Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Narjes, Benameur"'
Publikováno v:
IEEE Access, Vol 12, Pp 112381-112396 (2024)
In clinical routine, the assessment of myocardial viability is based on visual analysis of late gadolinium enhancement (LGE) sequences. This procedure remains subjective and insufficient, particularly in cases of improbable viability, where scar tran
Externí odkaz:
https://doaj.org/article/4dddff09bbaa4f3fbde16e870f27b273
Autor:
Rania Awadi, Narjes Benameur, Hassen Hafsi, Thouraya Ben Younes, Younes Arous, Salam Labidi, João Manuel R. S. Tavares
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10341 (2024)
Assessing myocardial strain remains challenging, particularly in the pediatric population, due to the smaller heart sizes, higher heart rates, and variability in strain parameters compared to adult populations. This study aimed to investigate the uti
Externí odkaz:
https://doaj.org/article/62ec749dfea64ace9dc8845c0d373663
Autor:
Ramzi Mahmoudi, Narjes Benameur, Rania Mabrouk, Mazin Abed Mohammed, Begonya Garcia-Zapirain, Mohamed Hedi Bedoui
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 4825 (2022)
Background: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a global threat impacting the lives of millions of people worldwide. Automated detection of lung infections from Computed Tomography scans represents an excellent alternative
Externí odkaz:
https://doaj.org/article/548546782d73436d838dd773ba5d3133
Publikováno v:
Procedia Computer Science. 219:1216-1223
Publikováno v:
Procedia Computer Science. 219:1177-1184
Autor:
Narjes, Benameur, Ramzi, Mahmoudi
Medical image processing tools play an important role in clinical routine in helping doctors to establish whether a patient has or does not have a certain disease. To validate the diagnosis results, various clinical parameters must be defined. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=intech______::587a6f0e6c822cef9ddd9a6f6145be9b
https://mts.intechopen.com/articles/show/title/deep-learning-in-medical-imaging
https://mts.intechopen.com/articles/show/title/deep-learning-in-medical-imaging
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 9:678-689
Early detection of chordae tendineae state through medical imaging has a significant impact in reducing the clinical progression of mitral valve disease. This study proposes two methods for trackin...
Publikováno v:
Proceedings of Seventh International Congress on Information and Communication Technology ISBN: 9789811923937
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f03d1da11b2a0bff97872e4a54d7411c
https://doi.org/10.1007/978-981-19-2394-4_7
https://doi.org/10.1007/978-981-19-2394-4_7
Autor:
Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Younes Arous, Ramzi Mahmoudi, Mohamed Hedi Bedoui, Begonya Garcia-Zapirain, Narjes Benameur
Publikováno v:
Computers, Materials & Continua. 69:1233-1252
Autor:
Narjes Benameur, Ramzi Mahmoudi, Enrico Gianluca Caiani, Younes Arous, Foued Saâdaoui, Halima Mahjoubi
Publikováno v:
Clinical imaging. 89
The aim of this study was to assess the relationship between left ventricular (LV) regional myocardial wall motion abnormality (WMA), revealed by visual interpretation of cardiac magnetic resonance (CMR) cine images together with the computed wall mo