Bi; Jinbo

Patent Applications and Registrations

Patent applications and USPTO patent grants for Bi; Jinbo.The latest application filed is for "multi-level contextual learning of data".

Company Profile

0.12.16

Bi; Jinbo - Chester Springs PA
Bi; Jinbo - Exton PA

*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
Multi-level contextual learning of data Grant 8,724,866 - Wu , et al. May 13, 2	2014-05-13
Computer aided detection of pulmonary embolism with local characteristic features in CT angiography Grant 8,244,012 - Liang , et al. August 14, 2	2012-08-14
Reduction of lymph tissue false positives in pulmonary embolism detection Grant 8,126,229 - Ghanem , et al. February 28, 2	2012-02-28
Sparse collaborative computer aided diagnosis Grant 8,064,662 - Bi November 22, 2	2011-11-22
System and method for computer aided detection of pulmonary embolism in tobogganing in CT angiography Grant 8,036,440 - Liang , et al. October 11, 2	2011-10-11
System and method for joint optimization of cascaded classifiers for computer aided detection Grant 7,962,428 - Bi , et al. June 14, 2	2011-06-14
Multi-Level Contextual Learning of Data App 20110075920 - Wu; Dijia ; et al.	2011-03-31
Systems and Methods for Multilevel Nodule Attachment Classification in 3D CT Lung Images App 20110064289 - Bi; Jinbo ; et al.	2011-03-17
Method of multiple instance learning and classification with correlations in object detection Grant 7,822,252 - Bi , et al. October 26, 2	2010-10-26
System and method for computer aided detection via asymmetric cascade of sparse linear classifiers Grant 7,756,313 - Bi , et al. July 13, 2	2010-07-13
Hierarchical modeling in medical abnormality detection Grant 7,653,227 - Krishnan , et al. January 26, 2	2010-01-26
Computer Aided Detection of Pulmonary Embolism with Local Characteristic Features in CT Angiography App 20090252394 - Liang; Jianming ; et al.	2009-10-08
Reduction of Lymph Tissue False Positives in Pulmonary Embolism Detection App 20090034816 - Ghanem; Bernard S. ; et al.	2009-02-05
Support vector classification with bounded uncertainties in input data Grant 7,480,639 - Bi January 20, 2	2009-01-20
System and Method for Large Scale Code Classification for Medical Patient Records App 20080288292 - Bi; Jinbo ; et al.	2008-11-20
System and Method for Computer Aided Detection of Pulmonary Embolism in Tobogganing in CT Angiography App 20080187201 - Liang; Jianming ; et al.	2008-08-07
System and Method for Joint Optimization of Cascaded Classifiers for Computer Aided Detection App 20080147577 - Bi; Jinbo ; et al.	2008-06-19
System and method for a sparse kernel expansion for a Bayes classifier Grant 7,386,165 - Dundar , et al. June 10, 2	2008-06-10
Method of Multiple Instance Learning and Classification With Correlations in Object Detection App 20080125648 - Bi; Jinbo ; et al.	2008-05-29
Sparse Collaborative Computer Aided Diagnosis App 20080012855 - Bi; Jinbo	2008-01-17
System and method for computer aided detection via asymmetric cascade of sparse linear classifiers App 20070110292 - Bi; Jinbo ; et al.	2007-05-17
System and method for learning rankings via convex hull separation App 20070011121 - Bi; Jinbo ; et al.	2007-01-11
Hierarchical medical image view determination App 20060064017 - Krishnan; Sriram ; et al.	2006-03-23
Support vector classification with bounded uncertainties in input data App 20050273447 - Bi, Jinbo	2005-12-08
Hierarchical modeling in medical abnormality detection App 20050209519 - Krishnan, Sriram ; et al.	2005-09-22
System and method for a sparse kernel expansion for a bayes classifier App 20050197980 - Dundar, Murat ; et al.	2005-09-08
System and method for an iterative technique to determine fisher discriminant using heterogenous kernels App 20050177040 - Fung, Glenn ; et al.	2005-08-11

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.