Zümray Dokur

发表

Classification of heart sounds using an artificial neural network

Tamer Ölmez, Zümray Dokur, T. Ölmez, 2003, Pattern Recognit. Lett..

Classification of EEG in A Steady State Visual Evoked Potential Based Brain Computer Interface Experiment

Zümray Dokur, Zafer Iscan, Özen Özkaya, 2011, ICANNGA.

A unified framework for image compression and segmentation by using an incremental neural network

Zümray Dokur, Z. Dokur, 2008, Expert Syst. Appl..

Fuzzy Local Information C-Means Algorithm for Histopathological Image Segmentation

Zümray Dokur, Mustafa Çetin, Tamer Ölmez, 2019, 2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT).

Improved T-Weight method in classification of slow cortical potentials

Zümray Dokur, Zafer Iscan, 2011, ISABEL '11.

Heartbeat classification by using a convolutional neural network trained with Walsh functions

Tamer Ölmez, Zümray Dokur, T. Ölmez, 2020, Neural Computing and Applications.

Segmentation of MR and CT Images Using a Hybrid Neural Network Trained by Genetic Algorithms

Zümray Dokur, 2004, Neural Processing Letters.

Classification of electroencephalogram signals with combined time and frequency features

Tamer Demiralp, Zümray Dokur, Zafer Iscan, 2011, Expert Syst. Appl..

An incremental neural network for tissue segmentation in ultrasound images

Tamer Ölmez, Zümray Dokur, Mehmet Nadir Kurnaz, 2007, Comput. Methods Programs Biomed..

Compression of Medical Images by Using Artificial Neural Networks

Zümray Dokur, 2006, ICIC.

Recursive Form of the Discrete Fourier Transform for Two-Dimensional Signals

Tamer Ölmez, Zümray Dokur, 2002, IDEAL.

Segmentation of MR and CT Images by Using a Quantiser Neural Network

Tamer Ölmez, Zümray Dokur, T. Ölmez, 2003, Neural Computing & Applications.

Tissue segmentation in ultrasound images by using genetic algorithms

Tamer Ölmez, Zümray Dokur, T. Ölmez, 2008, Expert Syst. Appl..

Comparative analysis of MABC with KNN, SOM, and ACO algorithms for ECG heartbeat classification

Tamer Ölmez, Zümray Dokur, Selim Dilmac, 2018, Turkish J. Electr. Eng. Comput. Sci..

ECG beat classification by a novel hybrid neural network

Tamer Ölmez, Zümray Dokur, T. Ölmez, 2001, Comput. Methods Programs Biomed..

Retrospective correction of near field effect of X-ray source in radiographic images by using genetic algorithms

Tamer Ölmez, Zümray Dokur, Zafer Iscan, 2010, Expert Syst. Appl..

Segmentation of remote-sensing images by incremental neural network

Tamer Ölmez, Zümray Dokur, Mehmet Nadir Kurnaz, 2005, Pattern Recognit. Lett..

Respiratory sound classification by using an incremental supervised neural network

Zümray Dokur, Z. Dokur, 2009, Pattern Analysis and Applications.

Classification of Respiratory Sounds by Using an Artificial Neural Network

Tamer Ölmez, Zümray Dokur, 2003, Int. J. Pattern Recognit. Artif. Intell..

Yapay Sinir Ağları Ve Genetik Algoritmalar Kullanılarak Ekg Vurularının Sınıflandırılması

Zümray Dokur, 2000 .

Feature determination for heart sounds based on divergence analysis

Tamer Ölmez, Zümray Dokur, T. Ölmez, 2009, Digit. Signal Process..

Improved incremental self-organizing map for the segmentation of ultrasound images

Tamer Ölmez, Zümray Dokur, Zafer Iscan, 2007 .

Protein fold classification with Grow-and-Learn network

Zümray Dokur, Özlem Polat, 2017 .

Segmentation of ultrasound images by using a hybrid neural network

Tamer Ölmez, Zümray Dokur, T. Ölmez, 2002, Pattern Recognit. Lett..

Segmentation of ultrasound images by using quantizer neural network

Tamer Ölmez, Zümray Dokur, Mehmet Nadir Kurnaz, 2002, Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002).

Application of InP Neural Network to ECG BeatClassification

Tamer Ölmez, Zümray Dokur, 2003, Neural Computing & Applications.

Medical image segmentation with transform and moment based features and incremental supervised neural network

Tamer Ölmez, Zümray Dokur, Zafer Iscan, 2009, Digit. Signal Process..

Protein Fold Classification using Kohonen's Self-Organizing Map

Zümray Dokur, Ozlem Ozbudak, 2014, IWBBIO.

Dimension reduction by a novel unified scheme using divergence analysis and genetic search

Tamer Ölmez, Zümray Dokur, Mehmet Korürek, 2010, Digit. Signal Process..

Tumor detection by using Zernike moments on segmented magnetic resonance brain images

Tamer Ölmez, Zümray Dokur, Zafer Iscan, 2010, Expert Syst. Appl..

Segmentation of Medical Images by Using Wavelet Transform and Incremental Self-Organizing Map

Tamer Ölmez, Zümray Dokur, Zafer Iscan, 2006, MICAI.

Heart sound classification using wavelet transform and incremental self-organizing map

Tamer Ölmez, Zümray Dokur, T. Ölmez, 2008, Digit. Signal Process..

A novel steady-state visually evoked potential-based brain-computer interface design: Character Plotter

Zümray Dokur, Zafer Iscan, Z. Dokur, 2014, Biomed. Signal Process. Control..

Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix pdf

Tamer Ölmez, Zümray Dokur, T. Ölmez, 2021, ArXiv.

Determination of Pneumonia in X-ray Chest Images by Using Convolutional Neural Network

Tamer Ölmez, Zümray Dokur, Özlem Polat, 2021, Turkish J. Electr. Eng. Comput. Sci..

Classification of motor imagery electroencephalogram signals by using a divergence based convolutional neural network

Zümray Dokur, Tamer Olmez, 2021, Applied Soft Computing.