AIMC Topic: Humans

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Real-Time Epileptic Seizure Prediction Method With Spatio-Temporal Information Transfer Learning.

IEEE journal of biomedical and health informatics Mar 6, 2025
Despite numerous studies aimed at improving accuracy, the accurate prediction of epileptic seizures remains a challenge in clinical practice due to the high computational cost, poor real-time performance, and over-reliance on labelled data. To addres...
Epilepsy Seizures Signal Processing, Computer-Assisted Male Electroencephalography Humans Female Young Adult Adult Neural Networks, Computer Machine Learning Databases, Factual
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Unsupervised Neural Decoding to Predict Dexterous Multi-Finger Flexion and Extension Forces.

IEEE journal of biomedical and health informatics Mar 6, 2025
Accurate control over individual fingers of robotic hands is essential for the progression of human-robot interactions. Accurate prediction of finger forces becomes imperative in this context. The state-of-the-art neural decoders can extract neural s...
Humans Female Young Adult Adult Male Muscle, Skeletal Unsupervised Machine Learning Signal Processing, Computer-Assisted Electromyography Fingers Motor Neurons
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A Lightweight Deep Convolutional Neural Network Extracting Local and Global Contextual Features for the Classification of Alzheimer's Disease Using Structural MRI.

IEEE journal of biomedical and health informatics Mar 6, 2025
Recent advancements in the classification of Alzheimer's disease have leveraged the automatic feature generation capability of convolutional neural networks (CNNs) using neuroimaging biomarkers. However, most of the existing CNN-based methods often d...
Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Alzheimer Disease Neural Networks, Computer Neuroimaging Databases, Factual Brain Deep Learning Convolutional Neural Networks
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Syn-Net: A Synchronous Frequency-Perception Fusion Network for Breast Tumor Segmentation in Ultrasound Images.

IEEE journal of biomedical and health informatics Mar 6, 2025
Accurate breast tumor segmentation in ultrasound images is a crucial step in medical diagnosis and locating the tumor region. However, segmentation faces numerous challenges due to the complexity of ultrasound images, similar intensity distributions,...
Breast Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Female Breast Neoplasms Deep Learning Ultrasonography, Mammary Humans
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AdaptEEG: A Deep Subdomain Adaptation Network With Class Confusion Loss for Cross-Subject Mental Workload Classification.

IEEE journal of biomedical and health informatics Mar 6, 2025
EEG signals exhibit non-stationary characteristics, particularly across different subjects, which presents significant challenges in the precise classification of mental workload levels when applying a trained model to new subjects. Domain adaptation...
Humans Algorithms Female Electroencephalography Signal Processing, Computer-Assisted Workload Adult Male Deep Learning
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Automatic Segmentation of Bone Graft in Maxillary Sinus via Distance Constrained Network Guided by Prior Anatomical Knowledge.

IEEE journal of biomedical and health informatics Mar 6, 2025
Maxillary Sinus Lifting is a crucial surgical procedure for addressing insufficient alveolar bone mass andsevere resorption in dental implant therapy. To accurately analyze the geometry changesof the bone graft (BG) in the maxillary sinus (MS), it is...
Postoperative Period Maxilla Image Processing, Computer-Assisted Humans Preoperative Period Alveolar Ridge Augmentation Artifacts Deep Learning Maxillary Sinus Datasets as Topic
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Learning Consistent Semantic Representation for Chest X-ray via Anatomical Localization in Self-Supervised Pre-Training.

IEEE journal of biomedical and health informatics Mar 6, 2025
Despite the similar global structures in Chest X-ray (CXR) images, the same anatomy exhibits varying appearances across images, including differences in local textures, shapes, colors, etc. Learning consistent representations for anatomical semantics...
Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Humans Thorax Supervised Machine Learning Algorithms Semantics
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LUCF-Net: Lightweight U-Shaped Cascade Fusion Network for Medical Image Segmentation.

IEEE journal of biomedical and health informatics Mar 6, 2025
The performance of modern U-shaped neural networks for medical image segmentation has been significantly enhanced by incorporating Transformer layers. Although Transformer architectures are powerful at extracting global information, its ability to ca...
Databases, Factual Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Magnetic Resonance Imaging
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OMS-CNN: Optimized Multi-Scale CNN for Lung Nodule Detection Based on Faster R-CNN.

IEEE journal of biomedical and health informatics Mar 6, 2025
The global increase in lung cancer cases, often marked by pulmonary nodules, underscores the critical importance of timely detection to mitigate cancer progression and reduce morbidity and mortality. The Faster R-CNN approach is a two-stage, high-pre...
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Lung Algorithms Lung Neoplasms Tomography, X-Ray Computed
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NPENN: A Noise Perturbation Ensemble Neural Network for Microbiome Disease Phenotype Prediction.

IEEE journal of biomedical and health informatics Mar 6, 2025
With advances in microbiomics, the crucial role of microbes in disease progression is increasingly recognized. However, predicting disease phenotypes using microbiome data remains challenging due to data complexity, heterogeneity, and limited model g...
Phenotype Computational Biology Microbiota Humans Neural Networks, Computer
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