Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mohamed O. Ibrahim"'
Autor:
Yousuf Bakhit, Christelle Tesson, Mohamed O. Ibrahim, Khalid Eltom, Isra Eltazi, Liena E.O. Elsayed, Suzanne Lesage, Osheik Seidi, Jean‐Christophe Corvol, Ullrich Wüllner, Sudanese Parkinson's Disease Study Group
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 10, Iss 6, Pp 983-989 (2023)
Abstract Introduction The phospholipase A2 group VI gene (PLA2G6) encodes an enzyme that catalyzes the hydrolytic release of fatty acids from phospholipids. Four neurological disorders with infantile, juvenile, or early adult‐onset are associated w
Externí odkaz:
https://doaj.org/article/f4451ea65aae4f268123131be8526103
Autor:
Yousuf Bakhit, Ina Schmitt, Ahlam Hamed, Etedal Ahmed A. Ibrahim, Inaam N. Mohamed, Sarah M. El-Sadig, Maha A. Elseed, Mohamed A. Alebeed, Mutaz T. Shaheen, Mohamed O. Ibrahim, Ali A. Elhassan, Khalid Eltom, Hiba A. Ali, Yousuf A. Ibrahim, Murad E. Almak, Rayan Abubaker, Mohamed Anwer Ahmed, Ahmed A. Abugrain, Salma M. Elrasheed, Mawia A. Omar, Mohamed A. Almahal, Abubaker A. MohamedSharif, Mohamed Y. Tahir, Sawazen M. Malik, Hazim S. Eldirdiri, Reem J. Khidir, Malaz T. Mohamed, Abdelmohaymin Abdalla, Farouk Yassen Omer, Liena E.O. Elsayed, Haydar El Hadi Babikir, Elfateh Abd-Allah Bukhari, Osheik Seidi, Ullrich Wüllner
Publikováno v:
Parkinsonism & related disorders 101, 6-8 (2022). doi:10.1016/j.parkreldis.2022.05.009
Several studies suggested a significant role of epigenetic changes, including alterations in miRNA, histone modifications, and DNA methylation of α-synuclein (SNCA) in Parkinson's disease (PD) pathogenicity. As of yet, only very few studies have bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfd43c3609105238a4b9adf3563e5945
https://doi.org/10.1016/j.parkreldis.2022.05.009
https://doi.org/10.1016/j.parkreldis.2022.05.009
Autor:
Yousuf Bakhit, Mohamed O. Ibrahim, Christelle Tesson, Ali A. Elhassan, Mohamed Anwer Ahmed, Mohamed A. Alebeed, Salma M. Elrasheed, Mawia A. Omar, Rayan Abubaker, Khalid Eltom, Mutaz T. Shaheen, Yousuf A. Ibrahim, Murad E. Almak, Hiba A. Ali, Ahmed A. Abugrain, Mohamed A. Almahal, Abubaker A. MohamedSharif, Mohamed Y. Tahir, Sawazen M. Malik, Hazim Eldirdiri Abdelrahman, Reem J. Khidir, Malaz T. Mohamed, Abdelmohaymin Abdalla, Liena E.O. Elsayed, Suzanne Lesage, Jean-Christophe Corvol, Osheik Seidi, Ullrich Wüllner
Publikováno v:
Parkinsonism & related disorders 111, 105401 (2023). doi:10.1016/j.parkreldis.2023.105401
PINK1 is the second most predominant gene associated with autosomal recessive Parkinson's disease. Homozygous mutations in this gene are associated with an early onset of symptoms. Bradykinesia, tremors, and rigidity are common features, while dyston
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::698fe6b0a1dd89e05ba7f8c52ebe61e2
https://doi.org/10.1016/j.parkreldis.2023.105401
https://doi.org/10.1016/j.parkreldis.2023.105401
Publikováno v:
Journal of Digital Imaging. 21:69-88
In this paper, a new neural network model inspired by the biological immune system functions is presented. The model, termed Artificial Immune-Activated Neural Network (AIANN), extracts classification knowledge from a training data set, which is then
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d47100790cb291376672b8b65514f6d
https://doi.org/10.1007/s10278-007-9081-0
https://doi.org/10.1007/s10278-007-9081-0
Autor:
Hassan A. Soliman, Gamal Z. Abdel Aal, Reem H. Sayed, Mohamed O. Ibrahim, Anna A. Klochko, Dmitry Shishkov
Publikováno v:
International Conference on Engineering Geophysics, Al Ain, United Arab Emirates, 15-18 November 2015.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9d4fd0e39bc41d498d0a0c508f73bf0
https://doi.org/10.1190/iceg2015-030
https://doi.org/10.1190/iceg2015-030
Publikováno v:
Image and Vision Computing. 24:1065-1079
This paper introduces a 3D MRI segmentation algorithm based on Hidden Markov Models (HMMs). The mathematical models for the HMM that forms the basis of the segmentation algorithm for both the continuous and discrete cases are developed and contrasted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcb9598a81c0cd0072c91321eadd0eaa
https://doi.org/10.1016/j.imavis.2006.03.001
https://doi.org/10.1016/j.imavis.2006.03.001
Publikováno v:
Journal of Digital Imaging. 16:365-377
In this article we describe a statistical model that was developed to segment brain magnetic resonance images. The statistical segmentation algorithm was applied after a pre-processing stage involving the use of a 3D anisotropic filter along with his
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bd4761dafc3a141db8c11b39672bf6a
https://doi.org/10.1007/s10278-003-1664-9
https://doi.org/10.1007/s10278-003-1664-9