AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 1061 to 1070 of 1118 articles

Completed Feature Disentanglement Learning for Multimodal MRIs Analysis.

IEEE journal of biomedical and health informatics Jun 1, 2025
Multimodal MRIs play a crucial role in clinical diagnosis and treatment. Feature disentanglement (FD)-based methods, aiming at learning superior feature representations for multimodal data analysis, have achieved significant success in multimodal lea...
Male Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Multimodal Imaging Algorithms Brain Female Humans Machine Learning
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Hierarchically Optimized Multiple Instance Learning With Multi-Magnification Pathological Images for Cerebral Tumor Diagnosis.

IEEE journal of biomedical and health informatics Jun 1, 2025
Accurate diagnosis of cerebral tumors is crucial for effective clinical therapeutics and prognosis. However, limitations in brain biopsy tissues and the scarcity of pathologists specializing in cerebral tumors hinder comprehensive clinical tests for ...
Humans Image Interpretation, Computer-Assisted Multiple-Instance Learning Algorithms Brain Neoplasms Brain Glioma Machine Learning Databases, Factual
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Optimized Drug-Drug Interaction Extraction With BioGPT and Focal Loss-Based Attention.

IEEE journal of biomedical and health informatics Jun 1, 2025
Drug-drug interactions (DDIs) are a significant focus in biomedical research and clinical practice due to their potential to compromise treatment outcomes or cause adverse effects. While deep learning approaches have advanced DDI extraction, challeng...
Data Mining Deep Learning Algorithms Drug Interactions Databases, Factual Humans
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Semi-Supervised Gland Segmentation via Feature-Enhanced Contrastive Learning and Dual-Consistency Strategy.

IEEE journal of biomedical and health informatics Jun 1, 2025
In the field of gland segmentation in histopathology, deep-learning methods have made significant progress. However, most existing methods not only require a large amount of high-quality annotated data but also tend to confuse the internal of the gla...
Deep Learning Supervised Machine Learning Image Interpretation, Computer-Assisted Humans Algorithms
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TriCvT-DTI: Predicting Drug-Target Interactions Using Trimodal Representations and Convolutional Vision Transformers.

IEEE journal of biomedical and health informatics Jun 1, 2025
Predicting interactions between drugs and their targets is vital for drug discovery and repositioning. Conventional techniques are slow and labor-intensive, while deep learning algorithms offer efficient solutions. However, deep learning often focus ...
Drug Discovery Deep Learning Image Processing, Computer-Assisted Algorithms Animals Caenorhabditis elegans Pharmaceutical Preparations Drug Interactions Humans Neural Networks, Computer
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FeaInfNet: Diagnosis of Medical Images With Feature-Driven Inference and Visual Explanations.

IEEE journal of biomedical and health informatics Jun 1, 2025
Interpretable deep-learning models have received widespread attention in the field of image recognition. However, owing to the coexistence of medical-image categories and the challenge of identifying subtle decision-making regions, many proposed inte...
Deep Learning COVID-19 Humans Image Interpretation, Computer-Assisted Neural Networks, Computer SARS-CoV-2
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Boundary-Enhanced $U^{2}$-Net for Simultaneous Four-Chamber Segmentation in Transthoracic Echocardiography.

IEEE journal of biomedical and health informatics Jun 1, 2025
The heart, responsible for circulating blood throughout our body, contains four chambers. Existing analysis methods primarily focus on one single ventricle. Transthoracic echocardiography provides real-time estimations of cardiac function and enables...
Image Interpretation, Computer-Assisted Neural Networks, Computer Humans Echocardiography Algorithms Heart Ventricles
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Coarse for Fine: Bounding Box Supervised Thyroid Ultrasound Image Segmentation Using Spatial Arrangement and Hierarchical Prediction Consistency.

IEEE journal of biomedical and health informatics Jun 1, 2025
Weakly-supervised learning methods have become increasingly attractive for medical image segmentation, but suffered from a high dependence on quantifying the pixel-wise affinities of low-level features, which are easily corrupted in thyroid ultrasoun...
Humans Algorithms Ultrasonography Supervised Machine Learning Image Interpretation, Computer-Assisted Databases, Factual Thyroid Gland
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CT-DCENet: Deep EEG Denoising via CNN-Transformer-Based Dual-Stage Collaborative Ensemble Learning.

IEEE journal of biomedical and health informatics Jun 1, 2025
Electroencephalogram (EEG) artifact removal has been investigated for decades with the goal of reconstructing the clean signals for the subsequent EEG analysis. However, existing denoising methods still have limited capabilities to handle the highly ...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Artifacts Male Female Signal-To-Noise Ratio Ensemble Learning Adult Deep Learning Electroencephalography
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scDMSC: Deep Multi-View Subspace Clustering for Single-Cell Multi-Omics Data.

IEEE journal of biomedical and health informatics Jun 1, 2025
Single-cell multi-omics sequencing technology comprehensively considers various molecular features to reveal the complexity of cells information. The clustering analysis of multi-omics data provides new insight into cellular heterogeneity. However, m...
Transcriptome Deep Learning Single-Cell Analysis Algorithms Gene Expression Profiling Multiomics Cluster Analysis Unsupervised Machine Learning Humans Genomics Computational Biology
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