AIMC Topic: Deep Learning

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Vision transformer and deep learning based weighted ensemble model for automated spine fracture type identification with GAN generated CT images.

Scientific reports Apr 25, 2025
The most common causes of spine fractures, or vertebral column fractures (VCF), are traumas like falls, injuries from sports, or accidents. CT scans are affordable and effective at detecting VCF types in an accurate manner. VCF type identification in...
Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Spinal Fractures
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FusionXNet: enhancing EEG-based seizure prediction with integrated convolutional and Transformer architectures.

Journal of neural engineering Apr 25, 2025
. Effective seizure prediction can reduce patient burden, improve clinical treatment accuracy, and lower healthcare costs. However, existing deep learning-based seizure prediction methods primarily rely on single models, which have limitations in fea...
Humans Neural Networks, Computer Electroencephalography Seizures Deep Learning
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A divide-and-conquer approach based on deep learning for long RNA secondary structure prediction: Focus on pseudoknots identification.

PloS one Apr 25, 2025
The accurate prediction of RNA secondary structure, and pseudoknots in particular, is of great importance in understanding the functions of RNAs since they give insights into their folding in three-dimensional space. However, existing approaches ofte...
RNA, Long Noncoding Deep Learning Software RNA Folding Algorithms Computational Biology Nucleic Acid Conformation RNA
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ProtoASNet: Comprehensive evaluation and enhanced performance with uncertainty estimation for aortic stenosis classification in echocardiography.

Medical image analysis Apr 24, 2025
Aortic stenosis (AS) is a prevalent heart valve disease that requires accurate and timely diagnosis for effective treatment. Current methods for automated AS severity classification rely on black-box deep learning techniques, which suffer from a low ...
Humans Severity of Illness Index Deep Learning Aortic Valve Stenosis Neural Networks, Computer Echocardiography Image Interpretation, Computer-Assisted Uncertainty
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TransAnno-Net: A Deep Learning Framework for Accurate Cell Type Annotation of Mouse Lung Tissue Using Self-supervised Pretraining.

Computer methods and programs in biomedicine Apr 24, 2025
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has become a significant tool for addressing complex issuess in the field of biology. In the context of scRNA-seq analysis, it is imperative to accurately determine the type of each cell. However, co...
Sequence Analysis, RNA Supervised Machine Learning Lung Deep Learning Mice Computational Biology Single-Cell Analysis Algorithms Animals
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Deep learning modelling to forecast emergency department visits using calendar, meteorological, internet search data and stock market price.

Computer methods and programs in biomedicine Apr 24, 2025
BACKGROUND: Accurate prediction of hospital emergency department (ED) patient visits and acuity levels have potential to improve resource allocation including manpower planning and hospital bed allocation. Internet search data have been used in medic...
Humans Neural Networks, Computer Forecasting Internet Commerce Emergency Room Visits Deep Learning Emergency Service, Hospital
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Deep learning for fetal inflammatory response diagnosis in the umbilical cord.

Placenta Apr 24, 2025
INTRODUCTION: Inflammation of the umbilical cord can be seen as a result of ascending intrauterine infection or other inflammatory stimuli. Acute fetal inflammatory response (FIR) is characterized by infiltration of the umbilical cord by fetal neutro...
Fetal Diseases Umbilical Cord Deep Learning Inflammation Pregnancy Female Humans
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A review of multimodal fusion-based deep learning for Alzheimer's disease.

Neuroscience Apr 24, 2025
Alzheimer's Disease (AD) as one of the most prevalent neurodegenerative disorders worldwide, characterized by significant memory and cognitive decline in its later stages, severely impacting daily lives. Consequently, early diagnosis and accurate ass...
Alzheimer Disease Positron-Emission Tomography Neuroimaging Humans Deep Learning Magnetic Resonance Imaging Brain Multimodal Imaging
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Enhanced EEG-based Alzheimer's disease detection using synchrosqueezing transform and deep transfer learning.

Neuroscience Apr 24, 2025
The most prevalent type of dementia and a progressive neurodegenerative disease, Alzheimer's disease has a major influence on day-to-day functioning due to memory loss, cognitive decline, and behavioral problems. By using synchrosqueezing representat...
Signal Processing, Computer-Assisted Alzheimer Disease Deep Learning Electroencephalography Brain Male Humans Neural Networks, Computer
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A Flexible and Adhesive Strain Sensor Based on Deep Eutectic Solvents for Deep Learning-Assisted Signal Recognition.

ACS applied materials & interfaces Apr 24, 2025
Flexible wearable electronic devices have garnered significant interest due to their inherent properties, serving as replacements for traditional rigid metal conductors in personal healthcare monitoring, human motion detection, and sensory skin appli...
Tensile Strength Adhesives Acrylic Resins Solvents Humans Deep Learning Wearable Electronic Devices
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