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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: 3/7/2025
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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
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: 2/14/2025
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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
2016-595 DEEP-LEARNING-BASED COMPUTERIZED PROSTATE CANCER CLASSIFICATION USING A HIERARCHICAL CLASSIFICATION FRAMEWORK
Case No. 2016-595SUMMARYUCLA researchers in the Department of Radiological Sciences have developed a deep-learning-based computerized algorithm for classification of prostate cancer using multi-parametric-MRI images.BACKGROUNDProstate cancer is currently the most common form of cancer found in men. Diagnostic imaging is a crucial component of classifying...
Published: 2/14/2025
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Inventor(s):
Kyung Sung
,
William Hsu
,
Shiwen Shen
,
Xinran Zhong
Keywords(s):
Diagnostic Markers & Platforms
,
Life Science Research Tools
,
Medical Imaging
,
Microscopy And Imaging
,
MRI
,
Oncology
,
Software
Category(s):
Life Science Research Tools
,
Life Science Research Tools > Microscopy And Imaging
,
Diagnostic Markers
,
Medical Devices > Medical Imaging
,
Medical Devices > Medical Imaging > MRI
,
Therapeutics > Oncology
,
Software & Algorithms > Programs