Armin Eilaghi
Affiliations: | Australian College of Kuwait |
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| Shearkhani O, Khademi A, Eilaghi A, et al. (2017) Detection of Volume-Changing Metastatic Brain Tumors on Longitudinal MRI Using a Semiautomated Algorithm Based on the Jacobian Operator Field. Ajnr. American Journal of Neuroradiology |
| Eilaghi A, Yeung T, d'Esterre C, et al. (2016) Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images. Biomarkers in Cancer. 8: 47-59 |
| Krongold M, Almekhlafi MA, Demchuk AM, et al. (2015) Final infarct volume estimation on 1-week follow-up MR imaging is feasible and is dependent on recanalization status. Neuroimage. Clinical. 7: 1-6 |
| Jakubovic R, Sahgal A, Soliman H, et al. (2014) Magnetic resonance imaging-based tumour perfusion parameters are biomarkers predicting response after radiation to brain metastases. Clinical Oncology (Royal College of Radiologists (Great Britain)). 26: 704-12 |
| Eilaghi A, d'Esterre CD, Lee TY, et al. (2014) Toward patient-tailored perfusion thresholds for prediction of stroke outcome. Ajnr. American Journal of Neuroradiology. 35: 472-7 |
| Eilaghi A, Brooks J, d'Esterre C, et al. (2013) Reperfusion is a stronger predictor of good clinical outcome than recanalization in ischemic stroke. Radiology. 269: 240-8 |
| Sahgal A, Jakubovic R, Milwid R, et al. (2013) MRI Perfusion Biomarkers Predicting Early Response for Brain Metastasis Treated With High-Dose Radiation Therapy International Journal of Radiation Oncology Biology Physics. 87 |
| Aviv RI, Francis PL, Tenenbein R, et al. (2012) Decreased frontal lobe gray matter perfusion in cognitively impaired patients with secondary-progressive multiple sclerosis detected by the bookend technique. Ajnr. American Journal of Neuroradiology. 33: 1779-85 |