Search Results - deep+learning

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Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors (Case No. 2023-192)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel platform technology to facilitate the design of all-optical visual processors, which can be used to perform advanced computational tasks at the speed of light. Background: Information processing via light is a cutting-edge field among optics...

Published: 4/5/2024 | Inventor(s): Aydogan Ozcan, MD Sadman Rahman, Xilin Yang

Keywords(s): Adaptive Optics, Algorithm Optical Coherence Tomography, all-optical diffractive computing, all-optical transformation, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Atomic Force Microscopy Optical Tweezers, computational imaging, deep diffractive network, Deep Learning, Deep learning-based sensing, diffractive processor, Dispersion (Optics), Electron Microscope, Electro-Optics, fluorescence microscopy, Focus (Optics), Infrared Electromagnetic Spectrum Dispersion (Optics), interference processor, large language model (LLNMs), linear optics, linear transformations, Machine Learning, Microscope, Microscopy, Microscopy And Imaging, Near-Field Scanning Optical Microscope, neural networks, Nonlinear Optics, non-linear optics, Optical Coherence , Optical Communication , Optical computing, Optical Fiber Copper Wire And Cable, optical implementation, Optical Microscope, Optical networks, optical processor, optical transmission, Optics Parabolic Reflector Curved Mirror, phase-only diffractive network, reverse engineered optical system, Software, Software & Algorithms, Software Development Tools, spatially-incoherent light, start to end optics design, Surgical Instrument Optical Coherence Tomography, three dimensional imaging, visual computing, Waferscale Processors

Category(s): Optics & Photonics, Optics & Photonics > Microscopy, Platforms, Software & Algorithms > Image Processing, Electrical, Electrical > Signal Processing, Electrical > Computing Hardware

A System for Active Learning for Automatic Target Recognition of SAR Data (Case No. 2022-175)

Summary: UCLA's Department of Mathematics researchers have developed an innovative method for the rapid and precise interpretation of SAR imagery, setting a new standard in image analysis efficiency. Background: Synthetic aperture radar (SAR) is utilized as an image reconstruction method for a wide array of applications, including satellite...

Published: 11/28/2023 | Inventor(s): Andrea Bertozzi, Kevin Miller

Keywords(s): active learning, AI algorithms, Algorithm, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial-intelligent materials, Computer Aided Learning, Deep Learning, Deep learning-based sensing, defense applications, design software, feature space, human-in-the-loop, Imaging, Machine Learning, Medical artificial intelligence (AI), Remote Sensing, satellite imaging, Software, Software & Algorithms, Software Development Tools, Synthetic aperture radar (SAR), target detection, three dimensional imaging, Unsupervised Learning

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Security & Privacy, Software & Algorithms > Data Analytics, Software & Algorithms > Artificial Intelligence & Machine Learning

Bio-Aerosol Detection Using Mobile Microscopy and Machine Learning (Case No. 2019-722)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an air analysis instrument and accompanying virtual aerosol detection method that combines imaging and deep learning to sense and classify airborne particles without external labeling or post processing steps. Background: Air quality management, particularly...

Published: 11/7/2023 | Inventor(s): Aydogan Ozcan

Keywords(s): aerosol, Agricultural & plant biology research, air quality measurement, bioaerosol, Bioterrorism detection, Deep Learning, Deep learning-based sensing, Digital Holography, Holography, Indoor air quality monitoring, Industrial applications: food processing, fermentation, label-free sensing, pollen detection, real-time sensing/monitoring/tracking, smart sensing

Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Life Science Research Tools > Microscopy And Imaging, Chemical > Chemical Sensors

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

Intelligent, Adaptive, and Multimodal Data-Driven Epileptogenic Zone Identification and Cognitive Function Mapping Platform (UCLA Case No. 2023-214)

Summary: UCLA researchers in the Departments of Neurology and Electrical and Computer Engineering have developed a data-driven, deep learning-powered software platform to localize epileptogenic tissues in the brain and cognitively map nearby regions. Background: According to the World Health Organization, 50 million people around the world suffer...

Published: 1/24/2024 | Inventor(s): Vwani Roychowdhury, Hiroki Nariai, Richard Staba, Yipeng Zhang

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Artificial Neural Network, Biomonitoring, Brain Mapping, Condition monitoring, Deep Learning, Digital Health, Digital Pathology, Electroencephalography (EEG), Epilepsy, Hospital Systems And Devices, Medical Device, Medical Devices and Materials, Monitoring (Medicine), Monitoring And Recording Systems, MRI, PET, remote monitoring, Software, Software & Algorithms

Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems

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: 8/9/2023 | 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

A Uniform AI Framework for Automated Detection of Disease-Related Risk Factors in 3D Medical Imaging Data

Summary: UCLA researchers from the Departments of Anesthesiology & Perioperative Medicine, Ophthalmology, Computational Medicine, and Computer Science have developed a novel uniform framework to diagnose disease-related risk factors in any volumetric medical imaging data. Background: Automated diagnosis of medical imaging is undoubtedly important...

Published: 7/19/2023 | Inventor(s): Oren Avram, Eran Halperin, Berkin Durmus, Nadav Rakocz, Jeffrey Chiang, Srinivas Sadda

Keywords(s): Advanced Computing / AI, AI algorithms, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Biomarker, Biomedical Engineering, Computer-Aided Design, Deep Learning, Imaging, Magnetic Resonance Imaging, Medical Imaging

Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices > Medical Imaging

2022-287 Class-Specific Diffractive Cameras with All-Optical Erasure of Undesired Objects

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel camera design that is capable of target-specific imaging with instantaneous optical erasure of irrelevant objects. Background: There are over 1 billion surveillance cameras around the world today, and the installation of such video surveillance...

Published: 3/7/2024 | Inventor(s): Aydogan Ozcan, Yi Luo, Bijie Bai

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Artificial Neural Network, Camera, Cameras, Computer Vision, Deep Learning, Surveillance

Category(s): Electrical, Electrical > Imaging, Electrical > Signal Processing, Software & Algorithms > Artificial Intelligence & Machine Learning

2022-230 Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an all-optical diffractive network that can find applications in machine learning-related vision tasks and all-optical computing systems. Background: Optical computing is a gateway to the future, as it can revolutionize computation by making classically...

Published: 8/21/2023 | Inventor(s): Aydogan Ozcan, Jingxi Li

Keywords(s): Advanced Computing / AI, all-optical diffractive computing, all-optical transformation, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial-intelligent materials, classification, Deep Learning, diffractive network, diffractive processor, Electrical, Electrical Engineering, Internet of Things (IoT), Machine Vision, machine vision task, multiplexing, Optical Coherence , Optical Communication , Optical Fiber Copper Wire And Cable, Optical Microscope, Optics, polarization multiplexed diffractive processor, polarization multiplexing, polarization-based machine vision tasks, polarization-encoded diffractive network

Category(s): Electrical, Electrical > Instrumentation, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Optics & Photonics, Electrical > Electronics & Semiconductors

Deep Learning Super-Resolution Magnetic Resonance Imaging via Slice-Profile-Transformation Based Downsampling (UCLA Case No. 2022-062)

Summary: UCLA Researchers in the Department of Radiological Sciences have developed a deep learning-based approach for super-resolution magnetic resonance imaging. This method incorporates a novel slice-profile transformation super-resolution framework for through-plane super-resolution of multi-slice 2D MRI. This approach results in higher accuracy...

Published: 3/14/2024 | Inventor(s): Kyung Hyun Sung, Jiahao Lin

Keywords(s): Deep Learning, down sampling, High-resolution, Image Resolution, isotropic super-resolution, MRI, multiparametric MRI (mpMRI), slice-profile, Super Resolution Microscopy

Category(s): Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI

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