Peer-reviewed Articles
U. Ay et al., “Beyond atrophy: Network-level functional disintegration pattern along the cognitive decline in Parkinson’s disease,” Behavioural Brain Research, vol. 511, Aug. 2026, doi: 10.1016/j.bbr.2026.116289.
Turhan, G., Cetin, A.I., Padrela, B.E. et al. Cerebral blood flow and time of exchange measurements using multi-TE blood–brain barrier arterial spin labeling MRI in IDH mutational subgroups of gliomas. Magn Reson Mater Phy (2026). https://doi.org/10.1007/s10334-026-01348-5
Sümer-Arpak E, Ersen Danyeli A, Yakicier MC, Pamir MN, Özduman K, Dinçer A and Ozturk-Isik E (2026) Radiomics-based models to predict IDH mutation status and prognosis in gliomas using MRI: a multicenter study. Front. Oncol. 16:1775958. doi: 10.3389/fonc.2026.1775958
Bas, A., & Ozturk-Isik, E.. (2026). IDH Mutation Assessment in Gliomas from Anatomical MRI Using Deep Learning: A Comparative Analysis of Centralized and Federated Learning Frameworks. Diagnostics(Basel), 16. presented at the 02/2026. doi:10.3390/diagnostics16040623
Ay U, Yıldırım Z, Kicik A, et al. Posterior Atrophy is a Neuroimaging Marker of Mild Cognitive Impairment in Parkinson's Disease. Noro Psikiyatr Ars. 2026;63:137-143. Published 2026 Feb 2. doi:10.29399/npa.28821
Sacli-Bilmez, B., Bas, A., Danyeli, A. Erşen, Yakicier, C. M., M. Pamir, N., Özduman, K., et al.. (2025). Detecting IDH and TERTp mutations in diffuse gliomas using 1H-MRS with attention deep-shallow networks. Computers in Biology and Medicine, 186.
Kıçik, A., Bayram, A., Erdoğdu, E., Kurt, E., Saridede, D. B., Cengiz, S., et al.. (2025). Investigation of symptom-specific functional connectivity patterns in Parkinson’s disease. Neurological Sciences, 46. doi:10.1007/s10072-025-08287-4
Ayaz, H., Sümer-Arpak, E., Öztürk, E. Işık, Booth, C. T., Tormey, D., McLoughlin, I., & Unnikrishnan, S.. (2025). Post-hoc eXplainable AI methods for analyzing medical images of gliomas (— A review for clinical applications). Computers in Biology and Medicine, 196/A. doi:10.1016/j.compbiomed.2025.11
Lefort-Besnard, J., Pron, A., Clement, P., Barker, G., Erez, Y., Fernández-Seara, M. A., et al.. (2025). Which infrastructure can I use to share human neuroimaging data? Recommendations for EU researchers based on a survey and literature review. Aperture Neuro, 5(SI 2). presented at the 2025. doi:10
Azamat, S., Gürkaş, E., & Ozturk-Isik, E.. (2024). Advances in Machine Learning for Magnetic Resonance Imaging of Acute Ischemic Stroke: A Systematic Review. Current Research in MRI. presented at the 04/2024. doi:10.5152/CurrResMRI.2024.23085
Erdoğan, M. Ş., Arpak, E. S., Keles, C. S. K., Villagra, F., Ozturk-Isik, E., Afşar, N., et al.. (2024). Biochemical, biomechanical and imaging biomarkers of ischemic stroke: Time for integrative thinking. European Journal of Neuroscience. doi:10.1111/ejn.16245
Padrela, B., Mahroo, A., Tee, M., Sneve, M. H., Moyaert, P., Geier, O., et al.. (2024). Developing blood-brain barrier arterial spin labelling as a non-invasive early biomarker of Alzheimer's disease (DEBBIE-AD): a prospective observational multicohort study protocol. BMJ Open. doi:10.1136/bmjopen-2
