loadpatents
name:-0.028320074081421
name:-0.023679971694946
name:-0.0043418407440186
Shan; Hongming Patent Filings

Shan; Hongming

Patent Applications and Registrations

Patent applications and USPTO patent grants for Shan; Hongming.The latest application filed is for "dynamic imaging and motion artifact reduction through deep learning".

Company Profile
2.3.12
  • Shan; Hongming - Troy NY US
  • SHAN; Hongming - Zhongshan CN
  • Shan; Hongming - US
*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.
Patent Activity
PatentDate
Dynamic Imaging And Motion Artifact Reduction Through Deep Learning
App 20220292641 - Wang; Ge ;   et al.
2022-09-15
Ct Super-resolution Gan Constrained By The Identical, Residual And Cycle Learning Ensemble (gan-circle)
App 20220230278 - Wang; Ge ;   et al.
2022-07-21
CT super-resolution GAN constrained by the identical, residual and cycle learning ensemble (GAN-circle)
Grant 11,232,541 - Wang , et al. January 25, 2
2022-01-25
Training A Cnn With Pseudo Ground Truth For Ct Artifact Reduction
App 20210374961 - Wang; Ge ;   et al.
2021-12-02
Training a CNN with pseudo ground truth for CT artifact reduction
Grant 11,120,551 - Wang , et al. September 14, 2
2021-09-14
Foxing Tape And Methods Of Using Foxing Tape
App 20210219658 - WU; Xiangming ;   et al.
2021-07-22
Systems and methods for integrating tomographic image reconstruction and radiomics using neural networks
Grant 11,049,244 - Wang , et al. June 29, 2
2021-06-29
Modularized Adaptive Processing Neural Network (map-nn) For Low-dose Ct
App 20210097662 - Wang; Ge ;   et al.
2021-04-01
Deep Neural Network For Ct Metal Artifact Reduction
App 20210000438 - Wang; Ge ;   et al.
2021-01-07
Systems And Methods For Integrating Tomographic Image Reconstruction And Radiomics Using Neural Networks
App 20200380673 - Wang; Ge ;   et al.
2020-12-03
3-d Convolutional Autoencoder For Low-dose Ct Via Transfer Learning From A 2-d Trained Network
App 20200349449 - Wang; Ge ;   et al.
2020-11-05
Ct Super-resolution Gan Constrained By The Identical, Residual And Cycle Learning Ensemble (gan-circle)
App 20200111194 - Wang; Ge ;   et al.
2020-04-09
Training A Cnn With Pseudo Ground Truth For Ct Artifact Reduction
App 20190164288 - Wang; Ge ;   et al.
2019-05-30

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.

© 2024 USPTO.report | Privacy Policy | Resources | RSS Feed of Trademarks | Trademark Filings Twitter Feed