Search Results - jun+lyu

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Highly Accelerated Multi-Dimensional MRI Using Physics-Guided Self-Supervised Deep Learning Reconstruction (Case No. 2026-164)
Summary: UCLA researchers in the Department of Radiological Sciences have developed a novel physics-guided, self-supervised deep learning framework for multi-dimensional magnetic resonance imaging that delivers superior image quality and preserves spatiotemporal fidelity at high acceleration rates. Background: Magnetic resonance imaging (MRI) is...
Published: 6/5/2026   |   Updated: 6/5/2026   |   Inventor(s): Xiaodong Zhong, Jun Lyu, John Finn
Keywords(s):  
Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Software & Algorithms > Digital Health, Software & Algorithms > Data Analytics, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI
Fecal Bacterial Markers for Non-Invasive Diagnosis of Colorectal Cancer
[Licensing negotiation in progress][Invitation for Expression of Interest - Deadline: 19 July 2018]We are inviting expressions of interest (EoI) for commercializing “Fecal Bacterial Markers for Non-invasive Diagnosis of Colorectal Cancer” technology. The innovation is developed by Professor YU Jun, Professor of Department of Medicine &...
Published: 3/10/2026   |   Updated: 6/8/2020   |   Inventor(s): Jun Yu, Jao Yiu Joseph Sung, Qiaoyi Liang
Keywords(s):  
Category(s): Diagnostics
Micro-RNA Makers for Colon Cancer
Invention Referene: 10/MED/349 This technology relates to methods of detecting the presence of specific RNA sequences in a biological sample for diagnosing or providing a prognosis for colon cancer (CRC). 　 　 AdvantagesEarly detection and removal of adenoma has been shown to reduce the incidence and mortality of CRC. Colonoscopy...
Published: 12/14/2020   |   Updated: 9/19/2014   |   Inventor(s): Jun Yu, Jao Yiu Joseph Sung, Chung Wah Wu
Keywords(s):  
Category(s): Diagnostics