Vision Transformer-Based Approach for Walnut Leaf Classification
Vision Transformer-Based Approach for Walnut Leaf Classification
Embedded Files
Demir, A. A., & Dursun Demir, G. (2026). VISION TRANSFORMER-BASED APPROACH FOR WALNUT LEAF CLASSIFICATION. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 29(2), 608-616. https://izlik.org/JA66TP89FN
A Novel Reversible Image Camouflaging Method Based on Lossless Matrix Transformation
A Novel Reversible Image Camouflaging Method Based on Lossless Matrix Transformation
Dursun Demir, G., & Özkaya, U. (2026). A Novel Reversible Image Camouflaging Method Based on Lossless Matrix Transformation. Mathematics, 14(7), 1111. https://doi.org/10.3390/math14071111
DOI: 10.3390/math14071111.
Adversarial Mask Generation for Robust Cervical Cell Segmentation
Adversarial Mask Generation for Robust Cervical Cell Segmentation
G.Dursun Demir and U.Özkaya, “Adversarial Mask Generation for Robust Cervical Cell Segmentation,” International Journal of Imaging Systems and Technology36, no. 2 (2026): e70335, https://doi.org/10.1002/ima.70335.
DOI: 10.1002/ima.70335.
A Robust Generative Segmentation Method for Panoramic Dental Radiography Images
A Robust Generative Segmentation Method for Panoramic Dental Radiography Images
Başagaoglu Fındık A., Dursun Demir, G., Ozkaya, U., Ozdemir G. (2025). A Robust Generative Segmentation Method for Panoramic Dental Radiography Images. International Journal of Imaging Systems and Technology, 35(3), e70099 .
DOI: 10.1002/ima.70099
Combined segmentation and classification-based approach to automated analysis of biomedical signals obtained from calcium imaging
Combined segmentation and classification-based approach to automated analysis of biomedical signals obtained from calcium imaging
Dursun, G., Bijelić, D., Ayşit, N., Kurt Vatandaşlar, B., Radenović, L., Çapar, A., ... & Özkaya, U. (2023). Combined segmentation and classification-based approach to automated analysis of biomedical signals obtained from calcium imaging. Plos one, 18(2), e0281236.
DOI: 10.1371/journal.pone.0281236
GitHub : Link
PhD Thesis
PhD Thesis
Title: Biyomedikal İmgeler İçin Yapay Zekâ Tabanlı Hücre Segmentasyonu Yöntemi (Artificial intelligence based cell segmentation method for biomedical images)
Who is More Successful in Detecting Cervical High-grade Squamous Intraepithelial Lesions in Atrophic Background? Pathologists or Artificial Intelligence?
Who is More Successful in Detecting Cervical High-grade Squamous Intraepithelial Lesions in Atrophic Background? Pathologists or Artificial Intelligence?
Bayramoglu, Z., Demir, G. D., Ozkaya, U., Capar, A., Abacioglu, T., Aktepe, F., ... Baycelebi, D.(2023). Who is More Successful in Detecting Cervical High-grade Squamous Intraepithelial Lesions in Atrophic Background? Pathologists or Artificial Intelligence?. LABORATORY INVESTIGATION , vol.103, no.3.
Microscopic Fluorescence In Situ Hybridization (FISH) Image Synthesis with Generative Adversarial Networks
Microscopic Fluorescence In Situ Hybridization (FISH) Image Synthesis with Generative Adversarial Networks
Dursun, G., & Özkaya, U. (2021, June). Microscopic Fluorescence In Situ Hybridization (FISH) Image Synthesis with Generative Adversarial Networks. In 2021 29th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
Can Artificial Intelligence Help Cervical Cytopathologist to Detect High-Grade Squamous Intraepithelial Lesions on the Atrophic Background?
Can Artificial Intelligence Help Cervical Cytopathologist to Detect High-Grade Squamous Intraepithelial Lesions on the Atrophic Background?
TÜRKMEN, İ., DURSUN, G., ÖZKAYA, U., ÇAPAR, A., MÜEZZİNOĞLU, B., & TÖREYİN, B. U., (2020). Can Artificial Intelligence Help Cervical Cytopathologist to Detect High-Grade Squamous Intraepithelial Lesions on the Atrophic Background? . European Congress on Digital Pathology (ECDP2020), Portugal
Dursun, G., Korenic, A., Bijelic, D., Radenovic, L., Özkaya, U., Çapar, A., ... & Andjus, P. (2019). Development of automated analysis of biomedical signals obtained from calcium imaging. In Joint 12th EBSA European Biophysics Congress/10th IUPAP International Conference on Biological Physics (ICBP). Springer.
Poster Prize: Best Poster in Big Data in Biophysics Session
MSc Thesis
MSc Thesis
Title : İmge Şifreleme için Yeni Bir Yaklaşım: Kayıpsız ve Tersinebilir İmge Dönüştürme Yöntemi (A Novel Approach for Image Encryption: Exact and Reversible Image Transformation Method )
A new and secure digital image scrambling algorithm based on 2D cellular automata
A new and secure digital image scrambling algorithm based on 2D cellular automata
Dursun, G., Özer, F., & Özkaya, U. (2017). A new and secure digital image scrambling algorithm based on 2D cellular automata. Turkish Journal of Electrical Engineering and Computer Sciences, 25(5), 3515-3527.
DOI: 10.3906/elk-1610-225
Parçacık Sürü Optimizasyonu ve Hücresel Otomata Tabanlı Sayısal Görüntü Karıştırma Yöntemi
Parçacık Sürü Optimizasyonu ve Hücresel Otomata Tabanlı Sayısal Görüntü Karıştırma Yöntemi
KAYA, B., ÖZER, F., DURSUN, G., AYDOĞDU, G., & ÖZKAYA, U., (2014). Parçacık Sürü Optimizasyonu ve Hücresel Otomata Tabanlı Sayısal Görüntü Karıştırma Yöntemi . Akıllı Sistemlerde Yenilikler ve Uygulamaları Sempozyumu (ASYU) (pp.182-186). İzmir, Turkey
BSc Thesis
BSc Thesis
Title : Hücresel Otomata Tabanlı Görüntü Şifreleme Algoritması (Cellular Automata Based Image Encryption Algorithm)
Page updated
Google Sites
Report abuse