Search Results - medical+imaging

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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 | 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

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 | 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

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

Antibody-Drug Conjugates Targeting Stem Cell-Derived Cancer Cells and Tumor Stroma (UCLA Case No. 2020-790)

UCLA researchers in the Department of Molecular and Medical Pharmacology have developed a versatile antibody-drug conjugate platform utilizing a novel monoclonal antibody that is highly specific at targeting cancer cells and rapidly internalized by those cells for an effective anti-tumor response. BACKGROUND: For decades, an absolute majority of...

Published: 2/13/2024 | Inventor(s): Robert Damoiseaux, Hans Ulmert, Hans David Ulmert, Norbert Peekhaus, Liqun Mao, Claire Storey

Keywords(s): Antibody, diagnostic radionuclides, Imaging, Life Science Research Tools, Medical Imaging, Mesenchymal Stem Cell Derived Cancer Cells, Oncology, PET, therapeutic radionuclides, Tumor microenvironment, Tumor Stroma

Category(s): Medical Devices > Medical Imaging > PET

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

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

2017-730 Reducing Computational Complexity of Training Algorithms for Artificial Neural Networks

Summary: Researchers at UCLA have developed a novel mathematical theorem to revolutionize the training of large-scale artificial neural networks (ANN). Background: Artificial neural networks (ANNs) have gained popularity in recent years due to their exceptional performance and applicability to a wide array of machine learning applications. ANNs digitally...

Published: 7/19/2023 | Inventor(s): Khalid Youssef, Louis-Serge Bouchard

Keywords(s): Advanced Computing / AI, Life Science Research Tools, Medical Imaging, Software, Software & Algorithms

Category(s): Life Science Research Tools, Software & Algorithms, Medical Devices > Medical Imaging, Electrical > Quantum Computing, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Programs

2022-088 Neural Networks for Adipose Tissue Segmentation on Magnetic Resonance Images

Summary: UCLA researchers in the Department of Radiological Sciences have developed a novel neural network that can segment and quantify visceral and subcutaneous adipose tissues on magnetic resonance images automatically, accurately, and rapidly, to enhance clinical methods for characterizing and monitoring risk for cardiometabolic diseases in patients...

Published: 1/17/2024 | Inventor(s): Holden Wu, Sevgi Gokce Kafali-Tekat

Keywords(s): Advanced Computing / AI, Artificial Neural Network, Artificial Neural Network Artificial Neuron, cardiometabolic disease, Hypertension, Imaging, Machine Learning, Magnetic Resonance Imaging, Magnetic Resonance Imaging Pathology, Medical Imaging, MRI, multi-contrast imaging, obesity, Tissue (Biology), tissue annotation, tissue detection, tissue ribbons alignment, tissue segmentation

Category(s): Medical Devices > Medical Imaging, Platforms > Diagnostic Platform Technologies, Medical Devices > Medical Imaging > MRI, Therapeutics > Metabolism And Endocrinology

2014-9AG Wide-Field Computational Imaging of Pathology Slides Using Lensfree On-Chip Microscopy

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a wide field-of-view (FOV) computational imaging method using lens-free on-chip microscopy to efficiently and cost-effectively scan biological samples such as pathology slides. Background: Wide field-of-view (FOV) and high-resolution imaging is crucial...

Published: 7/19/2023 | Inventor(s): Aydogan Ozcan, Alon Greenbaum, Yibo Zhang, Alborz Feizi, Wei Luo

Category(s): Life Science Research Tools, Electrical, Electrical > Imaging, Life Science Research Tools > Microscopy And Imaging, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Diagnostic Markers, Diagnostic Markers > Targets And Assays, Medical Devices > Medical Imaging

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