Vesselness-guided Active Contour: A Coronary Vessel Extraction Method

Autor: Maryam Taghizadeh Dehkordi, Morteza Jalalat, Saeed Sadri, Alimohamad Doosthoseini, Mohammad Reza Ahmadzadeh, Rasoul Amirfattahi

Publikováno v: Journal of Medical Signals and Sensors, Vol 4, Iss 2, Pp 150-157 (2014)

Vessel extraction is a critical task in clinical practice. In this paper, we propose a new approach for vessel extraction using an active contour model by defining a novel vesselness-based term, based on accurate analysis of the vessel structure in t

Externí odkaz: https://doaj.org/article/11261bf89ed84b9484cc1e8ef8b32f5c

ARMrayan Multimedia Mobile CMS: a Simplified Approach towards Content-Oriented Mobile Application Designing

Autor: Manashty, Ali Reza, Raji, Mohammad Reza Ahmadzadeh, Jahromi, Zahra Forootan, Rajabzadeh, Amir

Publikováno v: International Conference on Wireless Communication and Mobile Computing (ICWCMC 2010), Proceedings of WASET, vol. 62, pp. 62-67, February 2010

The ARMrayan Multimedia Mobile CMS (Content Management System) is the first mobile CMS that gives the opportunity to users for creating multimedia J2ME mobile applications with their desired content, design and logo; simply, without any need for writ

Externí odkaz: http://arxiv.org/abs/1009.5347

A level‐set method for inhomogeneous image segmentation with application to breast thermography images

Autor: Asma Shamsi Koshki, Maryam Zekri, Mohammad Reza Ahmadzadeh, Saeid Sadri, Elham Mahmoudzadeh

Publikováno v: IET Image Processing, Vol 15, Iss 7, Pp 1439-1458 (2021)

Various level‐set methods have been suggested for segmenting images with intensity inhomogeneity as local region‐based models. The challenge in these methods is segmenting the inhomogeneous images with smooth edges. These methods cannot properly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4511913a68ba35f76a0de2393dd3775d
https://doaj.org/article/fd139da2253a4c04a314e393bb07c1bf

Radar signals classification using energy‐time‐frequency distribution features

Autor: Mohammad Reza Ahmadzadeh, Zahra Seddighi, Mohammad Reza Taban

Publikováno v: IET Radar, Sonar & Navigation. 14:707-715

In this research, the authors extract features from intermediate frequency band radar signals in the time-frequency domain for classification. The extracted features are classified via support vector machine and K-nearest neighbour classifiers. They

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::debf7a64d4fb900657c63e88a18ee287
https://doi.org/10.1049/iet-rsn.2019.0331

Two Efficient Visual Methods for Segment Self-localization

Autor: Maziar Palhang, Mohamad Mahdi Kassir, Mohammad Reza Ahmadzadeh

Publikováno v: SN Computer Science. 2

Localization is an essential step in visual navigation algorithms in robotics. Some visual navigation algorithms define the environment through sequential images, which are called visual path. The interval between each consecutive image is called a s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::56f54491ccf804df9598734aeed04bdd
https://doi.org/10.1007/s42979-021-00492-0