Peer-reviewed Articles
Ozturk-Isik, E., Cengiz, S., Ozcan, A., Yakicier, C., A. Danyeli, E., Pamir, M. N., et al.. (2019). Identification of IDH and TERTp mutation status using 1H-MRS in 112 hemispheric diffuse gliomas. Journal of Magnetic Resonance Imaging. doi:10.1002/jmri.26964
Kıçik, A., Tüzün, E., Erdoğdu, E., Bilgiç, B., Tüfekçioğlu, Z., Ozturk-Isik, E., et al.. (2019). Neuroinflammation mediators are reduced in sera of Parkinson’s disease patients with mild cognitive impairment.. Arch Neuropsychiatry. doi:10.29399/npa.23624
Citak-Er, F., Firat, Z., Kovanlikaya, I., Ture, U., & Ozturk-Isik, E.. (2018). Machine-learning in grading of gliomas based on multi-parametric magnetic resonance imaging at 3T. Comput Biol Med., 99, 154-160. doi:10.1016/j.compbiomed.2018.06.009
Ozturk, N., Ozturk-Isik, E., & Ulgen, Y.. (2018). Screening post-menopausal women for bone mineral level by bioelectrical impedance spectroscopy of dominant arm. J Electr Bioimp, 9(39), 39-47.
Hatay, G. H., Yildirim, M., & Ozturk-Isik, E.. (2017). Considerations in applying compressed sensing to in vivo phosphorus MR spectroscopic imaging of human brain at 3T. Med Biol Eng ComputMed Biol Eng ComputMed Biol Eng Comput, 55(8), 1303-1315.
Cihangiroglu, M. M., Ozturk-Isik, E., Firat, Z., Kilickesmez, O., Ulug, A. M., & Ture, U.. (2017). Preoperative grading of supratentorial gliomas using high or standard b-value diffusion-weighted MR imaging at 3T. Diagnostic and Interventional Imaging, 98(3), 261 - 268. doi:https://doi.org/10.1016/j
Ozturk-Isik, E., Marshall, I., Filipiak, P., Benjamin, A. J., Ones, V. G., Ramon, R. O., & Hernandez, M. D. Valdes. (2017). Workshop on reconstruction schemes for magnetic resonance data: summary of findings and recommendations. Royal Society Open Science, 4(2), 160731.
Acar, Ö., Ozturk-Isik, E., Mut, T., Sağlıcan, Y., Onay, A., Vural, M., et al.. (2015). Comparison of the trifecta outcomes of robotic and open nephron-sparing surgeries performed in the robotic era of a single institution. SpringerPlus, 4(1), 472.
Cebeci, H., Aydin, O., Ozturk-Isik, E., Gumus, C., Inecikli, F., Bekar, A., et al.. (2014). Assesment of perfusion in glial tumors with arterial spin labeling; comparison with dynamic susceptibility contrast method. Eur J Radiol, 83, 1914-9.
Citak-Er, F., Vural, M., Acar, O., Esen, T., Onay, A., & Ozturk-Isik, E.. (2014). Final Gleason score prediction using discriminant analysis and support vector machine based on preoperative multiparametric MR imaging of prostate cancer at 3T. Biomed Res Int, 2014, 690787.
Ozturk-Isik, E., Pirzkall, A., Lamborn, K. R., Cha, S., Chang, S. M., & Nelson, S. J.. (2012). Spatial characteristics of newly diagnosed grade 3 glioma assessed by magnetic resonance metabolic and diffusion tensor imaging. Transl Oncol, 5, 10-8.
Li, Y., Xu, D., Ozturk-Isik, E., Lupo, J. M., Chen, A. P., Vigneron, D. B., & Nelson, S. J.. (2012). T1 and T2 Metabolite Relaxation Times in Normal Brain at 3T and 7T. J Mol Imag Dynam. doi:10.4172/2155-9937.S1-002
