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Search Results - software+%26+algorithms+%3e+image+processing
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Hess Screen Test Chart Digitalization Tool (Case No. 2024-164)
Summary UCLA researchers have developed a software-based digitizer for Hess Screen Test (HST) charts that automates extraction of gaze misalignment measurements across the visual field, converting paper charts into precise numerical eye-angle data. The system is faster, more repeatable, and more scalable than manual annotation. IOVS Background The...
Published: 9/16/2025
|
Inventor(s):
Qi Wei
,
Andrew Ryan
,
Joseph Demer
Keywords(s):
Category(s):
Software & Algorithms
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems
Virtual Angiography for Aneurysm Risk Assessment (Case No. 2025-256)
Summary UCLA researchers have developed a virtual angiography system for aneurysm risk assessment that uses computational fluid dynamics (CFD) and patient-specific vascular reconstructions to identify unstable cerebral aneurysms. By simulating blood flow and contrast transport, the system produces virtual angiograms and calculates diagnostic metrics...
Published: 9/12/2025
|
Inventor(s):
Juan Cebral
,
Naoki Kaneko
Keywords(s):
Category(s):
Software & Algorithms
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems
,
Medical Devices > Hospital Systems
,
Diagnostic Markers
Method and Apparatus for Segmentation of Dense MR Images Using Deep Learning with Domain Adaptation (Case No. 2025-208)
Summary: UCLA researchers from the Department of Radiological Sciences have developed a deep learning-based segmentation framework that enables fully automated and reproducible analysis of left ventricular (LV) function in Displacement Encoding with Stimulated Echoes (DENSE) MRI. Background: Myocardial strain is a key metric for analyzing how much...
Published: 8/18/2025
|
Inventor(s):
Xiaodong Zhong
,
Siyue Li
,
Kim-Lien Nguyen
Keywords(s):
acute myocardial infarction
,
adjustable mount
,
aneurysm drainage
,
automatic leveling
,
bedside decisions
,
blood pressure monitoring
,
cardiac cycle
,
Cardiac Electrophysiology
,
Cardiac failure
,
Cardiac Magnetic Resonance Imaging
,
Cardiac MRI
,
Cardiovascular
,
Cardiovascular Disease
,
Cardiovascular Disease Nephropathy
,
cardiovascular diseases
,
cardiovascular monitoring
,
cerebrospinal fluid (CSF) drainage
,
Cine MRI
,
clamp
,
critical-care
,
CSF drainage
,
Deep learning MRI
,
DENSE MRI
,
laser alignment
,
Left ventricular segmentation
,
lumbar drains
,
Motion analysis
,
MRI
,
multiparametric MRI (mpMRI)
,
Myocardial strain
,
non-invasive cardiac monitoring
,
operator variability
,
passive reflective target
,
phlebostatic axis measurement
,
Pseudo-labeling
,
radial MRI
,
Segment Anything Model (SAM)
,
self-leveling system
,
transducer alignment
,
Unsupervised domain adaptation (UDA)
Category(s):
Medical Devices > Cardiac
,
Electrical > Imaging
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Image Processing
,
Therapeutics > Cardiovascular
,
Therapeutics > Radiology
,
Medical Devices > Medical Imaging > MRI
,
Medical Devices > Medical Imaging
Methods and Systems for Low-Cost Medical Image Annotation Using Non-experts (Case No. 2025-108)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-based interface designed to enable individuals without specialized training to identify arthritis in medical imaging. Background: The use of artificial intelligence (AI) for medical imaging analysis holds great promise for the future of healthcare....
Published: 7/23/2025
|
Inventor(s):
Xiang Chen
,
Youngseung Jeon
,
Christopher Hwang
Keywords(s):
3D tissue imaging
,
AI-guided diagnostics
,
AI-guided medical imaging
,
AI-guided medical intervention
,
arthritis
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence algorithms
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
Artificial Neural Network
,
bioimaging
,
Computer-Aided Diagnosis
,
computer-aided radiology
,
Diagnostic Markers & Platforms
,
Diagnostic Test
,
diagnostics
,
generative artificial intelligence
,
Image Analysis
,
Image Resolution
,
Imaging
,
infrared thermal imaging
,
Machine Learning
,
machine learning modeling
,
machine perception
,
Magnetic Resonance Imaging Medical Physics
,
Magnetic Resonance Imaging Pathology
,
Medical artificial intelligence (AI)
,
Medical diagnostics
,
Medical Imaging
,
Microscopy And Imaging
,
non-invasive imaging
,
osteoarthritis
,
radial MRI
,
radiologic imaging
,
Radiology
,
Radiology / Radiomitigation
,
radiosurgery
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
,
Life Science Research Tools
,
Life Science Research Tools > Lab Equipment
,
Life Science Research Tools > Microscopy And Imaging
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems
,
Therapeutics
,
Therapeutics > Musculoskeletal Disease
,
Therapeutics > Radiology
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: 7/25/2025
|
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
Low-Power Synthesizer-Free Self-Injection Locked Radar (Case No. 2024-190)
Summary: Researchers at UCLA’s Department of Electrical and Computer Engineering have developed a novel synthesizer-free phase imaging radar that generates high-resolution images with low power consumption. Background: Imaging radars are used in various applications, from self-driving cars and aircraft navigation to medical screening. Traditional...
Published: 8/20/2025
|
Inventor(s):
Sidharth Thomas
,
Wei Sun
,
Aydin Babakhani
Keywords(s):
Antennas/Wireless
,
Biosensor
,
Continuous-Wave Radar
,
Electrical
,
Frequency conversion
,
High-resolution
,
Image Resolution
,
Imaging
,
low-power device
,
Phase (Waves)
,
Phase-Contrast Imaging
,
Radar
,
Radar / Antennae
,
satellite imaging
,
Signal-To-Noise Ratio
Category(s):
Electrical > Imaging
,
Software & Algorithms > Image Processing
,
Electrical
,
Electrical > Wireless > Antennas
Batch Processing Automation for Imaris Stitcher (Case No. 2025-089)
Summary: Researchers in UCLA’s Department of Neurobiology have developed a novel software tool that enhances the capabilities of Imaris Stitcher. The tool enables batch processing and automated execution of multiple image stitching jobs, significantly improving workflow efficiency and reducing hands-on time. This results in readily available,...
Published: 7/14/2025
|
Inventor(s):
Ian Bowman
,
Mitchell Rudd
,
Hong Wei Dong
Keywords(s):
3D tissue imaging
,
3D ultrasound imaging
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence algorithms
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
artificial-intelligent materials
,
bioimaging
,
Cell Counting/Imaging
,
cell imaging
,
cell mapping
,
computational imaging
,
Data Acquisition
,
Data Aggregator
,
Data Analytics
,
Data Recovery
,
Data Structure
,
Fluorescence Microscope
,
histopathology images
,
Image Analysis
,
image restoration
,
image signal processing
,
Imaging
,
Magnetic Resonance Imaging
,
Medical artificial intelligence (AI)
,
Medical Imaging
,
Microscope
,
Microscopy
,
Microscopy And Imaging
,
Molecular Imaging
,
multi-contrast imaging
,
Neuroimaging
,
non-invasive imaging
,
pathology image analysis
,
Phase-Contrast Imaging
,
three dimensional imaging
,
volumetric image
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
A Data-Driven Approach to Quality Assurance for Imagers (Radiologists) Individually and Imaging Departments as a Whole (Case No. 2014-501)
Summary: UCLA researchers have developed innovative software that streamlines radiological data analysis to enhance patient outcomes, evaluate radiologist performance, and assess AI algorithms in a way that mirrors radiologist decision-making. Background: Radiological imaging is critical to disease diagnosis and treatment planning for a wide array...
Published: 8/8/2025
|
Inventor(s):
Dieter Enzmann
,
Corey Arnold
,
Alex Bui
,
William Hsu
Keywords(s):
3D tissue imaging
,
3D ultrasound imaging
,
bioimaging
,
cell imaging
,
computational imaging
,
computational imaging task
,
Imaging
,
Magnetic Resonance Imaging
,
Magnetic Resonance Imaging Medical Physics
,
Magnetic Resonance Imaging Pathology
,
Magnetic Resonance Imaging Spin Polarization
,
Medical Imaging
,
Molecular Imaging
,
multi-contrast imaging
,
non-invasive imaging
,
Radiology
,
Radiology / Radiomitigation
,
three dimensional imaging
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Digital Health
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems
Positive Unlabeled Learning With Bias Mitigation for Fair Prediction of Undiagnosed Alzheimer’s Disease (Case No. 2025-113)
Summary: UCLA researchers in the Department of Neurology have developed a software to predict the diagnosis of Alzheimer’s Disease without racial or ethnic biases. Background: Alzheimer’s Disease (AD) represents a major health and economic challenge in the United States. Despite its prevalence, Alzheimer’s remains significantly...
Published: 8/19/2025
|
Inventor(s):
Timothy Chang
Keywords(s):
Alzheimers disease
,
artificial intelligence/machine learning models
,
electronic health records (EHR)
,
medical bias reduction
,
Neurodegeneration Alzheimer's Disease Predictive Testing
,
neurological disorders
,
Neurology
,
personalized medicine
Category(s):
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Data Analytics
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Programs
,
Diagnostic Markers > Aging
,
Therapeutics > CNS and Neurology
Blurryscope (Case No. 2025-070)
Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed a cost-effective digital scanning microscope to improve pathological screening. Background: High quality pathological imaging systems are essential to carefully assess tissue sectioning samples and produce accurate diagnoses for patients. Digitization...
Published: 6/11/2025
|
Inventor(s):
Aydogan Ozcan
,
Michael Fanous
,
Christopher Seybold
Keywords(s):
Category(s):
Electrical
,
Electrical > Imaging
,
Electrical > Instrumentation
,
Life Science Research Tools
,
Life Science Research Tools > Lab Equipment
,
Life Science Research Tools > Microscopy And Imaging
,
Optics & Photonics
,
Optics & Photonics > Microscopy
,
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Image Processing
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