Výsledky vyhledávání - "Amir Khosravifard"

Akademický článek

Introducing a new auto edge detection technique capable of revealing cervical root resorption in CBCT scans with pronounced metallic artifacts

Autor: Negar Khosravifard, Bardia Vadiati Saberi, Amir Khosravifard, Amirreza Hendi, Kimia Shadi, Sanaz Mihandoust, Zahra Yousefi, Tahereh Mortezaei, Mohammad Ebrahim Ghaffari

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)

Abstract Cervical resorption is a serious threat to the longevity of the teeth. In this study, the Canny edge-detection algorithm was applied on CBCT images to compare the accuracy of original and Canny views for diagnosing cervical resorption in end

Externí odkaz: https://doaj.org/article/9ecfddaa5a894e1ca8133c2287503155

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

A diagnostic accuracy study on an innovative auto-edge detection technique for identifying simulated implant fractures on radiographic images

Autor: Negar Khosravifard, Bardia Vadiati Saberi, Amir Khosravifard, Hamidreza Zakerjafari, Reihaneh Vafaei, Mohammad Ebrahim Ghaffari

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)

Abstract Implant fracture is a rare but devastating complication of treatment in partially or fully edentulous patients which requires prompt diagnosis. Nevertheless, studies on defining the most accurate technique for the detection of implant fractu

Externí odkaz: https://doaj.org/article/adebc731b1a544859ba6b9231325cf82

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Identification of Time Variations of Moving Loads Applied to Plates Resting on Viscoelastic Foundation Using a Meshfree Method

Autor: Sogol Behradnia, Amir Khosravifard, Mohammad-Rahim Hematiyan, Yui-Chuin Shiah

Publikováno v: Aerospace, Vol 9, Iss 7, p 357 (2022)

Dynamic identification of the intensity of the moving loads applied to structures is an important task in aerospace, marine, and transportation industries. In the present work, a general technique is presented for identification of the time variation

Externí odkaz: https://doaj.org/article/b67dcc871405419f81a33c507a979722

Zobrazit plný text záznamu