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Search Results - image+processing
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A Denoising Technique for Multi-Contrast Multi-Coil Magnetic Resonance Imaging (Case No. 2024-233)
Summary: UCLA researchers in the Department of Radiological Sciences have developed a novel MRI denoising technique that enhances image clarity, sensitivity, and precision by significantly reducing distortion and noise. Background: Magnetic resonance imaging (MRI) is critical for medical diagnosis, but image quality depends on achieving a high signal-to-noise...
Published: 7/2/2025
|
Inventor(s):
Holden Wu
,
Shu-Fu Shih
,
Zhaohuan Zhang
Keywords(s):
Cardiac Magnetic Resonance Imaging
,
Image Processing
,
Magnetic Resonance Imaging
,
Magnetic Resonance Imaging Carotid Artery Stenosis
,
Magnetic Resonance Imaging Hypoxia (Medical)
,
Magnetic Resonance Imaging Medical Physics
,
Magnetic Resonance Imaging Pathology
,
Medical Device
,
medical device cardiac monitoring
,
Medical Devices and Materials
,
Medical diagnostics
,
Medical Imaging
,
MRI
,
multi-contrast imaging
,
Signal-To-Noise Ratio
Category(s):
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems
,
Medical Devices > Medical Imaging > MRI
Monitoring Structural Health Using Diffractive Optical Processors (Case No. 2025-201)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel structural health monitoring system that is highly accurate and cost effective, addressing limitations in current infrastructure and civil health monitoring and a rise in public safety concerns. Background: The need for structural health monitoring...
Published: 6/25/2025
|
Inventor(s):
Aydogan Ozcan
,
Ertugrul Taciroglu
,
Yuntian Wang
,
Yuhang Li
Keywords(s):
3D structures
,
Adaptive Optics
,
AI-generated images and content
,
all-optical diffractive computing
,
all-optical transformation
,
analog computing
,
analog optical computing
,
Analogue Electronics
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence algorithms
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
artificial-intelligent materials
,
civil engineering
,
civil infrastructure
,
civil monitoring
,
computational imaging
,
computational imaging task
,
Construction
,
deep diffractive network
,
Diffraction
,
diffractive design
,
diffractive image reconstruction
,
diffractive network
,
diffractive processor
,
diffractive surface
,
digital image reconstruction
,
electromagnetic spectrum
,
Electro-Optics
,
Image Analysis
,
Image Processing
,
Image Resolution
,
image restoration
,
image signal processing
,
Imaging
,
Infrastructure
,
Lens (Optics)
,
linear optics
,
Nanostructure
,
optical processor
,
optically-guided structural monitoring
,
Optics
,
passive light-matter interactions
,
security imaging
,
Signal Reconstruction
,
Structural health monitoring
,
structural health monitoring (SHM)
,
structure monitoring
,
Structures
Category(s):
Electrical
,
Electrical > Signal Processing
,
Electrical > Imaging
,
Materials
,
Materials > Construction Materials
,
Electrical > Visual Computing
,
Electrical > Computing Hardware
,
Electrical > Instrumentation
,
Energy & Environment
,
Energy & Environment > Energy Efficiency
,
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms >
Image Processing
,
Software & Algorithms > Programs
Algorithm for Identifying Images of Fluorescently-Labeled Cells
Improves the ability to distinguish multiple fluorophores with overlapping emission spectra in biological images of labeled cells by a factor of two or more. Background: Cells (including normal and tumor cells), tissues, microbial communities, and other biological systems generally consist of multiple interacting components, especially proteins...
Published: 5/13/2025
|
Inventor(s):
Alex Valm
,
Yunlong Feng
Keywords(s):
bacterial cells
,
bacterial infection
,
bioengineering
,
biofilm control
,
bioinformatics
,
biomarker diagnostics
,
biomarkers
,
cancer
,
cell biology
,
computational biology
,
dental
,
diagnostics
,
digital
image processing
,
fluorescence
,
fluorescence spectroscopy
,
gene expression analysis
,
image analysis
,
image processing
,
machine learning
,
medical imaging
,
microbial pathogenesis
,
personalized medicine
,
RNA
,
saliva
,
scanning microscopy
,
Technologies
Category(s):
Campus > University at Albany
,
Technology Classifications > Biological Materials
,
Technology Classifications > Biomedical Science and Engineering
,
Technology Classifications > Healthcare
,
Technology Classifications > Medical Imaging
,
Technology Classifications > Research Tools and Reagents
,
Technology Classifications > Therapeutics and Vaccines
,
Technology Classifications > Viral Vectors
Automated Biomarker Prediction Using Optical Coherence Tomography (Case No. 2020-467)
Summary: UCLA researchers in the Department of Computational Medicine have developed a computer program capable of automatically and accurately diagnosing optical diseases using OCT. Background: Optical diseases, such as age-related macular degeneration (AMD), are serious issues that, if left untreated, can result in partial and even complete blindness....
Published: 5/19/2025
|
Inventor(s):
Eran Halperin
,
Nadav Rakocz
,
Jeffrey Chiang
,
Muneeswar Gupta
,
Srinivas Sadda
Keywords(s):
Image Processing
,
Medical Imaging
,
Software & Algorithms
Category(s):
Medical Devices > Medical Imaging
,
Software & Algorithms >
Image Processing
Full Spectrum Computer Vision for Photon Counting CT (Case No. 2024-058)
Summary: Researchers in the Department of Radiological Sciences have developed a machine learning algorithm that processes multispectral photon counting CT data for accurate medical imaging. Background: Photon counting computed tomography (PCCT) is a tremendous engineering advancement, enabling high resolution spectral imaging with myriad applications....
Published: 2/14/2025
|
Inventor(s):
Matthew Brown
,
Dieter Enzmann
,
John Hoffman
,
Michael Mcnitt-Gray
Keywords(s):
AI algorithms
,
Algorithm
,
Algorithm Optical Coherence Tomography
,
algorithmic cancer detection
,
Artifical Intelligence (Machine Learning, Data Mining)
,
artificial electromagnetic materials
,
Artificial Intelligence
,
artificial intelligence augmentation
,
Artificial Neural Network
,
Artificial Neural Network Artificial Neuron
,
artificial-intelligent materials
,
Big Data
,
Bladder Cancer
,
blood cancers
,
Brain cancer
,
Breast Cancer
,
Cancer
,
cancer antigen
,
cancer detection
,
Cancer Immunotherapy
,
Cancer stem cells
,
cancer target
,
Computed tomography
,
CT
,
Deep Learning
,
design software
,
Digital Pathology
,
generative artificial intelligence
,
Genetic Algorithm
,
Histopathological image analysis
,
Histopathology
,
histopathology images
,
hyperparameter optimization
,
Image Analysis
,
Image Processing
,
lympathic cancers
,
lymphatic cancer
,
Medical artificial intelligence (AI)
,
Mesenchymal Stem Cell Derived Cancer Cells
,
Orthotopic cancer models
,
Pancreatic cancer
,
pathology image analysis
,
Photon counting computed tomography (PCCT)
,
prostate cancer
,
Radiology
,
Radiology / Radiomitigation
,
Software
,
Software & Algorithms
,
Software Development Tools
,
Software-enabled learning
Category(s):
Software & Algorithms
,
Software & Algorithms >
Image Processing
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Data Analytics
Rapid Sensing of Hidden Objects and Defects Using a Single-Pixel Diffractive Terahertz Processor (Case No. 2023-184)
Summary: UCLA researchers have developed a diffractive sensor that leverages deep-learning-optimized diffractive layers to rapidly detect hidden objects and defects within a 3D sample without scanning or
image processing
. Background: Inspecting hidden structures is a critical requirement in various fields, including security, manufacturing, and...
Published: 6/11/2025
|
Inventor(s):
Aydogan Ozcan
,
Jingxi Li
Keywords(s):
Deep learning-based sensing
,
Electrical
,
Electrical Engineering
,
Image Processing
,
Machine Learning
,
real-time sensing/monitoring/tracking
,
Remote Sensing
,
smart sensing
,
target detection
,
Traitler
Category(s):
Electrical
,
Electrical > Sensors
,
Optics & Photonics > Spectroscopy
,
Software & Algorithms > Artificial Intelligence & Machine Learning
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: 2/14/2025
|
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
Eye Tracking Application in Computer Aided Diagnosis and
Image Processing
in Radiology
Abstract: Medical imaging is an important resource for early diagnostic, detection, and effective treatment of cancers. However, the screening and review processes for radiologists have been shown to overlook a certain percentage of potentially cancerous image features. Such review errors may result in misdiagnosis and failure to identify tumors. These...
Published: 4/22/2025
|
Inventor(s):
Bradford Wood
,
Haydar Celik
,
Ulas Bagci
,
Ismail Turkbey
Keywords(s):
CAD
,
cc
,
Clinical Center
,
Computer Aided Diagnostics
,
DEVICE
,
Eye tracking
,
Image Processing
,
National Institutes of Health
,
NIH
,
Radiology
,
software
,
WOOD
Category(s):
Collaboration Sought > Collaboration
,
TherapeuticArea > Cardiology
,
Collaboration Sought > Licensing
,
Application > Software / Apps
,
TherapeuticArea > Oncology
The Growing Role of Digital Pathology and Machine Learning in Cancer Diagnostics (UCLA Case No. 2021-134)
Summary: Researchers at UCLA's Department of Radiological Sciences have developed an active learning methodology for digital pathology image analysis, addressing challenges posed by inconsistent annotations and revolutionizing the training of diagnostic algorithms. Background: The global digital pathology market is anticipated to experience significant...
Published: 2/14/2025
|
Inventor(s):
Corey Arnold
,
Wenyuan Li
,
Jiayun Li
,
William Speier
Keywords(s):
active learning
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
Artificial Neural Network
,
artificial-intelligent materials
,
computational imaging task
,
convolutional networks
,
curriculum learning
,
Deep Learning
,
deep physical neural network
,
Digital Pathology
,
dynamic identification
,
Histopathological image analysis
,
histopathology images
,
Image Processing
,
Magnetic Resonance Imaging Pathology
,
Medical Devices and Materials
,
Medical Imaging
,
noisy annotations
,
noisy label detection
,
pathology image analysis
Category(s):
Software & Algorithms
,
Software & Algorithms >
Image Processing
,
Electrical > Imaging
,
Medical Devices > Medical Imaging
2023-131 A Method for Video Motion Detection, Segmentation, and Compression
Summary: UCLA Researchers in the Department of Electrical and Computer Engineering have developed a new computationally efficient algorithm that detects and tracks motion in videos. Background: Computer vision and video processing have many applications in visual security and surveillance such as people counting, action recognition, anomaly detection,...
Published: 2/14/2025
|
Inventor(s):
Bahram Jalali
,
Yiming Zhou
,
Callen MacPhee
Keywords(s):
Autonomous driving
,
computational imaging
,
Computer Monitor
,
Computer Security
,
Computer Vision
,
computer vision algorithm
,
Computer-Aided Design
,
data Compression
,
Data Recovery
,
Energy Security
,
event detection
,
Human tracking
,
Image Analysis
,
image and video enhancement
,
Image Processing
,
image restoration
,
Liquid tracking
,
Metal process monitoring
,
motion detection
,
object recognition
,
real-time sensing/monitoring/tracking
,
security
,
Security and defense
,
security imaging
,
Structural health monitoring
,
Vibration monitoring
,
Vibration sensing
,
video pre-processing
,
video processing
,
visual security and surveillance
Category(s):
Software & Algorithms
,
Software & Algorithms >
Image Processing
,
Software & Algorithms > Security & Privacy
,
Software & Algorithms > Programs
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