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ORCIDAbdulkadir Albayrak
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2020 – today
- 2023
[j7]Nurullah Çalik
, Abdulkadir Albayrak, Asli Unlu Akhan, Ilknur Türkmen, Abdulkerim Çapar, Behcet Ugur Töreyin, Gokhan Bilgin, Bahar Muezzinoglu, Lutfiye Durak-Ata:
Classification of Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features. IEEE J. Biomed. Health Informatics 27(4): 1747-1757 (2023)- 2022
- [j6]Abdulkadir Albayrak:
Classification of analyzable metaphase images using transfer learning and fine tuning. Medical Biol. Eng. Comput. 60(1): 239-248 (2022) - [j5]Ibrahim Onur Sigirci, Abdulkadir Albayrak, Gokhan Bilgin:
Detection of mitotic cells in breast cancer histopathological images using deep versus handcrafted features. Multim. Tools Appl. 81(10): 13179-13202 (2022) - 2021
- [j4]Abdulkadir Albayrak, Asli Unlu Akhan, Nurullah Çalik, Abdulkerim Çapar, Gokhan Bilgin, Behcet Ugur Töreyin, Bahar Muezzinoglu, Ilknur Türkmen, Lutfiye Durak-Ata:
A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability. Medical Biol. Eng. Comput. 59(7): 1545-1561 (2021)
2010 – 2019
- 2019
- [j3]Yaser Moazzen, Abdulkerim Çapar, Abdulkadir Albayrak, Nurullah Çalik, Behcet Ugur Töreyin:
Metaphase finding with deep convolutional neural networks. Biomed. Signal Process. Control. 52: 353-361 (2019) - [j2]Abdulkadir Albayrak, Gokhan Bilgin:
Automatic cell segmentation in histopathological images via two-staged superpixel-based algorithms. Medical Biol. Eng. Comput. 57(3): 653-665 (2019) - [c10]Roaa Safi Abed Alah, Gokhan Bilgin, Abdulkadir Albayrak:
Automatic Nuclei Detection in Histopathological Images based on Convolutional Neural Networks. BIOSIGNALS 2019: 193-200 - 2018
- [b1]Abdulkadir Albayrak:
Histopatolojik görüntülerin makine öğrenmesi yöntemleri ile analizi (Analysis of histopathological images via machine learning methods). Yıldız Technical University, Turkey, 2018 - [c9]Abdulkadir Albayrak, Gökhan Bilgin:
A Hybrid Method of Superpixel Segmentation Algorithm and Deep Learning Method in Histopathological Image Segmentation. INISTA 2018: 1-5 - [c8]Koray Gunduz, Abdulkadir Albayrak, Gokhan Bilgin, M. Elif Karsligil:
Classification of tumor regions in histopathological images using convolutional neural networks. SIU 2018: 1-4 - [i1]Abdulkadir Albayrak, Asli Unlu, Nurullah Çalik, Abdulkerim Çapar, Gokhan Bilgin, Behcet Ugur Töreyin, Bahar Muezzinoglu, Ilknur Türkmen, Lutfiye Durak-Ata:
A Whole Slide Image Grading Benchmark and Tissue Classification for Cervical Cancer Precursor Lesions with Inter-Observer Variability. CoRR abs/1812.10256 (2018) - 2017
- [j1]H. Irem Türkmen, Abdulkadir Albayrak, M. Elif Karsligil, Ismail Kocak:
Superpixel-based segmentation of glottal area from videolaryngoscopy images. J. Electronic Imaging 26(6): 61608 (2017) - [c7]Abdulkadir Albayrak, Gokhan Bilgin:
Superpixel approach in high resolution histopathological image segmentation. SIU 2017: 1-4 - [c6]Abdulkadir Albayrak, Asli Unlu, Nurullah Çalik, Gokhan Bilgin, Ilknur Türkmen, Asli Çakir, Abdulkerim Çapar, Behcet Ugur Töreyin, Lutfiye Durak-Ata:
Segmentation of precursor lesions in cervical cancer using convolutional neural networks. SIU 2017: 1-4 - 2016
- [c5]Abdulkadir Albayrak, Gokhan Bilgin:
Effects of color spaces to the cell segmentation in histopathological images. SIU 2016: 829-832 - 2015
- [c4]Ibrahim Onur Sigirci, Abdulkadir Albayrak, Gokhan Bilgin:
Detection of mitotic cells using completed local binary pattern in histopathological images. SIU 2015: 1078-1081 - 2013
- [c3]Abdulkadir Albayrak, Gökhan Bilgin:
Breast cancer mitosis detection in histopathological images with spatial feature extraction. ICMV 2013: 90670L - [c2]Abdulkadir Albayrak, Gökhan Bilgin:
Detection of mitotic cells in histopathological images using textural features. SIU 2013: 1-4 - [c1]Abdulkadir Albayrak, M. Özgür Cingiz, Mehmet Fatih Amasyali:
Evaluation of robustness of ensemble learners to noisy data. SIU 2013: 1-4
Coauthor Index
aka: Gokhan Bilgin
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