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Abdulkerim Çapar
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2020 – today
- 2023
- [j5]Nurullah Çalik
, Abdulkadir Albayrak
Classification of Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features. IEEE J. Biomed. Health Informatics 27(4): 1747-1757 (2023) - 2022
- [c12]Abdulkerim Çapar, Ramazan Çagaç, Nurcan Komutan:
A Statistical Focusing Metric for Fluorescent Microscopy. SIU 2022: 1-4 - 2021
- [j4]Kaan Aykut Kabakçi, Asli Çakir, Ilknur Türkmen, Behçet Ugur Töreyin
Automated scoring of CerbB2/HER2 receptors using histogram based analysis of immunohistochemistry breast cancer tissue images. Biomed. Signal Process. Control. 69: 102924 (2021) - [j3]Abdulkadir Albayrak, Asli Unlu Akhan, Nurullah Çalik
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) - 2020
- [i2]Abdulkerim Çapar
A multi-spectral myelin annotation tool for machine learning based myelin quantification. F1000Research 9: 1492 (2020)
2010 – 2019
- 2019
- [j2]Yaser Moazzen
Metaphase finding with deep convolutional neural networks. Biomed. Signal Process. Control. 52: 353-361 (2019) - 2018
- [c11]Sibel Cimen
DeepMQ: A Deep Learning Approach Based Myelin Quantification in Microscopic Fluorescence Images. EUSIPCO 2018: 61-65 - [c10]Omer Berk, Abdulkerim Çapar
Salient region detection and sparse representation based super-resolution approach for chromosome images. 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
- [c9]Abdulkadir Albayrak
Segmentation of precursor lesions in cervical cancer using convolutional neural networks. SIU 2017: 1-4 - [c8]Yaser Moazzen
A sub-pixel resolution method for chromosome band profile extraction. SIU 2017: 1-4 - [c7]Gözde Ayse Tataroglu, Anil Genç, Kaan A. Kabakci, Abdulkerim Çapar
A deep learning based approach for classification of CerbB2 tumor cells in breast cancer. SIU 2017: 1-4 - 2016
- [c6]Kaan A. Kabakci, Abdulkerim Çapar
A multi-level thresholding based segmentation method for microscopic fluorescence in situ hybridization (FISH) images. SIU 2016: 849-852 - 2012
- [c5]Shahriar Asta
A boundary based feature extraction method for G-banded chromosome classification. SIU 2012: 1-4 - 2010
- [b1]Abdulkerim Çapar:
Object segmentation and recognition using gradient based descriptors and shape driven fast marching methods (Gradyan temelli betimleyiciler ve şekil güdümlü hızlı yürüme tekniğiyle nesne bölütleme ve sınıflandırma). İstanbul Technical University, Turkey, 2010
2000 – 2009
- 2009
- [j1]Abdulkerim Çapar
Gradient-based shape descriptors. Mach. Vis. Appl. 20(6): 365-378 (2009) - [c4]Abdulkerim Çapar
Shape Recognition by Voting on Fast Marching Iterations. ACIVS 2009: 379-388 - 2006
- [c3]Abdulkerim Çapar
Concurrent Segmentation and Recognition with Shape-Driven Fast Marching Methods. ICPR (1) 2006: 155-158 - [c2]Abdulkerim Çapar
Affine Invariant Gradient Based Shape Descriptor. MRCS 2006: 514-521 - 2003
- [c1]Abdulkerim Çapar
A Turkish Handprint Character Recognition System. ISCIS 2003: 447-456
Coauthor Index
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