Radiology

Doç. Dr. İlker Özgür Koska

Doctor and researcher Acıbadem Kent Hastanesi (İzmir) İzmir
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Education and experience

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Experience

  • 2025Acıbadem Sağlık Grubuacibadem.com.tr
  • 2024Doç Dr , Radyoloji. SBIJ İzmir Tıp Fakültesi. Behçet Uz EAH Radyoloji Bölümüacibadem.com.tr
  • 2019 - 2020Pediatrik Radyoloji Bölüm Sorumlusu. Afyon SBÜacibadem.com.tr

Education

  • 2024Ph.D. Mühendislik Fakültesi Biyomedikal Teknolojiler Bölümü. Dokuz Eylül Üniversitesi. İzmir, Digeracibadem.com.tr
  • 2018Ege Üniversitesi Tıp Fakültesi, Pediyatrik Radyoloji, Üst Uzmanlıkacibadem.com.tr
  • 2017Nöroradyoloji Yan dal sertifikası. Türk Nöroradyoloji Derneği, Digeracibadem.com.tr
  • 2007Hacettepe Üniversitesi Tıp Fakültesi, Radyoloji, Uzmanlıkacibadem.com.tr
  • 2002Hacettepe Üniversitesi Tıp Fakültesi, Üniversiteacibadem.com.tr

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  • SpecialtyRadiologyacibadem.com.trFrom source
  • InstitutionAcıbadem Kent Hastanesi (İzmir)acibadem.com.trFrom source
  • Publications10 publicationsacibadem.com.tr profile pageFrom source
  • Last synchronised4 November 2026 21:11https://www.acibadem.com.tr/doktor/ilker-ozgur-koska/acibadem.com.tr

Scientific work

Publications

10 publications

  1. Letter to the Editör: 'Radiomics in differential diagnosis oT Wilms turnor and neııroblastoma with adrenal location in children

    Source: acibadem.com.tr profile page

  2. End-to-end deep learning patient level classifıcation of afTected territory ofischemic stroke patients in DW- MR1.

    Source: acibadem.com.tr profile page

  3. Deep Learning Classification ofischemic Stroke Territory on DilTusion- Weighled MRI: Added Value of Augmenting the Input vvith Image Transformalions.

    Source: acibadem.com.tr profile page

  4. Deep learning classifıcation of MGMT status of glioblaslomas using multiparametric MRI with a novel domain knovvledge augmented mask fıısion approach.

    Source: acibadem.com.tr profile page

  5. Radiomics in differential diagnosis of Wilms tumor and neuroblastoma vvith adrenal location in children

    Source: acibadem.com.tr profile page

  6. Voxel level dense predietion of acute slroke territory in DW1 using deep learning segmentation modcls and imagc enhancement strategies.

    Source: acibadem.com.tr profile page

  7. Percutaneous Metallic Stcnts in Malignant Biliary Obstruction: Comparison of Nitinol and Wall Stcnts.

    Source: acibadem.com.tr profile page

  8. All-star approach lo a small medical imaging dataset: combined deep. transfer, and elassieal machine learning approaches for the determination of radi

    Source: acibadem.com.tr profile page

  9. Detection and vascular territorial classification of stroke on diffusion-vveighted MRI by deep learning

    Source: acibadem.com.tr profile page

  10. Evaluation of development of subelinieal atheroselerosis in children vvith uveitis.

    Source: acibadem.com.tr profile page