Lebel; Robert Marc

Patent Applications and Registrations

Patent applications and USPTO patent grants for Lebel; Robert Marc.The latest application filed is for "system and method for reconstruction using a high-resolution phase in magnetic resonance images".

Company Profile

6.9.13

Lebel; Robert Marc - Calgary AB CA
Lebel; Robert Marc - Calgary CA

*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.

Patent Activity

Patent	Date
Method for improved dynamic contrast enhanced imaging using tracer-kinetic models as constraints Grant 11,412,948 - Nayak , et al. August 16, 2	2022-08-16
System And Method For Reconstruction Using A High-resolution Phase In Magnetic Resonance Images App 20220248972 - Wang; Xinzeng ; et al.	2022-08-11
Methods And System For Selective Removal Of Streak Artifacts And Noise From Images Using Deep Neural Networks App 20220237748 - Wang; Xinzeng ; et al.	2022-07-28
Deep Learning Systems And Methods Of Removal Of Truncation Artifacts In Magnetic Resonance Images App 20220198725 - Litwiller; Daniel Vance ; et al.	2022-06-23
Systems and methods of generating robust phase images in magnetic resonance images Grant 11,346,912 - Guidon , et al. May 31, 2	2022-05-31
Methods and system for selective removal of streak artifacts and noise from images using deep neural networks Grant 11,341,616 - Wang , et al. May 24, 2	2022-05-24
Systems And Methods For Medical Image Processing Using Deep Neural Network App 20220130084 - Litwiller; Daniel Vance ; et al.	2022-04-28
Systems and methods for deblurring medical images using deep neural network Grant 11,257,191 - Litwiller , et al. February 22, 2	2022-02-22
Systems And Methods Of Generating Robust Phase Images In Magnetic Resonance Images App 20220026516 - Guidon; Arnaud ; et al.	2022-01-27
Methods And System For Selective Removal Of Streak Artifacts And Noise From Images Using Deep Neural Networks App 20210295474 - Wang; Xinzeng ; et al.	2021-09-23
Systems And Methods For Reducing Colored Noise In Medical Images Using Deep Neural Network App 20210272240 - Litwiller; Daniel ; et al.	2021-09-02
Systems And Methods For Deblurring Medical Images Using Deep Neural Network App 20210049743 - Litwiller; Daniel Vance ; et al.	2021-02-18
Systems and methods for denoising medical images with deep learning network Grant 10,915,990 - Lebel February 9, 2	2021-02-09
Systems and methods for hybrid slice encoding in three-dimensional magnetic resonance imaging Grant 10,746,830 - Wu , et al. A	2020-08-18
Systems and methods for noise reduction in medical images with deep neural networks Grant 10,635,943 - Lebel , et al.	2020-04-28
Systems And Methods For Denoising Medical Images With Deep Learning Network App 20200126190 - Lebel; Robert Marc	2020-04-23
Systems And Methods For Hybrid Slice Encoding In Three-dimensional Imaging App 20200072929 - Wu; Gaohong ; et al.	2020-03-05
Dynamic 3D MRI data sampling Grant 10,203,392 - Zhu , et al. Feb	2019-02-12
Magnetic resonance imaging data correction methods and systems Grant 9,897,678 - Tan , et al. February 20, 2	2018-02-20
Method For Improved Dynamic Contrast Enhanced Imaging Using Tracer-kinetic Models As Constraints App 20170325709 - NAYAK; KRISHNA SHRINIVAS ; et al.	2017-11-16
Dynamic 3d Mri Data Sampling App 20160274201 - Zhu; Yinghua ; et al.	2016-09-22
Magnetic Resonance Imaging Data Correction Methods And Systems App 20140312897 - Tan; Ek Tsoon ; et al.	2014-10-23

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.