Assoc. Prof. İlker Özgür Koska is a physician-scientist and academic with a strong background in biomedical engineering and clinical practice. He earned his Ph.D. in Biomedical Technologies from the Faculty of Engineering at Dokuz Eylül University, İzmir (2017–2024). His research during doctoral studies focused on applying engineering principles to solve medical problems, bridging clinical needs and technological innovation. Following his doctoral training, he joined Acıbadem Health Group in 2025, where he continues to blend clinical expertise with research and development efforts to improve patient care. As an associate professor and medical doctor, he brings interdisciplinary insight to education, research, and clinical collaborations, with a commitment to advancing medical technologies and translating scientific findings into practical healthcare solutions.
Education
- 2017 – 2024 Ph.D. Faculty of Engineering, Department of Biomedical Technologies. Dokuz Eylul University. Izmir
- 2018 Ege University Faculty of Medicine Pediatric Radiology
- 2015 – 2017 Neuroradiology Subspecialty certificate. Turkish Neuroradiology Society
- 2007 Hacettepe University Faculty of Medicine Radiology
- 2002 Hacettepe University Faculty of Medicine
Experience
- 2025 Acibadem Health Group
- 2024 Assoc Dr , Radiology. SBIJ Izmir Faculty of Medicine. Behçet Uz EAH Department of Radiology
- 2019 – 2020 Pediatric Radiology Department Supervisor. Afyon MOHU
Publications
- Letter to the Editor: “Radiomics in differential diagnosis of Wilms turnor and neiroblastoma with adrenal location in children
Hur Radiol. 2025 Mar 6. doi: 10.1007/s00330-025-l 1487-3 Koska 10. Ozcan HN, I an AA. Beydogan B. Ozer G. Oguz B. Ialiloglu M. - End-to-end deep learning patient level classification of affected territory ofischemic stroke patients in DW-MR1.
Neuroradiology 67, 137-151 (2025). https://d0i.0rg/l0.1007/s()0234-024-0”? x Koska. I.O.. Selvcr. A., Gelal, F. et al. - Deep Learning Classification ofischemic Stroke Territory on DilTusion- Weighed MRI: Added Value of Augmenting the Input vvith Image Transformations.
J Imaging Inform Med. 2025 Jun;38(3): 1374-1387. doi: 10.1007/s 10278-024-01277-6 Koska 10. Sclver A. Gelal F, Uluc ME, Cetinoglu YK. Yurttutan N. Serindere M. Dicle O. - Deep learning classification of MGMT status of glioblaslomas using multiparametric MRI with a novel domain knovvledge augmented mask fusion approach.
Sci Rep 15. 3273 (2025). https://cl0i.0rg/lÖ.l 038/s41598-025-87803-0 Koska. İ.Ö., Koska. Ç. - Radiomics in differential diagnosis of Wilms tumor and neuroblastoma vvith adrenal location in children
Eur Radiol 34. 5016-5027 (2024). hıtps:Adoi.or”/10.1007/s00330-024-l 0589-8 Koska. I.O.. Ozcan. I I.N.. Tan, A.A. et! al. - Voxel level dense predietion of acute stroke territory in DW1 using deep learning segmentation modcls and imagc enhancement strategies.
. Jpn./ Radiol 42. 962-972 (2024). https://cloi.oru/10.1007/s 11604-024- 01582-8 Koska. I.O., Selver, M.A., Gelal, F. el al. - Percutaneous Metallic Stcnts in Malignant Biliary Obstruction: Comparison of Nitinol and Wall Stcnts.
J Gastroinlest Ceme 55. 1425-1432 (2024). https://doi.oni/10. 10Q7/sl2029-024-01 IOl-v Koska. İ.Ö.. Akinci. D. & Akhan, O. - All-star approach lo a small medical imaging dataset: combined deep. transfer, and elassieal machine learning approaches for the determination of radi
Ada Racliologica. 2022:64(4): 1476-1483. doi: 10.1 1 77/02841851221122424 Koska Ol. Çilengiı* AH, Uluç ME, Yücel A. Tosun Ö - Detection and vascular territorial classification of stroke on diffusion-enhanced MRI by deep learning
Hur .1 Radiol. 2021 Dec: 145:110050. doi: 10.1016/j.ejrad.2021.110050 Cetinoglu YK. Koska IO. Uluc MF, Gelal MF. - Evaluation of development of subelinieal atheroselerosis in children vvith uveitis.
Cim Rheumatol 37, 1305-1308 (2018). https://doi.orü/l 0. i 007/s 10067-017-3741 -3 C”onkar. S.. Guven Yilmaz. S.. Koska. İ.Ö. el al.
