AIMC Topic: Algorithms

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Unsupervised Domain Adaptation With Synchronized Self-Training for Cross- Domain Motor Imagery Recognition.

IEEE journal of biomedical and health informatics May 6, 2025
Robust decoding performance is essential for the practical deployment of brain-computer interface (BCI) systems. Existing EEG decoding models often rely on large amounts of annotated data collected through specific experimental setups, which fail to ...
Adult Brain-Computer Interfaces Male Imagination Electroencephalography Female Humans Signal Processing, Computer-Assisted Young Adult Algorithms Unsupervised Machine Learning
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A Distributed Neural Network Architecture for Dynamic Sensor Selection With Application to Bandwidth-Constrained Body-Sensor Networks.

IEEE journal of biomedical and health informatics May 6, 2025
We propose a dynamic sensor selection approach for deep neural networks (DNNs), which is able to derive an optimal sensor subset selection for each specific input sample instead of a fixed selection for the entire dataset. This dynamic selection is j...
Humans Neural Networks, Computer Algorithms Wireless Technology Electroencephalography Signal Processing, Computer-Assisted
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MHFNet: A Multimodal Hybrid-Embedding Fusion Network for Automatic Sleep Staging.

IEEE journal of biomedical and health informatics May 6, 2025
Scoring sleep stages is essential for evaluating the status of sleep continuity and comprehending its structure. Despite previous attempts, automating sleep scoring remains challenging. First, most existing works did not fuse local and global tempora...
Adult Male Signal Processing, Computer-Assisted Polysomnography Electroencephalography Female Young Adult Algorithms Sleep Stages Humans Databases, Factual Neural Networks, Computer
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MLDA-Net: Multi-Level Deep Aggregation Network for 3D Nuclei Instance Segmentation.

IEEE journal of biomedical and health informatics May 6, 2025
Segmentation of cell nuclei from three-dimensional (3D) volumetric fluorescence microscopy images is crucial for biological and clinical analyses. In recent years, convolutional neural networks have become the reliable 3D medical image segmentation s...
Imaging, Three-Dimensional Microscopy, Fluorescence Neural Networks, Computer Cell Nucleus Humans Algorithms Deep Learning
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Anomaly Detection in Electronic Health Records Across Hospital Networks: Integrating Machine Learning With Graph Algorithms.

IEEE journal of biomedical and health informatics May 6, 2025
In a large hospital system, a network of hospitals relies on electronic health records (EHRs) to make informed decisions regarding their patients in various clinical domains. Consequently, the dependability of the health information technology (HIT) ...
Hospitals Algorithms Medical Informatics Humans Electronic Health Records Machine Learning
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Predicting Drug-miRNA Associations Combining SDNE with BiGRU.

IEEE journal of biomedical and health informatics May 6, 2025
It is well recognized that abnormal miRNA expression can result in drug resistance and pose a challenge to miRNA-based treatments. However, the drug-miRNA associations (DMA) are still incompletely understood. Conventional biological experiments have ...
Pharmaceutical Preparations Humans Algorithms Computational Biology MicroRNAs Deep Learning
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Progressive Distillation With Optimal Transport for Federated Incomplete Multi-Modal Learning of Brain Tumor Segmentation.

IEEE journal of biomedical and health informatics May 6, 2025
Multi-modal Magnetic Resonance Imaging (MRI) provide sufficient complementary information for brain tumor segmentation, however, most current approaches rely on complete modalities and may collapse with incomplete modalities. Moreover, most existing ...
Machine Learning Algorithms Databases, Factual Humans Magnetic Resonance Imaging Multimodal Imaging Image Interpretation, Computer-Assisted Brain Brain Neoplasms
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SWMA-UNet: Multi-Path Attention Network for Improved Medical Image Segmentation.

IEEE journal of biomedical and health informatics May 6, 2025
In recent years, deep learning achieves significant advancements in medical image segmentation. Research finds that integrating Transformers and CNNs effectively addresses the limitations of CNNs in managing long-distance dependencies and understandi...
Image Processing, Computer-Assisted Algorithms Humans Databases, Factual Neural Networks, Computer Deep Learning
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Towards High-Quality MRI Reconstruction With Anisotropic Diffusion-Assisted Generative Adversarial Networks and Its Multi-Modal Images Extension.

IEEE journal of biomedical and health informatics May 6, 2025
Recently, fast Magnetic Resonance Imaging reconstruction technology has emerged as a promising way to improve the clinical diagnostic experience by significantly reducing scan times. While existing studies have used Generative Adversarial Networks to...
Anisotropy Humans Generative Adversarial Networks Algorithms Image Processing, Computer-Assisted Brain Neural Networks, Computer Magnetic Resonance Imaging
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MACTFusion: Lightweight Cross Transformer for Adaptive Multimodal Medical Image Fusion.

IEEE journal of biomedical and health informatics May 6, 2025
Multimodal medical image fusion aims to integrate complementary information from different modalities of medical images. Deep learning methods, especially recent vision Transformers, have effectively improved image fusion performance. However, there ...
Humans Deep Learning Image Processing, Computer-Assisted Multimodal Imaging Algorithms Brain
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