Lu; Kongkuo

Patent Applications and Registrations

Patent applications and USPTO patent grants for Lu; Kongkuo.The latest application filed is for "self-aware image segmentation methods and systems".

Company Profile

8.14.17

Lu; Kongkuo - Briarcliff Manor NY
Lu; Kongkuo - Sugar Land TX US
Lu; Kongkuo - Eindhoven NL
Lu; Kongkuo - State College PA 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

Patent	Date
Optimized anatomical structure of interest labelling Grant 11,183,293 - Lu , et al. November 23, 2	2021-11-23
Automatic depth scrolling and orientation adjustment for semi-automated path planning Grant 10,758,212 - Wiemker , et al. Sep	2020-09-01
Automatic radiology reading session detection Grant 10,678,328 - Lu , et al.	2020-06-09
Self-aware Image Segmentation Methods And Systems App 20200151882 - YAN; PINGKUN ; et al.	2020-05-14
Self-aware image segmentation methods and systems Grant 10,565,711 - Yan , et al. Feb	2020-02-18
User-steered on-the-fly path planning Grant 10,531,815 - Lu , et al. Ja	2020-01-14
Gaze tracking system with calibration improvement, accuracy compensation, and gaze localization smoothing Grant 10,496,160 - Lu , et al. De	2019-12-03
Medical image reporting system and method Grant 10,482,606 - Higgins , et al. Nov	2019-11-19
Device, system and method for quality assessment of medical images Grant 10,402,967 - Saalbach , et al. Sep	2019-09-03
Method for improved surface tracking-based motion management and dynamic planning in adaptive external beam radiation therapy Grant 10,376,714 - Bharat , et al. A	2019-08-13
Method and system for calculating a displacement of an object of interest Grant 10,346,989 - Xu , et al. July 9, 2	2019-07-09
Gaze-tracking driven region of interest segmentation Grant 10,133,348 - Lu , et al. November 20, 2	2018-11-20
Self-aware Image Segmentation Methods And Systems App 20180130213 - YAN; PINGKUN ; et al.	2018-05-10
Automatic Radiology Reading Session Detection App 20180039326 - Lu; Kongkuo ; et al.	2018-02-08
Optimized Anatomical Structure Of Interest Labelling App 20170372007 - LU; KONGKUO ; et al.	2017-12-28
Gaze Tracking System With Calibration Improvement, Accuracy Compensation, And Gaze Localization Smoothing App 20170364149 - LU; KONGKUO ; et al.	2017-12-21
Medical Image Reporting System And Method App 20170345155 - Higgins; William E. ; et al.	2017-11-30
Method And System For Calculating A Displacement Of An Object Of Interest App 20170345158 - XU; JINGPING ; et al.	2017-11-30
Gaze-tracking Driven Region Of Interest Segmentation App 20170242481 - LU; KONGKUO ; et al.	2017-08-24
Device, System And Method For Quality Assessment Of Medical Images App 20170178320 - SAALBACH; AXEL ; et al.	2017-06-22
Medical image reporting system and method Grant 9,672,631 - Higgins , et al. June 6, 2	2017-06-06
Method For Improved Surface Tracking-based Motion Management And Dynamic Planning In Adaptive External Beam Radiation Therapy App 20160016007 - BHARAT; Shyam ; et al.	2016-01-21
Nested Cannula Device For Lung Collapse App 20150150593 - Trovato; Karen Irene ; et al.	2015-06-04
Automatic Depth Scrolling And Orientation Adjustment For Semi-automated Path Planning App 20140344742 - Wiemker; Rafael ; et al.	2014-11-20
User-steered On-the-fly Path Planning App 20140081129 - Lu; Kongkuo ; et al.	2014-03-20
Intraoperative Camera Calibration For Endoscopic Surgery App 20130281821 - Liu; Xin ; et al.	2013-10-24
Medical Image Reporting System And Method App 20100310146 - Higgins; Williams E. ; et al.	2010-12-09

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.