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2020 – today
- 2024
[c57]Fatemah Faraji, Gokhan Bilgin:
Deep Learning Approach to Improve Breast CancerClassification for Screening Mammography. SIU 2024: 1-4- [c56]Ergun Izmirlioglu, Ahmet Enes Atas, Gokhan Bilgin:
Classification of Breast Cancer Subtypes Using Deep Learning Methods. SIU 2024: 1-4 - [c55]Omer Faruk Karaaslan
, Gokhan Bilgin:
Examining the Effect of Color Spaces on Histopathological Image Segmentation with the SHAP Explainable AI Method. SIU 2024: 1-4 - 2023
- [j16]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
- [j15]Ibrahim Onur Sigirci, Gokhan Bilgin:
Spectral-Spatial Classification of Hyperspectral Images Using BERT-Based Methods With HyperSLIC Segment Embeddings. IEEE Access 10: 79152-79164 (2022) - [j14]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) - [c54]Esra Tepe, Gokhan Bilgin:
Classification of Tissue Types in Histology Images Using Graph Convolutional Networks. ISDFS 2022: 1-3 - [c53]Cemal Efe Tezcan, Berk Kiras, Gokhan Bilgin:
Classification of Breast Cancer Histopathological Images with Deep Transfer Learning Methods. SIU 2022: 1-4 - 2021
- [j13]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) - [j12]Unsal Gokdag, Gokhan Bilgin:
SAR image classification post-processing with multiscale complementary Gaussian kernel weighting. Signal Image Video Process. 15(7): 1425-1433 (2021) - [c52]Omer Faruk Karaaslan, Gokhan Bilgin:
Comparison of Data-Driven and Morphological Features for Cell Segmentation in Histopathological Images. SIU 2021: 1-4 - 2020
- [j11]Muhammet Said Aydemir, Gokhan Bilgin:
Semi-supervised sparse representation classifier (S3RC) with deep features on small sample sized hyperspectral images. Neurocomputing 399: 213-226 (2020) - [j10]Ugur Ergul, Gokhan Bilgin:
MCK-ELM: multiple composite kernel extreme learning machine for hyperspectral images. Neural Comput. Appl. 32(11): 6809-6819 (2020) - [c51]Emre Egriboz, Berkay Gökcen, Gokhan Bilgin:
Classification of Breast Cancer Histopathology Images by Cell-Centered Deep Learning Approach. SIU 2020: 1-4 - [c50]Ibrahim Onur Sigirci, Hakan Ozgur, Gokhan Bilgin:
Feature Extraction with Bidirectional Encoder Representations from Transformers in Hyperspectral Images. SIU 2020: 1-4 - [c49]Mesut Toruk, Gokhan Bilgin, Ahmet Serbes:
Speaker Diarization using Embedding Vectors. SIU 2020: 1-4
2010 – 2019
- 2019
- [j9]Ugur Ergul, Gokhan Bilgin:
HCKBoost: Hybridized composite kernel boosting with extreme learning machines for hyperspectral image classification. Neurocomputing 334: 100-113 (2019) - [j8]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) - [j7]Muhammet Said Aydemir, Gokhan Bilgin:
Semisupervised Hyperspectral Image Classification Using Deep Features. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(9): 3615-3622 (2019) - [c48]Mustafa Ustuner, Fusun Balik Sanli, Saygin Abdikan, Gokhan Bilgin, Cigdem Goksel:
A Booster Analysis of Extreme Gradient Boosting for Crop Classification using PolSAR Imagery. Agro-Geoinformatics 2019: 1-4 - [c47]Roaa Safi Abed Alah, Gokhan Bilgin, Abdulkadir Albayrak:
Automatic Nuclei Detection in Histopathological Images based on Convolutional Neural Networks. BIOSIGNALS 2019: 193-200 - [c46]Evren Kanalici, Gokhan Bilgin:
Pre-trained Classification of Hyperspectral Images Using Denoising Autoencoders and Joint Features. ICGDA 2019: 66-70 - [c45]Evren Kanalici, Gokhan Bilgin:
Music Genre Classification via Sequential Wavelet Scattering Feature Learning. KSEM (2) 2019: 365-372 - [c44]Omer Faruk Karaaslan, Gokhan Bilgin:
Classification of FTIR Spectra of Olive Oil with Features of Variational Mode Decomposition and Wavelet Transform. SIU 2019: 1-4 - [c43]Sara Behjat-Jamal, Gokhan Bilgin:
Use of Spatial Information via Markov and Conditional Random Fields in Histopathological Images. TSP 2019: 71-75 - 2018
- [c42]Abdulkadir Albayrak, Gökhan Bilgin:
A Hybrid Method of Superpixel Segmentation Algorithm and Deep Learning Method in Histopathological Image Segmentation. INISTA 2018: 1-5 - [c41]Ugur Ergul, Gokhan Bilgin:
Classification of hyperspectral images with multiple kernel extreme learning machine. SIU 2018: 1-4 - [c40]Unsal Gokdag, Mustafa Ustuner, Gokhan Bilgin, Fusun Balik Sanli:
Kernel extreme learning machines for PolSAR image classification using spatial features. SIU 2018: 1-4 - [c39]Koray Gunduz, Abdulkadir Albayrak, Gokhan Bilgin, M. Elif Karsligil:
Classification of tumor regions in histopathological images using convolutional neural networks. SIU 2018: 1-4 - [c38]Kadir Guzel, Gokhan Bilgin:
Textural feature extraction and ensemble of extreme learning machines for hyperspectral image classification. SIU 2018: 1-4 - [c37]Mustafa Ustuner, Unsal Gokdag, Gokhan Bilgin, Fusun Balik Sanli:
Comparing the classification performances of supervised classifiers with balanced and imbalanced SAR data sets. 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
- [j6]Muhammet Said Aydemir, Gökhan Bilgin:
Semisupervised Hyperspectral Image Classification Using Small Sample Sizes. IEEE Geosci. Remote. Sens. Lett. 14(5): 621-625 (2017) - [j5]Nuh Hatipoglu, Gokhan Bilgin:
Cell segmentation in histopathological images with deep learning algorithms by utilizing spatial relationships. Medical Biol. Eng. Comput. 55(10): 1829-1848 (2017) - [c36]Saygin Abdikan, Mustafa Ustuner, Fusun Balik Sanli, Gokhan Bilgin:
Combining Landsat and ALOS data for land cover mapping. SIU 2017: 1-4 - [c35]Abdulkadir Albayrak, Gokhan Bilgin:
Superpixel approach in high resolution histopathological image segmentation. SIU 2017: 1-4 - [c34]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 - [c33]Muhammet Said Aydemir, Gokhan Bilgin:
Graph-based semi-supervised learning with GPU on small sample sized hyperspectral images. SIU 2017: 1-4 - [c32]Huseyin Cukur, Gökhan Bilgin:
Detection of mitotic cells in multispectral histopathological images. SIU 2017: 1-4 - [c31]Ugur Ergul, Gökhan Bilgin:
Hyperspectral image classification with hybrid kernel extreme learning machine. SIU 2017: 1-4 - [c30]Ibrahim Onur Sigirci, Gokhan Bilgin:
Hyperspectral image classification using fuzzy C-means based composite kernel approach. SIU 2017: 1-4 - [c29]Mustafa Ustuner, Fusun Balik Sanli, Gokhan Bilgin, Saygin Abdikan:
Land use and cover classification of Sentinel-IA SAR imagery: A case study of Istanbul. SIU 2017: 1-4 - 2016
- [c28]Nuh Hatipoglu, Gokhan Bilgin:
Feature extraction for histopathological images using Convolutional Neural Network. SIU 2016: 645-648 - [c27]Muhammet Said Aydemir, Gokhan Bilgin:
Semi-supervised classification of hyperspectral images with small sample sizes. SIU 2016: 681-684 - [c26]Ugur Ergul, Gokhan Bilgin:
Multiple Instance bagging based ensemble classification of hyperspectral images. SIU 2016: 757-760 - [c25]Abdulkadir Albayrak, Gokhan Bilgin:
Effects of color spaces to the cell segmentation in histopathological images. SIU 2016: 829-832 - [c24]Ibrahim Onur Sigirci, Gokhan Bilgin:
Hyperspectral image classification using spatial features extracted by fuzzy C-Means and Dirichlet Mixture Model. SIU 2016: 897-900 - 2015
- [j4]Hamidullah Binol, Gökhan Bilgin, Semih Dinç, Abdullah Bal:
Kernel Fukunaga-Koontz Transform Subspaces for Classification of Hyperspectral Images With Small Sample Sizes. IEEE Geosci. Remote. Sens. Lett. 12(6): 1287-1291 (2015) - [c23]Ahmet Saygili, Gunalp Uysal, Gokhan Bilgin:
Comparative analysis of codeword representation by clustering methods for the classification of histological tissue types. ICMV 2015: 98750U - [c22]Ugur Ergul, Gokhan Bilgin:
Multiple instance bagging approach for ensemble learning methods on hyperspectral images. SIU 2015: 403-406 - [c21]Nuh Hatipoglu, Gokhan Bilgin:
Segmentation of histopathological images with Convolutional Neural Networks using Fourier features. SIU 2015: 455-458 - [c20]Mustafa Ustuner, Gokhan Bilgin:
Mitosis detection on histopathological images using statistical detection algorithms. SIU 2015: 540-543 - [c19]Muhammet Said Aydemir, Gökhan Bilgin:
Combination of sparse and semi-supervised learning for classification of hyperspectral images. SIU 2015: 592-595 - [c18]Ibrahim Onur Sigirci, Abdulkadir Albayrak, Gokhan Bilgin:
Detection of mitotic cells using completed local binary pattern in histopathological images. SIU 2015: 1078-1081 - 2014
- [c17]Merve Gençer, Gökhan Bilgin, Özgür Zan, Tansel Voyvodaoglu:
Detection of Churned and Retained Users with Machine Learning Methods for Mobile Applications. HCI (9) 2014: 234-245 - [c16]Nuh Hatipoglu, Gökhan Bilgin:
Classification of histopathological images using convolutional neural network. IPTA 2014: 295-300 - [c15]Cevahir Parlak, Gökhan Bilgin:
Compression of hyperspectral images: A comparative study. SIU 2014: 200-203 - [c14]Omer Faruk Karaaslan, Gökhan Bilgin:
ECG classification with emprical mode decomposition denoised by wavelet transform. SIU 2014: 694-697 - [c13]Tolga Bakirman, Gökhan Bilgin, Fusun Balik Sanli, Erkan Uslu, Mustafa Ustuner:
Fusion and classification of synthetic aparture radar and multispectral sattellite data. SIU 2014: 754-757 - [c12]Ibrahim Onur Sigirci, Gökhan Bilgin:
Hyperspectral image segmentation using the Dirichlet mixture models. SIU 2014: 983-986 - 2013
- [c11]Merve Gençer, Gokhan Bilgin, Nizamettin Aydin:
Embolic Doppler ultrasound signal detection via fractional Fourier transform. EMBC 2013: 3050-3053 - [c10]Merve Gençer, Gökhan Bilgin, Özgür Zan, Tansel Voyvodaoglu:
A New Framework for Increasing User Engagement in Mobile Applications Using Machine Learning Techniques. HCI (12) 2013: 651-659 - [c9]Abdulkadir Albayrak, Gökhan Bilgin:
Breast cancer mitosis detection in histopathological images with spatial feature extraction. ICMV 2013: 90670L - [c8]Abdulkadir Albayrak, Gökhan Bilgin:
Detection of mitotic cells in histopathological images using textural features. SIU 2013: 1-4 - [c7]Gökhan Bilgin:
Evaluation of spatial relations in the segmentation of histopathological images. SIU 2013: 1-4 - [c6]Ugur Ergul, Gökhan Bilgin:
Segmentation of hyperspectral images using local covariance matrices in eigenspace. SIU 2013: 1-4 - [c5]Erkan Uslu, Gökhan Bilgin:
Arrhythmia classification by Local Fractional Fourier Transform. SIU 2013: 1-4 - [c4]Muhammet Said Aydemir, Gokhan Bilgin:
2D2PCA-based hyperspectral image classification with utilization of spatial information. WHISPERS 2013: 1-4 - [c3]Ugur Ergul, Gokhan Bilgin:
Multiscale local covariance based feature extraction for segmantation of hyperspectral images. WHISPERS 2013: 1-4 - 2012
- [c2]Gökhan Bilgin, Erkan Uslu:
Segmentation of hyperspectral images using local covariance matrices. SIU 2012: 1-4 - 2011
- [j3]Murat Dundar, Sunil Badve, Gökhan Bilgin, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan:
Computerized Classification of Intraductal Breast Lesions Using Histopathological Images. IEEE Trans. Biomed. Eng. 58(7): 1977-1984 (2011) - [j2]Gökhan Bilgin, Sarp Ertürk, Tülay Yildirim:
Segmentation of Hyperspectral Images via Subtractive Clustering and Cluster Validation Using One-Class Support Vector Machines. IEEE Trans. Geosci. Remote. Sens. 49(8): 2936-2944 (2011)
2000 – 2009
- 2008
- [j1]Gökhan Bilgin, Sarp Ertürk, Tülay Yildirim:
Unsupervised classification of hyperspectral-image data using fuzzy approaches that spatially exploit membership relations. IEEE Geosci. Remote. Sens. Lett. 5(4): 673-677 (2008) - 2006
- [c1]Gökhan Bilgin, Oguz Altun:
Cardiac problem diagnosis using SPECT images with statistical neural networks. Artificial Intelligence and Soft Computing 2006: 110-113
Coauthor Index
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