Bozorgtabar; Seyedbehzad

Patent Applications and Registrations

Patent applications and USPTO patent grants for Bozorgtabar; Seyedbehzad.The latest application filed is for "real-time annotation of symptoms in telemedicine".

Company Profile

9.8.9

Bozorgtabar; Seyedbehzad - Melbourne AU
Bozorgtabar; Seyedbehzad - Carlton AU

*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
Searching trees: live time-lapse cell-cycle progression modeling and analysis Grant 10,614,575 - Bozorgtabar , et al.	2020-04-07
Searching trees: live time-lapse cell-cycle progression modeling and analysis Grant 10,510,150 - Bozorgtabar , et al. Dec	2019-12-17
Real-time Annotation Of Symptoms In Telemedicine App 20190328300 - BOZORGTABAR; SEYEDBEHZAD ; et al.	2019-10-31
Automated skin lesion segmentation using deep side layers Grant 10,373,312 - Abedini , et al.	2019-08-06
Risk assessment based on patient similarity determined using image analysis Grant 10,283,221 - Abedini , et al.	2019-05-07
Skin lesion segmentation using deep convolution networks guided by local unsupervised learning Grant 10,229,499 - Bozorgtabar , et al.	2019-03-12
Skin lesion segmentation using deep convolution networks guided by local unsupervised learning Grant 10,223,788 - Bozorgtabar , et al.	2019-03-05
Structure-preserving composite model for skin lesion segmentation Grant 10,181,188 - Abedini , et al. Ja	2019-01-15
Structure-preserving composite model for skin lesion segmentation Grant 10,176,574 - Abedini , et al. J	2019-01-08
Searching Trees: Live Time-lapse Cell-cycle Progression Modeling And Analysis App 20180365842 - BOZORGTABAR; SEYEDBEHZAD ; et al.	2018-12-20
Searching Trees: Live Time-lapse Cell-cycle Progression Modeling And Analysis App 20180365841 - BOZORGTABAR; SEYEDBEHZAD ; et al.	2018-12-20
Automated Skin Lesion Segmentation Using Deep Side Layers App 20180130203 - Abedini; Mani ; et al.	2018-05-10
Risk Assessment Based On Patient Similarity Determined Using Image Analysis App 20180121626 - Abedini; Mani ; et al.	2018-05-03
Structure-preserving Composite Model For Skin Lesion Segmentation App 20180122072 - Abedini; Mani ; et al.	2018-05-03
Skin Lesion Segmentation Using Deep Convolution Networks Guided By Local Unsupervised Learning App 20180122071 - BOZORGTABAR; SEYEDBEHZAD ; et al.	2018-05-03
Skin Lesion Segmentation Using Deep Convolution Networks Guided By Local Unsupervised Learning App 20180061046 - BOZORGTABAR; SEYEDBEHZAD ; et al.	2018-03-01
Structure-preserving Composite Model For Skin Lesion Segmentation App 20170243345 - Abedini; Mani ; et al.	2017-08-24

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.