Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Mohammadreza Ay"'
Autor:
Fatemeh Sadeghi, Peyman Sheikhzadeh, Saeed Farzanehfar, Pardis Ghafarian, Yalda Moafpurian, Mohammadreza Ay
Publikováno v:
EJNMMI Physics, Vol 10, Iss 1, Pp 1-17 (2023)
Abstract Background The Q.Clear algorithm is a fully convergent iterative image reconstruction technique. We hypothesize that different PET/CT scanners with distinct crystal properties will require different optimal settings for the Q.Clear algorithm
Externí odkaz:
https://doaj.org/article/87566c86873f454c9f47a7ecaf1dd80b
Autor:
Peyman Sheikhzadeh, Mohammadreza Ay
Publikováno v:
Frontiers in Biomedical Technologies, Vol 9, Iss 2 (2022)
No Abstract
Externí odkaz:
https://doaj.org/article/8fc0da555698471faac8f0db80b2c9dd
Autor:
Alireza Fallahi, Mohammad Pooyan, Jafar Mehvari Habibabadi, Seyed Sohrab Hashemi-Fesharaki, Narges Hoseini Tabatabaei, Mohammadreza Ay, Mohammad-Reza Nazem-Zadeh
Publikováno v:
Informatics in Medicine Unlocked, Vol 29, Iss , Pp 100876- (2022)
Purpose: We propose a novel data-driven approach to extract and present large-scale functional brain networks from functional magnetic resonance imaging (fMRI) data using spatiotemporal self-organizing maps (STSOM) clustering, accounting for the prop
Externí odkaz:
https://doaj.org/article/91933d14a068402ebdf3a2a2e84f7dcf
Autor:
Mehdi Yousefzadeh, Mozhdeh Zolghadri, Masoud Hasanpour, Fatemeh Salimi, Ramezan Jafari, Mehran Vaziri Bozorg, Sara Haseli, Abolfazl Mahmoudi Aqeel Abadi, Shahrokh Naseri, Mohammadreza Ay, Mohammad-Reza Nazem-Zadeh
Publikováno v:
Informatics in Medicine Unlocked, Vol 30, Iss , Pp 100935- (2022)
Detection of the COVID 19 virus is possible through the reverse transcription-polymerase chain reaction (RT-PCR) kits and computed tomography (CT) images of the lungs. Diagnosis via CT images provides a faster diagnosis than the RT-PCR method does. I
Externí odkaz:
https://doaj.org/article/32f363cbab41489eade9540c5083ebd1
Autor:
Aram Radnia, Hamed Abdollahzadeh, Behnoosh Teimourian, Mohammad Hossein Farahani, Mohammadreza Ay
Publikováno v:
Frontiers in Biomedical Technologies, Vol 8, Iss 2 (2021)
Purpose: Using an itra-operative gamma probe after injection of radiotracer during surgery helps the surgeon to identify the sentinel lymph node of regional metastasis through the detection of radiation. This work reports the design and specification
Externí odkaz:
https://doaj.org/article/f7f9484b26af407a8c298455f138f9fa
Autor:
Micaeil Mollazadeh, Mahmood Allahverdi, Tayyeb Allahverdi Pourfallah, Nader Riahi Alam, Mohammadreza Ay
Publikováno v:
Iranian Journal of Medical Physics, Vol 7, Iss 2, Pp 81-93 (2010)
Introduction: GafChromic EBT films are one of the self-developing and modern films commercially available for dosimetric verification of treatment planning systems (TPSs). Their high spatial resolution, low energy dependence and near-tissue equivalen
Externí odkaz:
https://doaj.org/article/994652c5ebcc4f9aa754acece0e486a3
Autor:
Leaila Karimi-Afshar, Nader Riahi Alam, Mohammadreza Ay, Mahmoud Allahverdi, Tayeb Alahverdi purfallah, Hassan Hashemi, Ahmad Farahani, Behrooz Reafie, Morteza Bakhteiari
Publikováno v:
Iranian Journal of Medical Physics, Vol 6, Iss 2, Pp 59-70 (2009)
Introduction: Computed tomography (CT) has numerous applications in clinical procedures but its main problem is its high radiation dose to the patients compared to other imaging modalities using x-ray. CT delivers approximately high doses to the near
Externí odkaz:
https://doaj.org/article/5fda390024014f22b8063b0b694e007a
Autor:
Ali Mahmoud Pashazadeh, Kaveh Tanha, Forough Jafarian-Dehkordi, Majid Assadi, Vahideh Moji, Navid Zeraatkar, Mohammadreza Ay
Publikováno v:
Frontiers in Biomedical Technologies, Vol 1, Iss 3 (2014)
Purpose: In this report, the preliminary results of the experimental evaluation of the Performance of HiReSPECT scanner have been illustrated. Methods: In order to assess the capability of the scanner in both planar and tomographic modes, three rats
Externí odkaz:
https://doaj.org/article/603cc1ed05d44c609a467000547a866c
Autor:
Samira Abbaspour, Hamid Abdollahi, Hossein Arabalibeik, Maedeh Barahman, Amir Mohammad Arefpour, Pedram Fadavi, Mohammadreza Ay, Seied Rabi Mahdavi
Publikováno v:
Abdominal Radiology. 47:3645-3659
The current study aimed to evaluate the association of endorectal ultrasound (EUS) radiomics features at different denoising filters based on machine learning algorithms and to predict radiotherapy response in locally advanced rectal cancer (LARC) pa
Publikováno v:
Iranian Journal of Radiology. 20
Background: The quality of positron emission tomography/computed tomography (PET/CT) images plays an important role in tumor detection. This imaging method often yields poor-quality images of overweight patients due to the high level of noise, origin