Projects per year
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Dive into the research topics where Division of Computer Sciences is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Çizge Karşıtlığı Temelli Temsil Öğrenmesi Ile Yüksek Hassasiyetli Protein Fonksiyon Tahmini
Doğan, T. (PI)
15/06/25 → …
Project: Research › TUBITAK
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Basınç Ülserlerinin Sınıflandırılması Ve Standardizasyonu İçin Görüntü Tabanlı Yapay Zekâ Destekli Karar Destek Sisteminin Geliştirilmesi
Zalluhoğlu, C. (PI)
12/02/25 → …
Project: Research › TUBITAK
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AISym4MED (SYNTHETIC AND SCALABLE DATA PLATFORM FOR MEDICAL EMPOWERED AI)
Keçeli, A. S. (CoI)
4/06/23 → …
Project: Research › EU
Research output
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Adaptive Knowledge Distillation for Anatomical Segmentation in Pelvic CT Imaging of Prostate Cancer
Karataş, R., Demir, B., Kaya, A., Özkan, E. & Küçük, N. Ö., 2026, (Accepted/In press) In: Annals of Biomedical Engineering.Research output: Contribution to journal › Article › peer-review
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Benchmarking of Sentence Transformers in Text-Based Drug-Drug Interaction Classification
Bayraktar, K., Sezer, E. A., Mutlu, B. & Özdemir, S., 2026, Emerging Trends in Computational Biology, Biomedical Engineering, and Health Informatics - 26th International Conference, BIOCOMP 2025, 11th International Conference, BIOENG 2025, and 11th International Conference, HIMS 2025, Held as Part of the World Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2025, Revised Selected Papers. Alsadoon, A., Ghareh Mohammadi, F., Shenavarmasouleh, F., Amirian, S., Arabnia, H. R. & Deligiannidis, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 235-248 14 p. (Communications in Computer and Information Science; vol. 2935 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Collaborative Dual-Network Training with Region-Based Knowledge Distillation for Semi-Supervised Medical Image Segmentation
Karataş, R. & Kaya, A., 2026, In: IEEE Access. 14, p. 23996-24017 22 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)