91 papers found
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KFPredict: An ensemble learning prediction framework for diabetes based on fusion of key features
Functional magnetic resonance imaging providing the brain effect mechanism of acupuncture and moxibustion treatment for depression
Deep learning-based medical image segmentation of the aorta using XR-MSF-U-Net
Deep learning-based automatic segmentation of images in cardiac radiography: A promising challenge
Risk evaluation of type B aortic dissection based on WSS-based indicators distribution in different types of aortic arch
Editorial: Cardiovascular Physiology and Medical Assessments: Physics and Engineering Perspectives
Dynamic swarm class rebalancing for the process mining of rare events
Decoding movement intent patterns based on spatiotemporal and adaptive filtering method towards active motor training in stroke rehabilitation systems
Comparative analysis of active contour and convolutional neural network in rapid left-ventricle volume quantification using echocardiographic imaging
A Special Section on Medical Image and Physics Analysis of Human Physiology and Dysfunction
A novel U-Net approach to segmenting cardiac chamber for evaluating the effect of ASO surgery
Fusing wearable and remote sensing data streams by fast incremental learning with swarm decision table for human activity recognition
Coronary arteries hemodynamics: effect of arterial geometry on hemodynamic parameters causing atherosclerosis
A Special Section on Machine Intelligence Applied to Bioinformatics and Statistical Analysis
Super-resolution of cardiac magnetic resonance images using Laplacian Pyramid based on Generative Adversarial Networks
Global channel attention networks for intracranial vessel segmentation
Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning
Neural evidence for long-term marriage shaping the functional brain network organization between couples
A Special Section on Health Informatics and Management Based on Medical Image Analysis
Deep learning-based cardiovascular image diagnosis: A promising challenge
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