Search Results - corey+arnold

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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

Multi-Resolution Model With Attention for Whole Slide Image Analysis Trained Using Weak Labels (UCLA Case No. 2019-943)

Summary: UCLA Researchers in the Department of Radiology have developed a computer-aided diagnostic model that uses histology slides to interpret and detect prostate cancer diagnoses with high levels of accuracy. Background: In the United States, prostate cancer ranks as the most prevalent and second deadliest cancer among men. Diagnosing this...

Published: 7/10/2024 | Inventor(s): Corey Arnold, Jiayun Li, William Speier

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Artificial Neural Network, Digital Health, Digital Holography, Digital immunohistology, Digital Pathology, Machine Learning, Magnetic Resonance Imaging Pathology, MRI

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

A Deep Learning, Computer Vision-Based Tissue Countdown to Cancer (Case No. 2019-490)

Summary: UCLA researchers in the Department of Radiological Sciences have developed a novel computational pipeline to predict the likelihood of cancer based on subtle changes observed on chronological medical images using deep learning algorithms. Background: Advances in biotechnology have generated large quantities of detailed information on patients’...

Published: 9/27/2024 | Inventor(s): William Hsu, Corey Arnold, Dieter Enzmann

Keywords(s): All Types, Artifical Intelligence (Machine Learning, Data Mining), Bioinformatics, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Image Processing, Life Science Research Tools, Medical Imaging, Oncology, Software

Category(s): Software & Algorithms > Bioinformatics, Software & Algorithms > Artificial Intelligence & Machine Learning, Platforms > Diagnostic Platform Technologies

2017-103 Probability Map of Biopsy Site

Probability Map of Biopsy SiteSUMMARYUCLA researchers in the Department of Radiological Science have developed a technique for generating a probability map on an MRI that indicates the certainty of tissue sampling from a location, which could improve imaging-guided biopsies and their correlation with pathology.BACKGROUNDBiopsies using imaging techniques...

Published: 7/19/2023 | Inventor(s): Corey Arnold, Matthew Brown, Dieter Enzmann, Hyun (Grace) Kim, Mahesh Nagarajan

Keywords(s): Medical Imaging, MRI

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

A Method of Computational Image Analysis for Predicting Tissue Infarction After Acute Ischemic Stroke (Case No. 2015-955)

Summary: UCLA researchers in the Departments of Radiological Sciences and Neurology have designed an algorithm to predict tissue infarctions using pre-therapy magnetic resonance (MR) perfusion-weighted images (pre-PWIs) acquired from patients with acute ischemic stroke. The predictions generated by the algorithm provide information that may assist...

Published: 8/7/2024 | Inventor(s): Corey Arnold, Fabien Scalzo, King Chung Ho

Keywords(s): Cns, Diagnostic Markers & Platforms, Medical Devices and Materials, Medical Imaging, Monitoring And Recording Systems, MRI

Category(s): Diagnostic Markers, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Therapeutics > CNS and Neurology, Medical Devices > Medical Imaging > MRI

A Method for Estimating Perfusion Parameters in Magnetic Resonance Perfusion-weighted Images

SummaryUCLA researchers in the Department of Radiological Sciences and the Department of Neurology have developed a novel algorithm for processing perfusion-weighted magnetic resonance images to estimate perfusion parameters.BackgroundPerfusion-weighted magnetic resonance images (PWIs) allow extraction of parameters including blood flow, blood volume,...

Published: 7/19/2023 | Inventor(s): Corey Arnold, Fabien Scalzo, King Chung Ho

Keywords(s): Medical Imaging, MRI

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