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Potential of Near-Infrared Optical Techniques for Non-invasive Blood Glucose Measurement: A Pilot Study
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Corrigendum to “Automatic Detection of Severely and Mildly Infected COVID-19 Patients with Supervised Machine Learning Models” [IRBM (2023) 100725]
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Effect of skeletal muscle immobilization on regional anisotropic viscohyperelastic properties change in a rat model
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Real-time accuracy evaluation of arterial catheter transducer systems
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Comprehensive Review of Feature Extraction Techniques for sEMG Signal Classification: From Handcrafted Features to Deep Learning Approaches
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Mechanical work and metabolic cost of walking with knee-foot prostheses: a study with a prosthesis simulator
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Corrigendum to “Transition Network-Based Analysis of Electrodermal Activity Signals for Emotion Recognition” [IRBM 45 (2024) 100849]
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An Ensemble Learning System Based on Stacking Strategy for Survival Risk Prediction of Patients with Esophageal Cancer
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Evaluation of a Multimodal Confocal Therapeutic Focused Ultrasound Apparatus: Bridging Cavitation, Thermal Ablation, and Histotripsy in Preclinical Treatments
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Predicting the shape of corneas from clinical data with machine learning models
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A Nonlinear Analysis of Nociceptive Flexion Reflex Changes Before and After Acute Inflammation
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Electrocardiogram Signal Compression Using Deep Convolutional Autoencoder with Constant Error and Flexible Compression Rate
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Synchronized Diabetes Monitoring System: Development of Smart Mobile Apparatus for Diabetes Using Insulin
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Gaussianity Evaluation of HD-sEMG Signals with Aging and Sex During Low and Moderate Isometric Contractions of the Biceps Brachii
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AI-Enabled Clinical Decision Support System Modeling for the Prediction of Cirrhosis Complications
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Transition Network-Based Analysis of Electrodermal Activity Signals for Emotion Recognition
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Attention-based neural network for cardiac MRI segmentation: application to strain and volume computation
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Influence of Image Factors on the Performance of Ophthalmic Ultrasound Deep Learning Model
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Automatic classification framework for neonatal seizure using Wavelet scattering transform and Nearest component analysis
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Optimizing Uterine Synchronization Analysis in Pregnancy and Labor through Window Selection and Node Optimization
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Subject-specific probability maps of scalp, skull and cerebrospinal fluid for cranial bones segmentation in neonatal cerebral MRIs
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A Multi-dimensional Aggregation Network Guided by Key Features for Plaque Echo Classification Based on Carotid Ultrasound Video
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Interpersonal motor coordination in children with autism and the establishment of machine learning models to objectively classify children with autism and typical development
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Body water volume estimation using bio impedance analysis: Where are we?
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MMANet: A multi-task residual network for Alzheimer's disease classification and brain age prediction
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Overdistention accelerates electrophysiological changes in uterine muscle towards labour in multiple gestations
Overdistention accelerates electrophysiological changes in uterine muscle towards labour in multiple gestations
Background for the researchPremature birth and its associated complications are one of the biggest global health problems,...
Study of an Optimization Tool Avoided Bias for Brain-Computer Interfaces Using a Hybrid Deep Learning Model
Study of an Optimization Tool Avoided Bias for Brain-Computer Interfaces Using a Hybrid Deep Learning Model
ObjectiveThis study addresses the challenge of user-specific bias in Brain-Computer Interfaces (BCIs) by proposing a novel...
Exploring Technology-Driven Technology Roadmaps (TRM) for Wearable Biosensors in Healthcare
Exploring Technology-Driven Technology Roadmaps (TRM) for Wearable Biosensors in Healthcare
Recent advancements in medical technology, especially micro- and nanoelectronic wearable technologies, now allow for the r...
A novel QCT-based deep transfer learning approach for predicting stiffness tensor of trabecular bone cubes
A novel QCT-based deep transfer learning approach for predicting stiffness tensor of trabecular bone cubes
Boutroy, S., M. L. Bouxsein, F. Munoz, and P. D. Delmas. 2005. ‘In vivo assessment of trabecular bone microarchitecture......
High-Order Temporal Convolutional Network for Improving Classification Performance of SSVEP-EEG
High-Order Temporal Convolutional Network for Improving Classification Performance of SSVEP-EEG
Modern brain-computer interfaces (BCIs) have developed as an important branch of brain science by connecting the brain neu...
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