Year |
Citation |
Score |
2020 |
Marzban EN, Eldeib AM, Yassine IA, Kadah YM. Alzheimer's disease diagnosis from diffusion tensor images using convolutional neural networks. Plos One. 15: e0230409. PMID 32208428 DOI: 10.1371/Journal.Pone.0230409 |
0.357 |
|
2018 |
Esmail EH, Dein HMSE, Yassine IA, Zakaria R. Thalamocortical Tracts, but not the Putamen, Present Microstructural Abnormalities in Juvenile Myoclonic Epilepsy: A Diffusion Tractography Study Journal of Pediatric Epilepsy. 7: 14-20. DOI: 10.1055/S-0038-1637731 |
0.339 |
|
2018 |
Algunaid RF, Algumaei AH, Rushdi MA, Yassine IA. Schizophrenic patient identification using graph-theoretic features of resting-state fMRI data Biomedical Signal Processing and Control. 43: 289-299. DOI: 10.1016/J.Bspc.2018.02.018 |
0.336 |
|
2012 |
Mustafa ZA, Abrahim BA, Yassine IA, Zayed N, Kadah YM. Wavelet domain bilateral filtering with subband mixing for magnetic resonance image enhancement Journal of Medical Imaging and Health Informatics. 2: 230-237. DOI: 10.1166/Jmihi.2012.1089 |
0.329 |
|
2012 |
Abrahim BA, Mustafa ZA, Yassine IA, Zayed N, Kadah YM. Hybrid total variation and wavelet thresholding speckle reduction for medical ultrasound imaging Journal of Medical Imaging and Health Informatics. 2: 114-124. DOI: 10.1166/Jmihi.2012.1072 |
0.322 |
|
2011 |
McGraw T, Kawai T, Yassine I, Zhu L. Visualizing high-order symmetric tensor field structure with differential operators Journal of Applied Mathematics. 2011. DOI: 10.1155/2011/142923 |
0.493 |
|
2010 |
Kadah YM, Yassine IA. Multi-component fiber track modelling of diffusion-weighted magnetic resonance imaging data Journal of Advanced Research. 1: 39-51. DOI: 10.1016/J.Jare.2010.02.001 |
0.393 |
|
2009 |
Yassine I, McGraw T. 4th order diffusion tensor interpolationwith divergence and curl constrained bé zier patches Proceedings - 2009 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2009. 634-637. DOI: 10.1109/ISBI.2009.5193127 |
0.541 |
|
2009 |
McGraw T, Kawai T, Yassine I, Zhu L. New scalar measures for diffusion-weighted MRI visualization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5875: 934-943. DOI: 10.1007/978-3-642-10331-5_87 |
0.558 |
|
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