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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
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Updated: 3/10/2026
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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
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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
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Updated: 3/10/2026
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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
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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
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Updated: 3/10/2026
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Inventor(s): Hengtao Guo, Pingkun Yan
Keywords(s): deep learning, image reconstruction, medical imaging
Category(s): Biotechnology and the Life Sciences
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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
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Updated: 3/10/2026
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Inventor(s): Pingkun Yan
Keywords(s): image analysis, image-guided intervention, medical imaging
Category(s): Biotechnology and the Life Sciences
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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
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Updated: 3/10/2026
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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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A METHOD OF DIRECT MULTI-MODAL 2D TO 3D IMAGE REGISTRATION
RPI ID:
2023-082-301
Innovation Summary:
This technology introduces systems and methods for registering multi-modal and multi-dimensional images, enabling alignment of data from different imaging modalities and spatial dimensions. The system uses advanced algorithms to match features across modalities such as MRI, CT, PET, and others, improving the...
Published: 3/10/2026
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Updated: 3/10/2026
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Inventor(s): Pingkun Yan, Xinrui Song
Keywords(s): AI/ML, image-guided intervention, medical imaging
Category(s): Computational Science and Engineering
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Fluorescence Lifetime Imaging Analysis
RPI ID: 2019-035-201Innovation Summary:This invention presents a fluorescence lifetime imaging system for remotely monitoring plant growth and health. It uses an excitation LED module and a detection module to measure fluorescence decay times, which correlate with plant physiological states. The system is designed for non-invasive, real-time monitoring...
Published: 7/21/2025
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Updated: 7/3/2025
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Inventor(s): Jason Smith, Ruoyang Yao, Xavier Intes, Pingkun Yan
Keywords(s): drug development, fluorescence lifetime imaging, real-time, sensitive metabolic study, therapeutic monitoring, tumor margin detection
Category(s): Biotechnology and the Life Sciences
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