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An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram
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Patchwise Trabecular Bone Reconstruction of a 2D Proximal Femur Using Deep Learning and Seamless Quilting Algorithm
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Case-Based Simulation to Support Complex Active Catheterization: Preliminary Results
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MISA-Net: A Multi-Scale Feature Interaction Network for Brain Tumor Segmentation
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Multi-Task Hierarchical Model of Medical Images Based on Alternate Interaction
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Finite Element Analysis of Knee Implant Materials Under Cyclic Loading Condition: An Analysis of Failures
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Effects of the printing angle on the properties of titanium devices printed by additive manufacturing: a systematic review
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Virtual Surgical Planning/3D Printing for the Management of Severely Comminuted Mandibular Fractures
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Hydrodynamic Alterations Produced by Subaortic Membranes: An in Vitro Study
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Effectiveness of 3D Technology-Assisted Minimally Invasive Surgery for Brainstem Hemorrhage
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Enhancing Precision and Personalization in Surgical Management of Osteogenesis Imperfecta Through Advanced Technologies: A Case Study
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Characterization and In Vivo Evaluation of Phosphate-Based Glass/TiO2 for Skull Prosthetic Application
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Monitoring and Sensing System for People's Behavior During Fall Events Based on Mobility Analysis
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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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Mechanical Work and Metabolic Cost of Walking with Knee-Foot Prostheses: A Study with a Prosthesis Simulator
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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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Electrocardiogram Signal Compression Using Deep Convolutional Autoencoder with Constant Error and Flexible Compression Rate
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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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Corrigendum to “Automatic Detection of Severely and Mildly Infected COVID-19 Patients with Supervised Machine Learning Models” [IRBM 44 (2023) 100725]
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Real-Time Accuracy Evaluation of Arterial Catheter Transducer Systems
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Potential of Near-Infrared Optical Techniques for Non-invasive Blood Glucose Measurement: A Pilot Study
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Effect of Skeletal Muscle Immobilization on Regional Anisotropic Viscohyperelastic Properties Change in a Rat Model
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Stylohyoid and Posterior Digastric Recruitment Pattern Evaluation in Swallowing and Non-swallowing Tasks
Stylohyoid and Posterior Digastric Recruitment Pattern Evaluation in Swallowing and Non-swallowing Tasks
When dealing with bio-signals, the expectations is to obtain data that provide a clear insight into what is analyzed. But ...
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...
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
The high prevalence of osteoporosis in postmenopausal women and elderlies has been increasingly drawing attention due to i...
Ultrasound Applications in Ophthalmology: A Review
Ultrasound Applications in Ophthalmology: A Review
The level of energy and its delivery mode give ultrasound a variety of physical effects that can interact with biological ...
Blockchain-Based Trusted Tracking Smart Sensing Network to Prevent the Spread of Infectious Diseases
Blockchain-Based Trusted Tracking Smart Sensing Network to Prevent the Spread of Infectious Diseases
The consequences of infectious diseases can range from mild illness to severe morbidity and mortality. Outbreaks of infect...
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...
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