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View Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging
Echocardiography serves as a gold standard for diagnostic imaging in cardiovascular disease since it is non-intrusive, minimally invasive, and...
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An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery
Examination of the umbilical artery with Doppler ultrasonography is performed to investigate blood supply to the fetus through the umbilical cord,...
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Mixed reality training application to perform obstetric pulsed-wave Doppler ultrasound
Pulsed-wave Doppler ultrasound is a widely used technique for monitoring pregnancies. As ultrasound equipment becomes more advanced, it becomes...
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3-D Intraventricular Vector Flow Map** Using Triplane Doppler Echo
We generalized and improved our clinical technique of two-dimensional intraventricular vector flow map** (2D-iVFM) for a full-volume...
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Object classification on noise-reduced and augmented micro-doppler radar spectrograms
The classification of targets is one of the most challenging tasks in radar signal processing. Classifying a target can help radar operators figure...
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Application and prospects of AI-based radiomics in ultrasound diagnosis
Artificial intelligence (AI)-based radiomics has attracted considerable research attention in the field of medical imaging, including ultrasound...
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Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging
Mitral regurgitation (MR) is a heart valve disease with potentially fatal consequences that can only be forestalled through timely diagnosis and...
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Multichannel heuristic learning based single layer neural network filter for mixed noise suppression from color Doppler ultrasound images
Mixed noise suppression from color Doppler ultrasound (CDUS) images is always a challenging task because the noise distribution usually does not have...
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Image Analysis and Enhancement: General Methods and Biomedical Applications
AbstractGeneral methods of image processing, analysis and enhancement and their biomedical applications developed by the scientific school of the...
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Recent trend in medical imaging modalities and their applications in disease diagnosis: a review
Medical Imaging (MI) plays a crucial role in healthcare, including disease diagnosis, treatment, and continuous monitoring. The integration of...
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Data portability for activities of daily living and fall detection in different environments using radar micro-doppler
The health status of an older or vulnerable person can be determined by looking into the additive effects of aging as well as any associated...
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An Image-Based Computational Model of the Newborn Cardiovascular System with Term and Preterm Applications
Computational modelling is a well-established tool for understanding cardiovascular physiology, yet very few models of the neonatal circulation have...
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4D Flow Magnetic Resonance Imaging for Left Atrial Haemodynamic Characterization and Model Calibration
4D flow magnetic resonance imaging (MRI) and in-silico simulations have seen widespread use in the characterization of blood flow patterns in the...
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Stepped frequency chirp signal imaging radar jamming using two-dimensional nonperiodic phase modulation
Stepped frequency chirp signal obtains high-resolution radar images by synthesizing multiple narrowband chirp pulses. It has been one of the most...
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Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology
Photoacoustic imaging (PAI) is often performed simultaneously with ultrasound imaging and can provide functional and cellular information regarding...
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A Novel Method Based on Gunnar Farneback Method, Mathematical Morphology, and Artificial Vision for Flow Analysis in Electrochemical Reactors
Parallel flat plate electrochemical reactors are versatile devices that are used in a wide range of applications, including hydrogen production,...
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Activity Recognition Through Micro-Doppler Image Based on Improved Faster R-CNN
A method for activity recognition through Micro-Doppler image based on improved Faster R-CNN is presented. The data captured by millimeter wave radar...
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Enhancing the Deep Learning-Based Breast Tumor Classification Using Multiple Imaging Modalities: A Conceptual Model
Breast tumors’ preliminary and unambiguous prognosis is critical for early detection and diagnosis. A specific study has established automated...
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Reinforcement Learning for Active Modality Selection During Diagnosis
Diagnosis through imaging generally requires the combination of several modalities. Algorithms for data fusion allow merging information from...
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Segmentation of Aliasing Artefacts in Ultrasound Color Flow Imaging Using Convolutional Neural Networks
Color flow imaging is a biomedical ultrasound modality used to visualize blood flow dynamics in the blood vessels, which are correlated with...