biomedical and health informatics Aug 6, 2024
Major Depressive Disorder (MDD) is a debilitating, complex mental condition with unclear mechanisms hindering diagnostic progress. Research links MDD to abnormal brain connectivity using functional magnetic resonance imaging (fMRI). Yet, existing fMR...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Adult Humans Brain Depressive Disorder, Major
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Exploring the Impact of Fine-Tuning the Wav2vec2 Model in Database-Independent Detection of Dysarthric Speech.

IEEE journal of biomedical and health informatics Aug 6, 2024
Many acoustic features and machine learning models have been studied to build automatic detection systems to distinguish dysarthric speech from healthy speech. These systems can help to improve the reliability of diagnosis. However, speech recorded f...
Dysarthria Support Vector Machine Signal Processing, Computer-Assisted Female Young Adult Male Middle Aged Adult Humans Algorithms Databases, Factual
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A Computational Framework for Predicting Novel Drug Indications Using Graph Convolutional Network With Contrastive Learning.

IEEE journal of biomedical and health informatics Aug 6, 2024
Inferring potential drug indications plays a vital role in the drug discovery process. It can be time-consuming and costly to discover novel drug indications through biological experiments. Recently, graph learning-based methods have gained popularit...
Humans Neural Networks, Computer Drug Discovery Deep Learning Computational Biology Machine Learning Algorithms
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DCNet: A Self-Supervised EEG Classification Framework for Improving Cognitive Computing-Enabled Smart Healthcare.

IEEE journal of biomedical and health informatics Aug 6, 2024
Cognitive computing endeavors to construct models that emulate brain functions, which can be explored through electroencephalography (EEG). Developing precise and robust EEG classification models is crucial for advancing cognitive computing. Despite ...
Signal Processing, Computer-Assisted Supervised Machine Learning Algorithms Humans Brain Neural Networks, Computer Electroencephalography
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Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images With Bounding Box Supervision.

IEEE journal of biomedical and health informatics Aug 6, 2024
As a common and critical medical image analysis task, deep learning based biomedical image segmentation is hindered by the dependence on costly fine-grained annotations. To alleviate this data dependence, in this article, a novel approach, called Pol...
Image Processing, Computer-Assisted Supervised Machine Learning Algorithms Deep Learning Humans
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DCNNLFS: A Dilated Convolutional Neural Network With Late Fusion Strategy for Intelligent Classification of Gastric Histopathology Images.

IEEE journal of biomedical and health informatics Aug 6, 2024
Gastric cancer has a high incidence rate, significantly threatening patients' health. Gastric histopathology images can reliably diagnose related diseases. Still, the data volume of histopathology images is too large, making misdiagnosis or missed di...
Humans Neural Networks, Computer Algorithms Image Interpretation, Computer-Assisted Stomach Neoplasms Histocytochemistry Deep Learning Databases, Factual Stomach
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