Abdulkerim Çapar
Abdulkerim Çapar
İstanbul Teknik Üniversitesi, Bilişim Enstitüsü
Verified email at itu.edu.tr - Homepage
Title
Cited by
Cited by
Year
Concurrent segmentation and recognition with shape-driven fast marching methods
A Capar, M Gokmen
18th International Conference on Pattern Recognition (ICPR'06) 1, 155-158, 2006
502006
Comparison of SVM and ANN performance for handwritten character classification
F Kahraman, A Capar, A Ayvaci, H Demirel, M Gokmen
Proceedings of the IEEE 12th Signal Processing and Communications …, 2004
182004
Gradient-based shape descriptors
A Çapar, B Kurt, M Gökmen
Machine Vision and Applications 20 (6), 365-378, 2009
142009
Segmentation of precursor lesions in cervical cancer using convolutional neural networks
A Albayrak, A Ünlü, N Çalık, G Bilgin, İ Türkmen, A Çakır, A Çapar, ...
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
112017
Affine invariant gradient based shape descriptor
A Çapar, B Kurt, M Gökmen
International Workshop on Multimedia Content Representation, Classification …, 2006
72006
A Turkish handprint character recognition system
A Çapar, K Taşdemir, Ö Kıłıc, M Gökmen
International Symposium on Computer and Information Sciences, 447-456, 2003
72003
Metaphase finding with deep convolutional neural networks
TBU Moazzen Y., Capar A., Albayrak A., Calik N
Biomedical Signal Processingand Control 52, 353-361, 2019
62019
A Whole Slide Image Grading Benchmark and Tissue Classification for Cervical Cancer Precursor Lesions with Inter-Observer Variability
A Albayrak, A Unlu, N Calik, A Capar, G Bilgin, BU Toreyin, ...
arXiv preprint arXiv:1812.10256, 2018
52018
İTÜ Araç Plaka Tanıma Sistemi
A Çapar, MS Beratoğlu, K Taşdemir, Ö Kılıç, M Gökmen
IEEE 11. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, 371-374, 2003
52003
Myelin detection in fluorescence microscopy images using machine learning
SÇ Yetiş, A Çapar, DA Ekinci, UE Ayten, BE Kerman, BU Töreyin
Journal of Neuroscience Methods 346, 108946, 2020
42020
A deep learning based approach for classification of CerbB2 tumor cells in breast cancer
GA Tataroğlu, A Genç, KA Kabakçı, A Çapar, BU Töreyin, HK Ekenel, ...
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
42017
DeepMQ: A deep learning approach based myelin quantification in microscopic fluorescence images
S Çimen, A Çapar, DA Ekinci, UE Ayten, BE Kerman, BU Töreyin
2018 26th European Signal Processing Conference (EUSIPCO), 61-65, 2018
32018
A sub-pixel resolution method for chromosome band profile extraction
Y Moazzen, A Çapar, BU Töreyin
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
32017
Gradyan temelli şekil bölütleme ve tanıma
A Çapar, M Gökmen
İTÜDERGİSİ/d 10 (3), 2011
32011
Salient region detection and sparse representation based super-resolution approach for chromosome images
Ö Berk, A Çapar, BU Töreyın
2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018
22018
Segmentation and Recognition System with Shape-Driven Fast Marching Methods
A Capar, M Gokmen
2006 IEEE 14th Signal Processing and Communications Applications, 2006
22006
Myelin segmentation in fluorescence microscopy images
SÇ Yetiş, DA Ekinci, E Çakir, EM Ekşioğlu, UE Ayten, A Çapar, ...
2019 Medical Technologies Congress (TIPTEKNO), 1-4, 2019
12019
A multi-level thresholding based segmentation method for microscopic fluorescence in situ hybridization (FISH) images
KA Kabakçı, A Çapar, BU Töreyin, M Akkoç, O Borazan, İ Türkmen, LD Ata
2016 24th Signal Processing and Communication Application Conference (SIU …, 2016
12016
Mikroskobik floresan in situ hibridizasyon (FISH) görüntülerde çoklu seviye eşikleme tabanlı bölütleme yöntemi
K Kabakçı, A Çapar, BU Töreyin, M Akkoç, O Borazan, İ Türkmen, ...
Institute of Engineers and Everyone Else, 2016
12016
A boundary based feature extraction method for G-banded chromosome classification
S Asta, MS Beratoğlu, A Capar
2012 20th Signal Processing and Communications Applications Conference (SIU …, 2012
12012
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Articles 1–20