Cardiac problem diagnosis using SPECT images with statistical neural networks. - Gökhan Bilgin; Oguz Altun (Artificial Intelligence and Soft Computing, 2006)

Unsupervised classification of hyperspectral-image data using fuzzy approaches that spatially exploit membership relations. - Gökhan Bilgin; Sarp Ertürk; Tülay Yildirim (IEEE Geosci. Remote. Sens. Lett., 2008)

Computerized Classification of Intraductal Breast Lesions Using Histopathological Images. - Murat Dundar; Sunil Badve; Gökhan Bilgin; Vikas C. Raykar; Rohit K. Jain; Olcay Sertel; Metin N. Gurcan (IEEE Trans. Biomed. Eng., 2011)

Segmentation of Hyperspectral Images via Subtractive Clustering and Cluster Validation Using One-Class Support Vector Machines. - Gökhan Bilgin; Sarp Ertürk; Tülay Yildirim (IEEE Trans. Geosci. Remote. Sens., 2011)

Segmentation of hyperspectral images using local covariance matrices. - Gökhan Bilgin; Erkan Uslu (SIU, 2012)

Embolic Doppler ultrasound signal detection via fractional Fourier transform. - Merve Gençer; Gokhan Bilgin; Nizamettin Aydin (EMBC, 2013)

A New Framework for Increasing User Engagement in Mobile Applications Using Machine Learning Techniques. - Merve Gençer; Gökhan Bilgin; Özgür Zan; Tansel Voyvodaoglu (HCI (12), 2013)

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 spatial relations in the segmentation of histopathological images. - Gökhan Bilgin (SIU, 2013)

Segmentation of hyperspectral images using local covariance matrices in eigenspace. - Ugur Ergul; Gökhan Bilgin (SIU, 2013)

Arrhythmia classification by Local Fractional Fourier Transform. - Erkan Uslu; Gökhan Bilgin (SIU, 2013)

2D2PCA-based hyperspectral image classification with utilization of spatial information. - Muhammet Said Aydemir; Gokhan Bilgin (WHISPERS, 2013)

Multiscale local covariance based feature extraction for segmantation of hyperspectral images. - Ugur Ergul; Gokhan Bilgin (WHISPERS, 2013)

Detection of Churned and Retained Users with Machine Learning Methods for Mobile Applications. - Merve Gençer; Gökhan Bilgin; Özgür Zan; Tansel Voyvodaoglu (HCI (9), 2014)

Classification of histopathological images using convolutional neural network. - Nuh Hatipoglu; Gökhan Bilgin (IPTA, 2014)

Fusion and classification of synthetic aparture radar and multispectral sattellite data. - Tolga Bakirman; Gökhan Bilgin; Fusun Balik Sanli; Erkan Uslu; Mustafa Ustuner (SIU, 2014)

ECG classification with emprical mode decomposition denoised by wavelet transform. - Omer Faruk Karaaslan; Gökhan Bilgin (SIU, 2014)

Compression of hyperspectral images: A comparative study. - Cevahir Parlak; Gökhan Bilgin (SIU, 2014)

Hyperspectral image segmentation using the Dirichlet mixture models. - Ibrahim Onur Sigirci; Gökhan Bilgin (SIU, 2014)

Comparative analysis of codeword representation by clustering methods for the classification of histological tissue types. - Ahmet Saygili; Gunalp Uysal; Gokhan Bilgin (ICMV, 2015)

Combination of sparse and semi-supervised learning for classification of hyperspectral images. - Muhammet Said Aydemir; Gökhan Bilgin (SIU, 2015)

Multiple instance bagging approach for ensemble learning methods on hyperspectral images. - Ugur Ergul; Gokhan Bilgin (SIU, 2015)

Segmentation of histopathological images with Convolutional Neural Networks using Fourier features. - Nuh Hatipoglu; Gokhan Bilgin (SIU, 2015)

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

Mitosis detection on histopathological images using statistical detection algorithms. - Mustafa Ustuner; Gokhan Bilgin (SIU, 2015)

Kernel Fukunaga-Koontz Transform Subspaces for Classification of Hyperspectral Images With Small Sample Sizes. - Hamidullah Binol; Gökhan Bilgin; Semih Dinç; Abdullah Bal (IEEE Geosci. Remote. Sens. Lett., 2015)

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

Semi-supervised classification of hyperspectral images with small sample sizes. - Muhammet Said Aydemir; Gokhan Bilgin (SIU, 2016)

Multiple Instance bagging based ensemble classification of hyperspectral images. - Ugur Ergul; Gokhan Bilgin (SIU, 2016)

Feature extraction for histopathological images using Convolutional Neural Network. - Nuh Hatipoglu; Gokhan Bilgin (SIU, 2016)

Hyperspectral image classification using spatial features extracted by fuzzy C-Means and Dirichlet Mixture Model. - Ibrahim Onur Sigirci; Gokhan Bilgin (SIU, 2016)

Combining Landsat and ALOS data for land cover mapping. - Saygin Abdikan; Mustafa Ustuner; Fusun Balik Sanli; Gokhan Bilgin (SIU, 2017)

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)

Graph-based semi-supervised learning with GPU on small sample sized hyperspectral images. - Muhammet Said Aydemir; Gokhan Bilgin (SIU, 2017)

Detection of mitotic cells in multispectral histopathological images. - Huseyin Cukur; Gökhan Bilgin (SIU, 2017)

Hyperspectral image classification with hybrid kernel extreme learning machine. - Ugur Ergul; Gökhan Bilgin (SIU, 2017)

Hyperspectral image classification using fuzzy C-means based composite kernel approach. - Ibrahim Onur Sigirci; Gokhan Bilgin (SIU, 2017)

Land use and cover classification of Sentinel-IA SAR imagery: A case study of Istanbul. - Mustafa Ustuner; Fusun Balik Sanli; Gokhan Bilgin; Saygin Abdikan (SIU, 2017)

Semisupervised Hyperspectral Image Classification Using Small Sample Sizes. - Muhammet Said Aydemir; Gökhan Bilgin (IEEE Geosci. Remote. Sens. Lett., 2017)

Cell segmentation in histopathological images with deep learning algorithms by utilizing spatial relationships. - Nuh Hatipoglu; Gokhan Bilgin (Medical Biol. Eng. Comput., 2017)

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

Classification of hyperspectral images with multiple kernel extreme learning machine. - Ugur Ergul; Gokhan Bilgin (SIU, 2018)

Kernel extreme learning machines for PolSAR image classification using spatial features. - Unsal Gokdag; Mustafa Ustuner; Gokhan Bilgin; Fusun Balik Sanli (SIU, 2018)

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

Textural feature extraction and ensemble of extreme learning machines for hyperspectral image classification. - Kadir Guzel; Gokhan Bilgin (SIU, 2018)

Comparing the classification performances of supervised classifiers with balanced and imbalanced SAR data sets. - Mustafa Ustuner; Unsal Gokdag; Gokhan Bilgin; Fusun Balik Sanli (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)

A Booster Analysis of Extreme Gradient Boosting for Crop Classification using PolSAR Imagery. - Mustafa Ustuner; Fusun Balik Sanli; Saygin Abdikan; Gokhan Bilgin; Cigdem Goksel (Agro-Geoinformatics, 2019)

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

Pre-trained Classification of Hyperspectral Images Using Denoising Autoencoders and Joint Features. - Evren Kanalici; Gokhan Bilgin (ICGDA, 2019)

Music Genre Classification via Sequential Wavelet Scattering Feature Learning. - Evren Kanalici; Gokhan Bilgin (KSEM (2), 2019)

Classification of FTIR Spectra of Olive Oil with Features of Variational Mode Decomposition and Wavelet Transform. - Omer Faruk Karaaslan; Gokhan Bilgin (SIU, 2019)

Use of Spatial Information via Markov and Conditional Random Fields in Histopathological Images. - Sara Behjat-Jamal; Gokhan Bilgin (TSP, 2019)

HCKBoost: Hybridized composite kernel boosting with extreme learning machines for hyperspectral image classification. - Ugur Ergul; Gokhan Bilgin (Neurocomputing, 2019)

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

Semisupervised Hyperspectral Image Classification Using Deep Features. - Muhammet Said Aydemir; Gokhan Bilgin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Classification of Breast Cancer Histopathology Images by Cell-Centered Deep Learning Approach. - Emre Egriboz; Berkay Gökcen; Gokhan Bilgin (SIU, 2020)

Feature Extraction with Bidirectional Encoder Representations from Transformers in Hyperspectral Images. - Ibrahim Onur Sigirci; Hakan Ozgur; Gokhan Bilgin (SIU, 2020)

Speaker Diarization using Embedding Vectors. - Mesut Toruk; Gokhan Bilgin; Ahmet Serbes (SIU, 2020)

Semi-supervised sparse representation classifier (S3RC) with deep features on small sample sized hyperspectral images. - Muhammet Said Aydemir; Gokhan Bilgin (Neurocomputing, 2020)

MCK-ELM: multiple composite kernel extreme learning machine for hyperspectral images. - Ugur Ergul; Gokhan Bilgin (Neural Comput. Appl., 2020)

Comparison of Data-Driven and Morphological Features for Cell Segmentation in Histopathological Images. - Omer Faruk Karaaslan; Gokhan Bilgin (SIU, 2021)

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)

SAR image classification post-processing with multiscale complementary Gaussian kernel weighting. - Unsal Gokdag; Gokhan Bilgin (Signal Image Video Process., 2021)

Classification of Tissue Types in Histology Images Using Graph Convolutional Networks. - Esra Tepe; Gokhan Bilgin (ISDFS, 2022)

Classification of Breast Cancer Histopathological Images with Deep Transfer Learning Methods. - Cemal Efe Tezcan; Berk Kiras; Gokhan Bilgin (SIU, 2022)

Spectral-Spatial Classification of Hyperspectral Images Using BERT-Based Methods With HyperSLIC Segment Embeddings. - Ibrahim Onur Sigirci; Gokhan Bilgin (IEEE Access, 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)

Deep Learning Approach to Improve Breast CancerClassification for Screening Mammography. - Fatemah Faraji; Gokhan Bilgin (SIU, 2024)

Classification of Breast Cancer Subtypes Using Deep Learning Methods. - Ergun Izmirlioglu; Ahmet Enes Atas; Gokhan Bilgin (SIU, 2024)

Examining the Effect of Color Spaces on Histopathological Image Segmentation with the SHAP Explainable AI Method. - Omer Faruk Karaaslan; Gokhan Bilgin (SIU, 2024)