AIMC Topic: Algorithms

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A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading.

IEEE journal of biomedical and health informatics May 6, 2025
As the most common complication of diabetes, diabetic retinopathy (DR) is one of the main causes of irreversible blindness. Automatic DR grading plays a crucial role in early diagnosis and intervention, reducing the risk of vision loss in people with...
Diabetic Retinopathy Neural Networks, Computer Humans Fundus Oculi Retina Image Interpretation, Computer-Assisted Algorithms Deep Learning
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PMMNet: A Dual Branch Fusion Network of Point Cloud and Multi-View for Intracranial Aneurysm Classification and Segmentation.

IEEE journal of biomedical and health informatics May 6, 2025
Intracranial aneurysm (IA) is a vascular disease of the brain arteries caused by pathological vascular dilation, which can result in subarachnoid hemorrhage if ruptured. Automatically classification and segmentation of intracranial aneurysms are esse...
Intracranial Aneurysm Humans Neural Networks, Computer Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Algorithms
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Adaptive Cross-Feature Fusion Network With Inconsistency Guidance for Multi-Modal Brain Tumor Segmentation.

IEEE journal of biomedical and health informatics May 6, 2025
In the context of contemporary artificial intelligence, increasing deep learning (DL) based segmentation methods have been recently proposed for brain tumor segmentation (BraTS) via analysis of multi-modal MRI. However, known DL-based works usually d...
Image Interpretation, Computer-Assisted Brain Brain Neoplasms Magnetic Resonance Imaging Multimodal Imaging Deep Learning Neural Networks, Computer Algorithms Humans
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PEARL: Cascaded Self-Supervised Cross-Fusion Learning for Parallel MRI Acceleration.

IEEE journal of biomedical and health informatics May 6, 2025
Supervised deep learning (SDL) methodology holds promise for accelerated magnetic resonance imaging (AMRI) but is hampered by the reliance on extensive training data. Some self-supervised frameworks, such as deep image prior (DIP), have emerged, elim...
Algorithms Brain Deep Learning Humans Supervised Machine Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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A framework for real-time traffic risk prediction incorporating cost-sensitive learning and dynamic thresholds.

Accident; analysis and prevention May 5, 2025
In recent years, researchers have explored an innovative approach that leverages real vehicle trajectory data to simultaneously derive traffic state and risk level for real-time risk prediction, which is crucial for traffic safety. However, existing ...
Risk Assessment Humans Accidents, Traffic Algorithms Machine Learning Automobile Driving Reproducibility of Results
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A Novel 3D Approach with a CNN and Swin Transformer for Decoding EEG-Based Motor Imagery Classification.

Sensors (Basel, Switzerland) May 5, 2025
Motor imagery (MI) is a crucial research field within the brain-computer interface (BCI) domain. It enables patients with muscle or neural damage to control external devices and achieve movement functions by simply imagining bodily motions. Despite t...
Humans Neural Networks, Computer Signal-To-Noise Ratio Movement Imagination Algorithms Electroencephalography Deep Learning Signal Processing, Computer-Assisted Brain-Computer Interfaces
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MDEU-Net: Medical Image Segmentation Network Based on Multi-Head Multi-Scale Cross-Axis.

Sensors (Basel, Switzerland) May 5, 2025
Significant advances have been made in the application of attention mechanisms to medical image segmentation, and these advances are notably driven by the development of the cross-axis attention mechanism. However, challenges remain in handling compl...
Diagnostic Imaging Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Latent space autoencoder generative adversarial model for retinal image synthesis and vessel segmentation.

BMC medical imaging May 5, 2025
Diabetes is a widespread condition that can lead to serious vision problems over time. Timely identification and treatment of diabetic retinopathy (DR) depend on accurately segmenting retinal vessels, which can be achieved through the invasive techni...
Deep Learning Retinal Vessels Humans Image Interpretation, Computer-Assisted Diabetic Retinopathy Neural Networks, Computer Fundus Oculi Autoencoder Image Processing, Computer-Assisted Algorithms
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M-DeepAssembly: enhanced DeepAssembly based on multi-objective multi-domain protein conformation sampling.

BMC bioinformatics May 5, 2025
BACKGROUND: Association and cooperation among structural domains play an important role in protein function and drug design. Despite remarkable advancements in highly accurate single-domain protein structure prediction through the collaborative effor...
Deep Learning Computational Biology Proteins Algorithms Protein Domains Protein Conformation Databases, Protein Models, Molecular
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Optimizing non small cell lung cancer detection with convolutional neural networks and differential augmentation.

Scientific reports May 5, 2025
Lung cancer remains one of the leading causes of cancer-related deaths worldwide, with early detection being critical to improving patient outcomes. Recent advancements in deep learning have shown promise in enhancing diagnostic accuracy, particularl...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Humans Deep Learning Neural Networks, Computer Convolutional Neural Networks Algorithms
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