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

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. presented at the 03/2025. Retrieved from https://w

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

Buz-Yalug, B., Turhan, G., Cetin, A. Irem, Dindar, S. Samet, Danyeli, A. Ersen, Yakicier, C., et al.. (2024). Identification of IDH and TERTp mutations using dynamic susceptibility contrast MRI with deep learning in 162 gliomas. European Journal of Radiology. doi:https://doi.org/10.1016/j.ejrad.2023

Aydın, E., Durmuş, F., Torlak, N., Oria, M., N Bayazıt, G., Ozturk-Isik, E., et al.. (2024). Pulmonary vasculature development in congenital diaphragmatic hernia: a novel automated quantitative imaging analysis. Pediatric Surgery International. doi:10.1007/s00383-024-05643-x.

Lyu, Q., Parreno-Centeno, M., Papa, J. P., Ozturk-Isik, E., Booth, T. C., & Costen, F.. (2024). SurvNet: A low-complexity convolutional neural network for survival time classification of patients with glioblastoma. Heliyon. doi:10.1016/j.heliyon.2024.e32870

Azamat, S., Buz-Yalug, B., Dindar, S. Samet, Tan, K. Yilmaz, Ozcan, A., Can, O., et al.. (2024). Susceptibility-Weighted MRI for Predicting NF-2 Mutations and S100 Protein Expression in Meningiomas. Diagnostics. doi:https://doi.org/10.3390/ diagnostics14070748