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Search Results - electrical+%3e+imaging
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Snapshot Multispectral Imaging Using a Diffractive Optical Network (Case No. 2023-112)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a deep learning-based system to design diffractive multispectral imagers that can capture various spectral channels without the need for powered equipment. Background: The field of advanced imaging technologies has witnessed significant progression over...
Published: 4/3/2024
|
Inventor(s):
Aydogan Ozcan
,
Deniz Mengu
Keywords(s):
Category(s):
Electrical > Imaging
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Electrical > Visual Computing > Diffractive Computing
1-Micron Frequency Comb OCT System (Case No. 2023-036)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a new optical coherence tomography system for clinical imaging applications. Background: Optical coherence tomography (OCT) is a non-invasive imaging technique that is used in many clinical settings. OCT is used in ophthalmology to visualize layers...
Published: 3/20/2024
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Inventor(s):
Chee Wei Wong
,
Tristan Melton
,
James McMillan
Keywords(s):
Category(s):
Electrical
,
Electrical > Imaging
,
Electrical > Electronics & Semiconductors
,
Life Science Research Tools
,
Life Science Research Tools > Microscopy And Imaging
,
Life Science Research Tools > Animal Imaging
,
Mechanical
,
Mechanical > Instrumentation
Charge Sharing Compensation Using Coincidences for X-Ray Photon Counting Detectors (UCLA Case No. 2019-543)
Summary: UCLA researchers in the Department of Radiological Sciences have developed a novel method for coincidence counting to reduce the noise inherent in photon counting detectors. Background: The computed tomography (CT) scanning market is projected to grow from ~$6 billion to over $10 billion in 2030. Approximately 10% of this market size is...
Published: 2/28/2024
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Inventor(s):
Scott Hsieh
Keywords(s):
charge sharing
,
charge summing
,
Computed tomography
,
CT
,
High resolution computed tomography
,
Medical Imaging
,
nanophotonics
,
Photon
,
Photon counting
,
photonic materials
,
Photonic structures
,
Photonics
,
pileup
,
spectral CT
,
X-Ray Computed Tomography
,
X-ray detectors
Category(s):
Optics & Photonics
,
Medical Devices > Medical Imaging > CT
,
Medical Devices
,
Electrical > Imaging
Watch Your Mouth: Silent Speech Recognition With Wearable Depth Sensing on Smartwatches (Case No. 2023-266)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a technology for high-accuracy, real-time lip-reading that can be integrated into wearable smart devices. Background: Silent speech is a promising interaction modality for information flow between human users and ambient intelligence. A current hole...
Published: 3/26/2024
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Inventor(s):
Yang Zhang
,
Xue Wang
,
Zixiong Su
Keywords(s):
Augmented Reality
,
Machine Vision
,
object recognition
,
real-time sensing/monitoring/tracking
,
wearable medical device
Category(s):
Software & Algorithms
,
Software & Algorithms > Ar/Vr
,
Electrical
,
Electrical > Imaging
Virtual Impactor-Based Label-Free Bio-Aerosol Detection Using Holography and Deep Learning (Case No. 2023-037)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a virtual aerosol detection method that combines imaging and deep learning to sense and classify bio-aerosols without any external labeling or post processing steps. Background: Bio-aerosol detection and classification is pivotal to understanding and...
Published: 2/27/2024
|
Inventor(s):
Aydogan Ozcan
,
Yi Luo
,
Tairan Liu
Keywords(s):
air quality measurement
,
Artificial Neural Network
,
bioterrorism
,
computational imaging
,
Deep learning-based sensing
,
Digital Electronics
,
Digital Holography
,
Digital Signal Processing
,
Imaging
,
label-free imaging
,
label-free sensing
,
Mass Spec
,
pollen detection
,
Sensors
,
virtual impactors
Category(s):
Electrical
,
Electrical > Sensors
,
Electrical > Imaging
,
Life Science Research Tools
,
Life Science Research Tools > Mass Spectrometry
Deep Learning-Based 3D Imaging of Fluorescent Samples from 2D Image (Case No. 2019-521)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a deep learning-based approach termed Deep-Z that enables 3D imaging of fluorescent samples using a single 2D image, without mechanical scanning, additional hardware, or a trade-off resolution or speed. Background: Three-dimensional (3D) fluorescence...
Published: 2/16/2024
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Inventor(s):
Aydogan Ozcan
,
Yair Rivenson
,
Yichen Wu
Keywords(s):
Image Processing
,
Imaging
,
Medical Imaging
,
Microscope
,
Microscopy And Imaging
Category(s):
Electrical
,
Electrical > Imaging
,
Life Science Research Tools > Microscopy And Imaging
Copyright: Smart Histopathological Image Viewer With Guidance Generated by Artificial Intelligence (Case No. 2023-103)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-guided, smart histopathological image viewer to aid clinicians in the identification of regions of interest. Background: Digital pathology has transformed traditional glass histology slides into high-resolution digital slide images, priming the...
Published: 10/25/2023
|
Inventor(s):
Xiang Chen
,
Hongyan Gu
,
Mohammad Haeri
,
Shino Magaki
Keywords(s):
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Neural Network
,
Clinical decision support system
,
Computer-Aided Diagnosis
,
Digital Health
,
Digital Pathology
,
Histopathological image analysis
,
Histopathology
,
histopathology images
,
Human-AI collaboration
,
Human-AI interaction
,
Medical artificial intelligence (AI)
,
Medical Imaging
,
pathology image analysis
Category(s):
Electrical
,
Electrical > Imaging
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Software & Algorithms
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Image Processing
A Deep-Learning Framework for Quantitative Magnetic Resonance Imaging (Case No. 2021-268)
Summary: Researchers from UCLA’s Departments of Bioengineering and Radiological Sciences have developed a novel deep learning framework for accelerated quantitative magnetic resonance imaging. Background: Fatty liver disease, or hepatic steatosis, affects nearly 2 billion people globally and has pernicious implications for deadlier diseases...
Published: 3/7/2024
|
Inventor(s):
Holden Wu
,
Shu-Fu Shih
Keywords(s):
Deep Learning
,
fat quantification
,
IIM framework
,
Imaging
,
Medical Imaging
,
Metabolic/Endocrinology
,
MRI
,
multiparametric MRI (mpMRI)
,
radial MRI
,
uncertainty estimation
Category(s):
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Medical Imaging > MRI
,
Electrical
,
Electrical > Imaging
,
Software & Algorithms
Holographic Metasurface Grating Elements for Augmented and Virtual Reality (UCLA Case No. 2022-320)
Summary: UCLA researchers from the Department of Electrical & Computer Engineering have developed a curved grating element that enables higher efficiency and resolution in augmented (AR) and virtual reality (VR) devices. Background: Grating structures are a fundamental component of AR and VR devices and are necessary for controlling the diffraction...
Published: 12/21/2023
|
Inventor(s):
Chee Wei Wong
,
Hyunpil Boo
,
Hangbo Yang
,
Yoo Seung Lee
Keywords(s):
Augmented Reality
,
augmented reality (AR)
,
Diffraction
,
Extended reality
,
Grating structure
,
Holographic metasurface grating elements
,
in-plane diffraction
,
Mixed Reality
,
Off-plane Diffraction
,
Spatial computing
,
Virtual Reality
Category(s):
Electrical > Imaging
,
Software & Algorithms
,
Software & Algorithms > Ar/Vr
,
Electrical > Displays
,
Optics & Photonics
2023-123 Systems for Covertly Creating Adverse Health Effects in Subjects
Summary: UCLA researchers in the Division of Physics and Astronomy have developed a less-than-lethal method for covertly creating adverse health effects in human subjects using particular waveforms. Background: Several less-than-lethal techniques for altering or influencing the behavior of target subjects without physical contact have been developed....
Published: 8/21/2023
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Inventor(s):
Keywords(s):
electromagnetic
,
Hardware
,
Instrumentation
,
Life Science Research Tools
,
Security and defense
,
security imaging
Category(s):
Life Science Research Tools > Animal Models
,
Electrical > Sensors
,
Electrical > Imaging
,
Medical Devices > Neural Stimulation
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