AIMC Topic: Algorithms

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Accelerated ultrashort echo time quantitative magnetization transfer (UTE-qMT) imaging of macromolecular fraction (MMF) in cortical bone based on a self-attention convolutional neural network.

Magnetic resonance imaging May 4, 2025
PURPOSE: To combine ultrashort echo time quantitative magnetization transfer (UTE-qMT) imaging with a self-attention convolutional neural network (SAT-Net) for accelerated mapping of macromolecular fraction (MMF) in cortical bone.
Convolutional Neural Networks Image Processing, Computer-Assisted Adult Middle Aged Bone Diseases, Metabolic Cortical Bone Magnetic Resonance Imaging Tibia Neural Networks, Computer Algorithms Female Young Adult Osteoporosis Humans
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Entity replacement strategy for temporal knowledge graph query relaxation.

Neural networks : the official journal of the International Neural Network Society May 4, 2025
The temporal knowledge graph (TKG) query enables the retrieval of candidate answer lists by addressing questions that involve temporal constraints, regarded as a crucial downstream task in the realm of the temporal knowledge graph. Existing methods p...
Semantics Time Factors Information Storage and Retrieval Neural Networks, Computer Humans Algorithms
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Enhancing lung cancer detection through integrated deep learning and transformer models.

Scientific reports May 4, 2025
Lung cancer has been stated as one of the prevalent killers of cancer up to this present time and this clearly underlines the rationale for early diagnosis to enhance life expectancy of patients afflicted with the condition. The reasons behind the us...
Deep Learning Early Detection of Cancer Humans Lung Neoplasms Algorithms
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Domain knowledge-infused pre-trained deep learning models for efficient white blood cell classification.

Scientific reports May 4, 2025
White blood cell (WBC) classification is a crucial step in assessing a patient's health and validating medical treatment in the medical domain. Hence, efficient computer vision solutions to the classification of WBC will be an effective aid to medica...
Deep Learning Leukocytes Humans Algorithms Neural Networks, Computer Diagnosis, Computer-Assisted
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Generative and predictive neural networks for the design of functional RNA molecules.

Nature communications May 4, 2025
RNA is a remarkably versatile molecule that has been engineered for applications in therapeutics, diagnostics, and in vivo information-processing systems. However, the complex relationship between the sequence, structure, and function of RNA often ne...
Neural Networks, Computer Algorithms Thermodynamics RNA Nucleic Acid Conformation
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Prediction of high-risk pregnancy based on machine learning algorithms.

Scientific reports May 4, 2025
This study explores the application of machine learning algorithms in predicting high-risk pregnancy among expectant mothers, aiming to construct an efficient predictive model to improve maternal health management. The study is based on the maternal ...
Humans Machine Learning Pregnancy Female Algorithms Bangladesh Pregnancy, High-Risk Logistic Models Adult Risk Assessment Support Vector Machine
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Self-supervised learning for MRI reconstruction through mapping resampled k-space data to resampled k-space data.

Magnetic resonance imaging May 3, 2025
In recent years, significant advancements have been achieved in applying deep learning (DL) to magnetic resonance imaging (MRI) reconstruction, which traditionally relies on fully sampled data. However, real-world clinical scenarios often demonstrate...
Humans Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Supervised Machine Learning Brain
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XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans.

Medical image analysis May 3, 2025
Virtual Imaging Trials (VIT) offer a cost-effective and scalable approach for evaluating medical imaging technologies. Computational phantoms, which mimic real patient anatomy and physiology, play a central role in VITs. However, the current librarie...
Computer Simulation Tomography, X-Ray Computed Phantoms, Imaging Humans Algorithms
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Delving into transfer learning within U-Net for refined retinal vessel segmentation: An extensive hyperparameter analysis.

Photodiagnosis and photodynamic therapy May 3, 2025
Blood vessel segmentation poses numerous challenges. Firstly, blood vessels often lack sufficient contrast against the background, impeding accurate differentiation. Additionally, the overlapping nature of blood vessels complicates separating individ...
Image Processing, Computer-Assisted Retinal Vessels Algorithms Deep Learning Neural Networks, Computer Humans Machine Learning
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A dense multi-pooling convolutional network for driving fatigue detection.

Scientific reports May 3, 2025
Driver fatigue is one of the major causes of traffic accidents, particularly for drivers of large vehicles, who are more susceptible to fatigue due to prolonged driving hours and monotonous conditions during their journeys. Existing vision-based driv...
Humans Automobile Driving Neural Networks, Computer Fatigue Algorithms Accidents, Traffic
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