ECG beat classification by a novel hybrid neural network. - Zümray Dokur; Tamer Ölmez (Comput. Methods Programs Biomed., 2001)

Segmentation of Ultrasound Images by Using Quantizer Neural Network. - Zümray Dokur; Mehmet Nadir Kurnaz; Tamer Ölmez (CBMS, 2002)

Recursive Form of the Discrete Fourier Transform for Two-Dimensional Signals. - Zümray Dokur; Tamer Ölmez (IDEAL, 2002)

Segmentation of MR and CT Images Using a Hybrid Neural Network Trained by Genetic Algorithms. - Zümray Dokur (Neural Process. Lett., 2002)

Segmentation of ultrasound images by using a hybrid neural network. - Zümray Dokur; Tamer Ölmez (Pattern Recognit. Lett., 2002)

Classification of Respiratory Sounds by Using an Artificial Neural Network . - Zümray Dokur; Tamer Ölmez (Int. J. Pattern Recognit. Artif. Intell., 2003)

Segmentation of MR and CT Images by Using a Quantiser Neural Network. - Zümray Dokur; Tamer Ölmez (Neural Comput. Appl., 2003)

Application of InP Neural Network to ECG BeatClassification. - Tamer Ölmez; Zümray Dokur (Neural Comput. Appl., 2003)

Classification of heart sounds using an artificial neural network. - Tamer Ölmez; Zümray Dokur (Pattern Recognit. Lett., 2003)

Segmentation of remote-sensing images by incremental neural network. - Mehmet Nadir Kurnaz; Zümray Dokur; Tamer Ölmez (Pattern Recognit. Lett., 2005)

Compression of Medical Images by Using Artificial Neural Networks. - Zümray Dokur (ICIC (1), 2006)

Segmentation of Medical Images by Using Wavelet Transform and Incremental Self-Organizing Map. - Zümray Dokur; Zafer Iscan; Tamer Ölmez (MICAI, 2006)

An incremental neural network for tissue segmentation in ultrasound images. - Mehmet Nadir Kurnaz; Zümray Dokur; Tamer Ölmez (Comput. Methods Programs Biomed., 2007)

Heart sound classification using wavelet transform and incremental self-organizing map. - Zümray Dokur; Tamer Ölmez (Digit. Signal Process., 2008)

A unified framework for image compression and segmentation by using an incremental neural network. - Zümray Dokur (Expert Syst. Appl., 2008)

Tissue segmentation in ultrasound images by using genetic algorithms. - Zümray Dokur; Tamer Ölmez (Expert Syst. Appl., 2008)

Feature determination for heart sounds based on divergence analysis. - Zümray Dokur; Tamer Ölmez (Digit. Signal Process., 2009)

Medical image segmentation with transform and moment based features and incremental supervised neural network. - Zafer Iscan; Ayhan Yüksel; Zümray Dokur; Mehmet Korürek; Tamer Ölmez (Digit. Signal Process., 2009)

Respiratory sound classification by using an incremental supervised neural network. - Zümray Dokur (Pattern Anal. Appl., 2009)

Dimension reduction by a novel unified scheme using divergence analysis and genetic search. - Mehmet Korürek; Ayhan Yüksel; Zümray Dokur; Tamer Ölmez (Digit. Signal Process., 2010)

Tumor detection by using Zernike moments on segmented magnetic resonance brain images. - Zafer Iscan; Zümray Dokur; Tamer Ölmez (Expert Syst. Appl., 2010)

Retrospective correction of near field effect of X-ray source in radiographic images by using genetic algorithms. - Mehmet Korürek; Ayhan Yüksel; Zafer Iscan; Zümray Dokur; Tamer Ölmez (Expert Syst. Appl., 2010)

Classification of EEG in A Steady State Visual Evoked Potential Based Brain Computer Interface Experiment. - Zafer Iscan; Özen Özkaya; Zümray Dokur (ICANNGA (2), 2011)

Improved T-Weight method in classification of slow cortical potentials. - Zafer Iscan; Zümray Dokur (ISABEL, 2011)

Classification of electroencephalogram signals with combined time and frequency features. - Zafer Iscan; Zümray Dokur; Tamer Demiralp (Expert Syst. Appl., 2011)

Protein Fold Classification using Kohonen's Self-Organizing Map. - Ozlem Ozbudak; Zümray Dokur (IWBBIO, 2014)

A novel steady-state visually evoked potential-based brain-computer interface design: Character Plotter. - Zafer Iscan; Zümray Dokur (Biomed. Signal Process. Control., 2014)

Protein fold classification with Grow-and-Learn network. - Özlem Polat; Zümray Dokur (Turkish J. Electr. Eng. Comput. Sci., 2017)

Comparative analysis of MABC with KNN, SOM, and ACO algorithms for ECG heartbeat classification. - Selim Dilmaç; Zümray Dokur; Tamer Ölmez (Turkish J. Electr. Eng. Comput. Sci., 2018)

Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning. - Kaleem Nawaz Khan; Faiq Ahmad Khan; Anam Abid; Tamer Ölmez; Zümray Dokur; Amith Khandakar; Muhammad Enamul Hoque Chowdhury; Muhammad Salman Khan 001 (CoRR, 2020)

Detection of BGA solder defects from X-ray images using deep neural network. - Ceren Türer Akdeniz; Zümray Dokur; Tamer Ölmez (Turkish J. Electr. Eng. Comput. Sci., 2020)

Heartbeat classification by using a convolutional neural network trained with Walsh functions. - Zümray Dokur; Tamer Ölmez (Neural Comput. Appl., 2020)

Classification of motor imagery electroencephalogram signals by using a divergence based convolutional neural network. - Zümray Dokur; Tamer Ölmez (Appl. Soft Comput., 2021)

Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural Network. - Zümray Dokur; Tamer Ölmez (CoRR, 2021)

Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix. - Tamer Ölmez; Zümray Dokur (CoRR, 2021)

Generating Ten BCI Commands Using Four Simple Motor Imageries. - Nuri Korkan; Tamer Ölmez; Zümray Dokur (CoRR, 2021)

Neurological effects of long-term diet on obese and overweight individuals: An electroencephalogram and event-related potential study. - Muhammad Ammar Ali; Süreyya Özögür-Akyüz; Adil Deniz Duru; Melisa Caliskan; Ceylan Demir; Tugba Bostanci; Farouk Elsallak; Mohammad Shkokani; Zümray Dokur; Tamer Ölmez; Can Ergün; Nerses Bebek; et al. (Comput. Intell., 2022)

Classification of Hyperspectral Images by Using Spectral Data and Fully Connected Neural Network. - Zümray Dokur; Tamer Ölmez (CoRR, 2022)

Brain tumor classification by using a novel convolutional neural network structure. - Özlem Polat; Zümray Dokur; Tamer Ölmez (Int. J. Imaging Syst. Technol., 2022)

Generating ten BCI commands using four simple motor imageries and classification by divergence-based DNN. - Nuri Korhan; Tamer Ölmez; Zümray Dokur (Neural Comput. Appl., 2023)

Impact of Noise Elimination Methods on Classification Performance in Motor Imagery EEG. - Ali Özkahraman; Tamer Ölmez; Zümray Dokur (NiDS, 2024)

Classification of brain strokes using divergence-based convolutional neural networks. - Özlem Polat; Zümray Dokur; Tamer Ölmez (Biomed. Signal Process. Control., 2024)