Breast cancer mitosis detection in histopathological images with spatial feature extraction. - Abdulkadir Albayrak; Gökhan Bilgin (ICMV, 2013)

Detection of mitotic cells in histopathological images using textural features. - Abdulkadir Albayrak; Gökhan Bilgin (SIU, 2013)

Evaluation of robustness of ensemble learners to noisy data. - Abdulkadir Albayrak; M. Özgür Cingiz; Mehmet Fatih Amasyali (SIU, 2013)

Detection of mitotic cells using completed local binary pattern in histopathological images. - Ibrahim Onur Sigirci; Abdulkadir Albayrak; Gokhan Bilgin (SIU, 2015)

Effects of color spaces to the cell segmentation in histopathological images. - Abdulkadir Albayrak; Gokhan Bilgin (SIU, 2016)

Superpixel approach in high resolution histopathological image segmentation. - Abdulkadir Albayrak; Gokhan Bilgin (SIU, 2017)

Segmentation of precursor lesions in cervical cancer using convolutional neural networks. - Abdulkadir Albayrak; Asli Unlu; Nurullah Çalik; Gokhan Bilgin; Ilknur Türkmen; Asli Çakir; Abdulkerim Çapar; Behcet Ugur Töreyin; Lutfiye Durak-Ata (SIU, 2017)

Superpixel-based segmentation of glottal area from videolaryngoscopy images. - H. Irem Türkmen; Abdulkadir Albayrak; M. Elif Karsligil; Ismail Kocak (J. Electronic Imaging, 2017)

A Hybrid Method of Superpixel Segmentation Algorithm and Deep Learning Method in Histopathological Image Segmentation. - Abdulkadir Albayrak; Gökhan Bilgin (INISTA, 2018)

Classification of tumor regions in histopathological images using convolutional neural networks. - Koray Gunduz; Abdulkadir Albayrak; Gokhan Bilgin; M. Elif Karsligil (SIU, 2018)

A Whole Slide Image Grading Benchmark and Tissue Classification for Cervical Cancer Precursor Lesions with Inter-Observer Variability. - Abdulkadir Albayrak; Asli Unlu; Nurullah Çalik; Abdulkerim Çapar; Gokhan Bilgin; Behcet Ugur Töreyin; Bahar Muezzinoglu; Ilknur Türkmen; Lutfiye Durak-Ata (CoRR, 2018)

Histopatolojik görüntülerin makine öğrenmesi yöntemleri ile analizi (Analysis of histopathological images via machine learning methods) - Abdulkadir Albayrak (2018)

Automatic Nuclei Detection in Histopathological Images based on Convolutional Neural Networks. - Roaa Safi Abed Alah; Gokhan Bilgin; Abdulkadir Albayrak (BIOSIGNALS, 2019)

Metaphase finding with deep convolutional neural networks. - Yaser Moazzen; Abdulkerim Çapar; Abdulkadir Albayrak; Nurullah Çalik; Behcet Ugur Töreyin (Biomed. Signal Process. Control., 2019)

Automatic cell segmentation in histopathological images via two-staged superpixel-based algorithms. - Abdulkadir Albayrak; Gokhan Bilgin (Medical Biol. Eng. Comput., 2019)

A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability. - Abdulkadir Albayrak; Asli Unlu Akhan; Nurullah Çalik; Abdulkerim Çapar; Gokhan Bilgin; Behcet Ugur Töreyin; Bahar Muezzinoglu; Ilknur Türkmen; Lutfiye Durak-Ata (Medical Biol. Eng. Comput., 2021)

Classification of analyzable metaphase images using transfer learning and fine tuning. - Abdulkadir Albayrak (Medical Biol. Eng. Comput., 2022)

Detection of mitotic cells in breast cancer histopathological images using deep versus handcrafted features. - Ibrahim Onur Sigirci; Abdulkadir Albayrak; Gokhan Bilgin (Multim. Tools Appl., 2022)

Classification of Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features. - Nurullah Çalik; Abdulkadir Albayrak; Asli Unlu Akhan; Ilknur Türkmen; Abdulkerim Çapar; Behcet Ugur Töreyin; Gokhan Bilgin; Bahar Muezzinoglu; Lutfiye Durak-Ata (IEEE J. Biomed. Health Informatics, 2023)

Vision Transformers Versus Convolutional Neural Networks: Comparing Robustness by Exploiting Varying Local Features. - Muhammed Cihad Arslanoglu; Abdulkadir Albayrak; Hüseyin Acar (IEEE Access, 2025)