گروه آنالیز تصاویر مغزی: مقالات

 

 

مقالات:

1- Sabaghian, S., Dehghani, H., Batouli, S.A.H., Khatibi, A., Oghabian, M.A. “Fully automatic 3D segmentation of the thoracolumbar spinal cord and the vertebral canal from T2-weighted MRI using K-means clustering algorithm”.Spinal Cord. 2020.

2-Batouli, S.A.H., Alemi, R., Khoshkhouy Delshad, H., Oghabian, M.A.”The influence of mental fatigue on the face and word encoding activations”.2020.

3-Malek, M., Oghabian, Z., Tabibian, E.,Rahmani, M. Miratashi Yazdi SN., Oghabian, M.A., Parviz, S. “Comparison of qualitative (time intensity curve analysis), semi-quantitative, and quantitative multi-phase 3T dce-mri parameters as predictors of malignancy in adnexal”. Asian Pacific Journal Of Cancer Prevention, 2019.

4- Safavian, N., Batouli, S.A.H., Oghabian, M.A . “An automatic level set method for hippocampus segmentation in MR images” . Computer Methods in Biomechanics and Biomedical Engineering. 2019.

5- Amanlou, M., Hashemi, E., Oghabian, M.A., Ardestani, M.S. “Synthesis and biological evaluation of a novel glucosylated derivative of gadolinium diethylenetriaminepentaacetic acid for tumor magnetic resonance imaging”. Iranian Journal of Pharmaceutical Research. 2019.

6-Gharaylou, Z., Shafaghi, L., Oghabian, M.A.,Yonnessi, A., Tafakhori, A.,  Ananloo, E.S., Hadjighassem, M.”Longitudinal effects of bumetanide on neuro-cognitive functioning in drug-resistant epilepsy”. Frontiers in Neurology, 2019.

7- Vejdani Afkham, B., Masjoodi, S., Oghabian, M.A., Ghodsi SR., Nazem Zadeh, MR., Esmati, E., Farzin, M.,Gilasi, M., Hashemi, H.”  Evaluation of contrast agent dose and diffusion coefficient measurement on vessel size index estimation” .Magnetic Resonance Materials in Physics, 2019.

8- Gharaylou, Z., Oghabian, M.A., Azizi, Z., Hadjighassem, M. “Brain microstructural abnormalities correlate with KCC2 downregulation in refractory epilepsy” ,Neuro Report, 2019. 

9- Malek, M., Gity, M., Alidoosti, A.,Oghabian, Z., Rahimifar P., Seyed Ebrahimi SM., Tabibian, E., Oghabian, M.A. “A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters”. European Journal of Radiology, 2019.

10-  Shahbabaie, A., Ebrahimpoor, M., Hariri, A., Nitsche MA., Hatami J.,Fatemizade E., Oghabian, M.A., Ekhtiari, H. “Transcranial DC stimulation modifies functional connectivity of large-scale brain networks in abstinent methamphetamine users”. Brain ,2019.