Search Results - software+%26+algorithms+%3e+image+processing

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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: 8/15/2025   |   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: 6/16/2025   |   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: 2/14/2025   |   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
Volumetric Analysis of Multi-Dimensional Images
Summary: UCLA investigators have identified an effective and accurate algorithm for calculating the volume and surface of irregularly shaped 3D structures from points selected on an image. This method can be used to calculate geometric information for a wide range of multi-dimensional objects and has been tested accurately on calculating the size of...
Published: 2/14/2025   |   Inventor(s): Ai-Chi Chien, Bin Dong, Yu Mao, Stanley Osher
Keywords(s):  
Category(s): Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Hospital Systems, Medical Devices > Monitoring And Recording Systems, Medical Devices > Medical Imaging
VEViD: Vision Enhancement via Virtual Diffraction and Coherent Detection (Case No. 2023-083)
Summary: UCLA researchers in the Department of Electrical Engineering have developed an innovative approach to improve image quality when lighting conditions are suboptimal, that can be readily integrated with different machine learning techniques for more accurate object and face recognition. Background: The computer vision market size was valued...
Published: 2/14/2025   |   Inventor(s): Bahram Jalali, Callen MacPhee
Keywords(s):  
Category(s): Electrical, Electrical > Signal Processing, Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Security & Privacy, Optics & Photonics, Electrical > Displays, Electrical > Imaging, Life Science Research Tools, Life Science Research Tools > Microscopy And Imaging, Software & Algorithms > Artificial Intelligence & Machine Learning
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