Zobrazeno 1 - 10
of 1 360
pro vyhledávání: '"Alizad A"'
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Hepatocellular Carcinoma (HCC), the most common primary liver cancer, is a significant contributor to worldwide cancer-related deaths. Various medical imaging techniques, including computed tomography, magnetic resonance imaging, and ultrasound, play
Externí odkaz:
https://doaj.org/article/75759f4a4941408ea43d5c8d34ca02d6
Publikováno v:
Head & Face Medicine, Vol 20, Iss 1, Pp 1-11 (2024)
Abstract Background Transgingival probing is conventionally used for gingival thickness (GT) measurement. However, invasiveness is a major drawback of transgingival probing. Thus, researchers have been in search of alternative methods for measurement
Externí odkaz:
https://doaj.org/article/5d84749b4cf646a3bc81b9abeb922bf8
Autor:
Fattah-alhosseini, Arash, Chaharmahali, Razieh, Alizad, Sajad, Babaei, Kazem, Stojadinović, Stevan
Publikováno v:
In Nano-Structures & Nano-Objects September 2024 39
Autor:
Radfar, Soheil, Mahmoudi, Sadaf, Moftakhari, Hamed, Meckley, Trevor, Bilskie, Matthew V., Collini, Renee, Alizad, Karim, Cherry, Julia A., Moradkhani, Hamid
Publikováno v:
In Science of the Total Environment 15 August 2024 938
Publikováno v:
In Solid State Ionics August 2024 411
Publikováno v:
IEEE Access, Vol 12, Pp 116150-116161 (2024)
Suppression of background noise in clutter filtered contrast-free ultrasound microvasculature images is an important step towards better visualization, accurate segmentation, and subsequent morphological analysis of vascular structures. While differe
Externí odkaz:
https://doaj.org/article/019b17554a0249a29de518311ceb2450
Autor:
Pradeep Kumar Chaudhary, Juanjuan Gu, David P. Rosen, Nicholas B. Larson, Jane E. Brumbaugh, Mostafa Fatemi, Azra Alizad
Publikováno v:
IEEE Access, Vol 12, Pp 106707-106719 (2024)
Despite advances in neonatal care, metabolic bone disease of prematurity (MBDP) remains a common problem in preterm infants. The development of non-invasive and affordable diagnostic approaches can be highly beneficial in the diagnosis and management
Externí odkaz:
https://doaj.org/article/8f39e46915c94307aeeba1cb8062cf3b
Publikováno v:
IEEE Access, Vol 12, Pp 60541-60555 (2024)
Automated and precise segmentation of breast lesions can facilitate early diagnosis of breast cancer. Recent research studies employ deep learning for automatic segmentation of breast lesions using ultrasound imaging. Numerous studies introduce somew
Externí odkaz:
https://doaj.org/article/d3d53e17515a48419f67aae204164e55
Publikováno v:
In Ceramics International 15 November 2024 50(22) Part A:45083-45093
Autor:
Ali, Naim Ben, Basem, Ali, Ghodratallah, Pooya, Singh, Pradeep Kumar, Musa, Veyan A., Jasim, Dheyaa J., Ali, Rifaqat, Rajab, Husam, Ahmed, Mohsen, Alizad, A.A.
Publikováno v:
In Journal of the Taiwan Institute of Chemical Engineers November 2024 164