Search Results - deep+learning

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Deep Learning-Enhanced Dual-Mode Multiplexed Optical Sensor for Point-Of-Care Diagnostics of Cardiovascular Diseases (Case No. 2026-178)
Summary: UCLA researchers in the Departments of Electrical and Computer Engineering and Bioengineering have developed a deep-learning-enhanced multiplexed optical biosensing platform that enables rapid, high sensitivity point-of-care quantification of multiple cardiac biomarkers for cardiovascular diagnostics. Background: Rapid and accessible cardiac...
Published: 3/24/2026   |   Updated: 3/24/2026   |   Inventor(s): Aydogan Ozcan, Dino Di Carlo, Gyeo-Re Han, Artem Goncharov, Merve Eryilmaz
Keywords(s): Biomarker, biomarkers, Cardiovascular, Cardiovascular Disease, cardiovascular diseases, cardiovascular monitoring, cardiovascular therapeutic solution, Deep Learning, Deep learning-based sensing, deep neural networks (DNN), neural network, neural networks, Optics, Point Of Care, point-of-care, point-of-care testing
Category(s): Electrical, Optics & Photonics, Diagnostic Markers, Medical Devices > Cardiac, Medical Devices
HOME: High-Order Mixed-Moment-based Embedding for Representation Learning
RPI ID: 2023-002-301, 2023-002-401 Innovation Summary: This technology introduces a novel embedding framework for representation learning that leverages high-order mixed statistical moments to capture complex data relationships. The system enhances feature extraction by encoding richer structural and distributional information from input data. It...
Published: 3/10/2026   |   Updated: 3/10/2026   |   Inventor(s): Chuang Niu, Ge Wang
Keywords(s): Artificial Intelligence, deep learning, self-supervised reapresentation learning
Category(s): Computational Science and Engineering
Task-Oriented Deep Learning Image Denoising
RPI ID: 2022-015-201 Innovation Summary: A deep learning-based image denoising method tailored to specific tasks such as segmentation or classification. Unlike generic denoising, it preserves features critical to downstream analysis. The model adapts its strategy based on the intended application, improving performance in real-world scenarios. It is...
Published: 3/10/2026   |   Updated: 3/10/2026   |   Inventor(s): Jiajin Zhang, Hanqing Chao, Ge Wang, Pingkun Yan
Keywords(s): Artificial Intelligence, deep learning, Image Denoising, image quality, medical imaging
Category(s): Computational Science and Engineering
Decorrelation Mechanism and Dual Neck Autoencoders for Deep Learning
RPI ID: 2022-018-201 Innovation Summary: A dual-neck autoencoder architecture is introduced to improve feature separation and reduce redundancy in deep learning models. The decorrelation mechanism embedded in the encoder layers enhances generalization by minimizing overlap in learned representations. This design allows for more effective training in...
Published: 3/10/2026   |   Updated: 3/10/2026   |   Inventor(s): Christopher Wiedeman, Ge Wang
Keywords(s): Adversarial Attacks, Attack Transferability, computer vision, Decorrelation, deep learning
Category(s): Computational Science and Engineering
Stationary Multi-source AI-powered Real-time Tomography (SMART) for Dynamic Cardiac Imaging
RPI ID: 2022-011-201 Innovation Summary: The SMART system uses 29 fixed source-detector pairs arranged on a circular track to perform real-time tomography without mechanical rotation. AI algorithms reconstruct high-resolution 3D images from simultaneous multi-angle data. This architecture improves temporal resolution and reduces wear compared to rotating...
Published: 3/10/2026   |   Updated: 3/10/2026   |   Inventor(s): Weiwen Wu, Yan Xi, Ge Wang
Keywords(s): cardiac Imaging, computed tomography (CT), deep learning, image reconstruction, Multi-Source, preclinical imaging, real-time
Category(s): Computational Science and Engineering
Self-Supervised Representation Learning Through Multi-Segmental Discriminative Coding
RPI ID: 2022-058-301, 2022-058-401 Innovation Summary: This invention introduces a self-supervised representation learning (SSRL) system that utilizes multi-segmental informational coding to enhance data representation. The SSRL circuitry includes transformer-based components designed to process input data without requiring labeled examples. By leveraging...
Published: 3/10/2026   |   Updated: 3/10/2026   |   Inventor(s): Ge Wang, Chuang Niu
Keywords(s): Artificial Intelligence, deep learning, self-supervised reapresentation learning
Category(s): Computational Science and Engineering
AI Enables Ultra-Low-Dose CT Reconstruction
RPI ID: 2021-072-401 Innovation Summary: AI-enabled ultra-low-dose CT reconstruction systems use deep learning to restore image quality from low-radiation scans. The models are trained on paired datasets to enhance resolution and contrast while minimizing noise. This approach allows for safer imaging without compromising diagnostic accuracy. It is...
Published: 3/10/2026   |   Updated: 3/10/2026   |   Inventor(s): Mannudeep Kalra, Chuang Niu, Hengyong Yu, Shadi Ebrahimian, Weiwen Wu, Ge Wang
Keywords(s): deep learning, Deep Tomographic Reconstruction, Few-view, Ultra-low-dose
Category(s): Computational Science and Engineering
Noise2Sim – Similarity-based Self-Learning for Image Denoising
RPI ID: 2021-034-401 Innovation Summary: Noise2Sim is a self-supervised image denoising method that leverages similarity-based learning without requiring clean reference images. The algorithm identifies consistent patterns across noisy inputs and uses them to reconstruct cleaner outputs. It is particularly effective in medical and scientific imaging...
Published: 3/10/2026   |   Updated: 3/10/2026   |   Inventor(s): Chuang Niu, Ge Wang
Keywords(s): deep learning, Image Denoising, self-learning, self-similarity
Category(s): Computational Science and Engineering
A robotic-arm Based Clinical Micro-CT Design for Inner Ear Imaging
RPI ID: 2021-022-201 Innovation Summary: A robotic arm-mounted micro-CT system enables flexible, high-resolution imaging in clinical environments. The system uses a compact X-ray source and detector mounted on a robotic manipulator to scan anatomical regions with precision. It supports dynamic positioning and patient-specific imaging protocols. The...
Published: 3/10/2026   |   Updated: 3/10/2026   |   Inventor(s): Mengzhou Li, Zheng Fang, Wenxiang Cong, Ge Wang
Keywords(s): Clinical Micro-CT, deep learning, Inner Ear Imaging, Interior Tomography, photon-counting detector, Robotic Arms
Category(s): Media, Arts, Science and Technology
Stabilizing Deep Tomographic Reconstruction Networks
RPI ID: 2021-007-201 Innovation Summary: A hybrid image reconstruction system combines model-based and data-driven techniques to improve image quality across modalities. The architecture integrates physics-informed priors with deep learning algorithms to reduce noise and artifacts. It supports real-time processing and is adaptable to CT, MRI, and PET...
Published: 3/10/2026   |   Updated: 3/10/2026   |   Inventor(s): Weiwen Wu, Wenxiang Cong, Hengyong Yu, Ge Wang
Keywords(s): analytic reconstruction, compressed sensing, deep learning, iterative reconstruction, tomographic imaging
Category(s): Computational Science and Engineering
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