Ye; JongChul

Patent Applications and Registrations

Patent applications and USPTO patent grants for Ye; JongChul.The latest application filed is for "severity quantification and lesion localization method of infectious disease on cxr using vision transformer and apparatus therefor".

Company Profile

12.6.14

Ye; JongChul - Daejeon KR
Ye; JongChul - Yuseong-gu KR

*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
Severity Quantification And Lesion Localization Method Of Infectious Disease On Cxr Using Vision Transformer And Apparatus Therefor App 20220309661 - Ye; JongChul ; et al.	2022-09-29
Method Of Classifying Lesion Of Chest X-ray Radiograph Based On Data Normalization And Local Patch And Apparatus Thereof App 20220036564 - Ye; JongChul ; et al.	2022-02-03
Unsupervised Learning Method For General Inverse Problem And Apparatus Therefor App 20220027741 - Ye; JongChul ; et al.	2022-01-27
Image Segmentation Method Using Neural Network Based On Mumford-shah Function And Apparatus Therefor App 20220020155 - Ye; JongChul ; et al.	2022-01-20
Unsupervised Deformable Image Registration Method Using Cycle-consistent Neural Network And Apparatus Therefor App 20220005150 - Ye; JongChul ; et al.	2022-01-06
Image processing apparatus using neural network and method performed by image processing apparatus Grant 11,145,028 - Ye , et al. October 12, 2	2021-10-12
Method for removing ghost artifact of echo planar imaging by using neural network and apparatus therefor Grant 11,085,986 - Ye , et al. August 10, 2	2021-08-10
Method for processing unmatched low-dose X-ray computed tomography image using neural network and apparatus therefor Grant 11,037,336 - Ye , et al. June 15, 2	2021-06-15
Method for processing sparse-view computed tomography image using neural network and apparatus therefor Grant 10,991,132 - Ye , et al. April 27, 2	2021-04-27
Method for processing multi-directional X-ray computed tomography image using artificial neural network and apparatus therefor Grant 10,977,842 - Ye , et al. April 13, 2	2021-04-13
Apparatus And Method For Processing Ultrasound Image In Various Sensor Conditions App 20210030400 - YE; JongChul ; et al.	2021-02-04
Apparatus and method for reconstructing image using extended neural network Grant 10,853,977 - Ye , et al. December 1, 2	2020-12-01
Method Of Replacing Missing Image Data By Using Neural Network And Apparatus Thereof App 20200311874 - YE; JongChul ; et al.	2020-10-01
Method For Processing Unmatched Low-dose X-ray Computed Tomography Image Using Neural Network And Apparatus Therefor App 20200118306 - Ye; JongChul ; et al.	2020-04-16
Method For Removing Ghost Artifact Of Echo Planar Imaging By Using Neural Network And Apparatus Therefor App 20200072933 - Ye; JongChul ; et al.	2020-03-05
Method For Processing Multi-directional X-ray Computed Tomography Image Using Artificial Neural Network And Apparatus Therefor App 20200027252 - Ye; JongChul ; et al.	2020-01-23
Method For Processing Interior Computed Tomography Image Using Artificial Neural Network And Apparatus Therefor App 20190369190 - Ye; JongChul ; et al.	2019-12-05
Method For Processing Sparse-view Computed Tomography Image Using Neural Network And Apparatus Therefor App 20190371018 - Ye; JongChul ; et al.	2019-12-05
Image Processing Apparatus Using Neural Network And Method Performed By Image Processing Apparatus App 20190355093 - Ye; JongChul ; et al.	2019-11-21
Apparatus And Method For Reconstructing Image Using Extended Neural Network App 20190066346 - YE; JongChul ; et al.	2019-02-28

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.