Search Results - 2d+ultrasound+imaging

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Method and Apparatus for Improving the Signal-To-Noise Ratio in Multi-Dimensional Magnetic Resonance Imaging Data (Case No. 2025-204)
Summary: UCLA researchers have developed a software-based denoising method that makes cardiac MRI images clearer and more reliable, enabling more accurate heart function measurements without requiring longer scan times. Background: Cardiac MRI is a powerful imaging tool for assessing heart health because it can provide detailed pictures of how the...
Published: 11/13/2025   |   Inventor(s): Xiaodong Zhong, Shu-Fu Shih, Holden Wu, Kim-Lien Nguyen
Keywords(s): 2D ultrasound imaging, 3D tissue imaging, 3D ultrasound imaging, AI-guided medical imaging, AI-guided medical intervention, bioimaging, Biologic Medical Product, Biomedical Engineering, Cardiac Magnetic Resonance Imaging, Image Analysis, Imaging, Magnetic Resonance Imaging, Magnetic Resonance Imaging Carotid Artery Stenosis, Magnetic Resonance Imaging Hypoxia (Medical), Magnetic Resonance Imaging Medical Physics, Magnetic Resonance Imaging Microangiopathy, Magnetic Resonance Imaging Pathology, Magnetic Resonance Imaging Spin Polarization, Magnetic Resonance Imaging Unmanned Aerial Vehicle, Medical artificial intelligence (AI), Medical Device, medical device cardiac monitoring, Medical Devices and Materials, Medical diagnostics, Medical Imaging
Category(s): Medical Devices > Cardiac, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Software & Algorithms > Image Processing, Software & Algorithms
Object-Detecting Deep Learning for Multi-Event Electrochemical Data (Case No. 2024-088)
Summary: UCLA researchers in the Department of Chemistry and Biochemistry developed a custom-designed deep learning architecture for object detection and mechanisms classification to streamline the experimental design of cyclic voltammograms. Background: Cyclic voltammetry, a widely used electrochemical test, serves as a crucial tool in understanding...
Published: 2/14/2025   |   Inventor(s): Chong Liu, Quanquan Gu, Benjamin Hoar, Weitong Zhang, Yuanzhou Chen
Keywords(s): 2D ultrasound imaging, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, bioelectronics, Biomaterial, electrochemical sensors, Electronics & Semiconductors, Lithium Battery, Lithium-Ion Battery, Machine Learning, Materials, Medical Devices and Materials, Medical diagnostics, Pharmaceutical Drug, Pharmaceutical testing, Rechargeable Battery, zzenergy storage
Category(s): Electrical > Electronics & Semiconductors, Energy & Environment > Energy Efficiency, Energy & Environment > Energy Storage, Energy & Environment > Water Monitoring & Treatment, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Signal Processing
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