Search Results - yang+yang

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Method and Apparatus for Implantable Tumor-Treating Field via Shape-Engineered Ultrasonic Powering Receiver
Advantages Enables battery-free, implantable tumor-treating field delivery directly at the tumor site Eliminates skull attenuation and cerebrospinal fluid shunting that limit conventional scalp-based TTF systems Fourfold higher ultrasonic-to-electric power conversion compared to standard cubic receivers Closed-loop field control maintains stable,...
Published: 3/13/2026   |   Inventor(s): Albert Kim, Sophia Selvarajan, Zeng-jie Yang, Silvia Valdes Rives
Keywords(s): Biotechnology, Cancer, Medical Devices, Medical Implants
Category(s): Technology Classifications > Medical > Medical Devices, Technology Classifications > Medical > Biomedical Engineering, Technology Classifications > Cancer, Technology Classifications > Energy & Environment > Energy Engineering
Effortless Biometric User Authentication for Extended Reality (XR) Headsets Using Vital-Sign Harmonics
​ Technology harnesses harmonics of vital sign vibrations to realize effortless (does not require any explicit user actions) and inbuilt (uses motion sensors available on all XR headsets) XR user authentication Invention Summary: As extended reality (XR) technologies advanced and became more integrated into everyday digital environments, new...
Published: 3/10/2026   |   Inventor(s): Yingying Chen, Yan Wang, Cong Shi, Nitesh Saxena
Keywords(s):  
Category(s): Technology Classifications, Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright
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   |   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
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   |   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
Student Outcomes & Predictions in Higher Education using Artificial Intelligence (SOPHEA-I )
RPI ID: 2021-021-401 Innovation Summary: A predictive analytics system uses student data to forecast retention rates across academic programs. The model incorporates behavioral, demographic, and performance metrics to identify at-risk students. Machine learning algorithms continuously refine predictions based on new inputs. The system supports institutional...
Published: 3/10/2026   |   Inventor(s): Jasmine Yang, Lu Enzhe, Jiarun Li, Yihui Yang, Hui Su, Yifan Liu, Keith Moo-Young
Keywords(s): AI, machine-learning, Student Persistent and success
Category(s): Media, Arts, Science and Technology
Student Outcomes & Predictions in Higher Education using Artificial Intelligence (SOPHEA-I )
RPI ID: 2021-021-401 Innovation Summary: A predictive analytics system uses student data to forecast retention rates across academic programs. The model incorporates behavioral, demographic, and performance metrics to identify at-risk students. Machine learning algorithms continuously refine predictions based on new inputs. The system supports institutional...
Published: 3/10/2026   |   Inventor(s): Jasmine Yang, Lu Enzhe, Jiarun Li, Yihui Yang, Hui Su, Yifan Liu, Keith Moo-Young
Keywords(s): AI, machine-learning, Student Persistent and success
Category(s): Media, Arts, Science and Technology
End-to-end machine learning based multi-modal multi-dimensional image registration
RPI ID: 2021-050-201 Innovation Summary: This system performs multi-modal, multi-dimensional image registration using a hybrid approach that combines spatial mapping and intensity-based alignment. It supports registration across imaging modalities such as MRI, CT, and PET. The method improves accuracy in anatomical and functional image fusion. It is...
Published: 3/10/2026   |   Inventor(s): Hengtao Guo, Xuanang Xu, Xinrui Song, Pingkun Yan
Keywords(s): Artificial Intelligence, deep neural networks, image fusion, medical image registration, medical image-guided intervention
Category(s): Biotechnology and the Life Sciences
System and methods for machine learning based trackingless volume reconstruction
RPI ID: 2020-060-201 Innovation Summary: A machine learning system reconstructs imaging volumes without requiring external tracking devices. The method uses internal image features and learned spatial relationships to align and assemble slices into coherent 3D volumes. It is particularly useful in ultrasound and other modalities where tracking hardware...
Published: 3/10/2026   |   Inventor(s): Hengtao Guo, Pingkun Yan
Keywords(s): deep learning, image reconstruction, medical imaging
Category(s): Biotechnology and the Life Sciences
Trackerless 2D Ultrasound frames to 3D image volume registration
RPI ID: 2020-025-401 Innovation Summary: A system and method are introduced for registering 2D ultrasound frames into a 3D image volume without the need for external tracking hardware. The approach uses internal image features and spatial inference to align slices, enabling coherent volume reconstruction. It is particularly suited for portable and...
Published: 3/10/2026   |   Inventor(s): Pingkun Yan
Keywords(s): image analysis, image-guided intervention, medical imaging
Category(s): Biotechnology and the Life Sciences
Patient-Specific Organ Dose Quantification and Optimization for CT
RPI ID: 2020-032-401 Innovation Summary: A computational method enables quantification of organ-specific radiation dose during CT imaging and uses inverse optimization to adjust scan parameters accordingly. The system incorporates patient-specific anatomical models and dose-response data to guide personalized imaging protocols. It supports real-time...
Published: 3/10/2026   |   Inventor(s): Pingkun Yan, Birsen Yazici, Xie Xu
Keywords(s): AI workflow, Artificial Intelligence Radiology, Clinical Imaging, computed tomography (CT), CT dosimetry, CT Scanner, deep learning, Dosimetry, Imaging, medical imaging, Nuclear Medicine, Personalized Medicine, Radiology, X-Rays
Category(s): Biotechnology and the Life Sciences
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