Z. Dokur

发表

Comparison of discrete wavelet and Fourier transforms for ECG beat classification

T. Ölmez, Z. Dokur, E. Yazgan, 1999 .

ULTRASOUND IMAGE SEGMENTATION WITH GROWING CELL STRUCTURE

M. N. Kurnaz, T. Ölmez, Z. Dokur, 2003 .

Yapay Sinir Aglan ile Uzaktan Algilama Goruntulerinin Boliitlenmesi Segmentation of Remote-Sensing Images by Artificial Neural Networks

T. Ölmez, Z. Dokur, 2004 .

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

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

Compression of Medical Images by Using Artificial Neural Networks

Z. Dokur, 2006, ICIC.

Segmentation of remote-sensing images by artificial neural networks

T. Olmez, Z. Dokur, Z. Dokur, 2004, Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, 2004..

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

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

Classification of ECG waveforms using a novel neural network

T. Olmez, E. Yazgan, Z. Dokur, 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

Neurological effects of long‐term diet on obese and overweight individuals: An electroencephalogram and event‐related potential study

T. Ölmez, Z. Dokur, A. Duru, 2021, Comput. Intell..

X-Ray Chest Image Classification by A Small-Sized Convolutional Neural Network

Zumray Dokur, Tamer Olmez, Ege Kesim, 2019, 2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT).

Pneumonia Detection and Classification Using Deep Learning on Chest X-Ray Images

Z. Dokur, M. Darici, 2020, International Journal of Intelligent Systems and Applications in Engineering.

Respiratory sound classification by using an incremental supervised neural network

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

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..

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

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

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

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

Tissue segmentation in ultrasound images by using genetic algorithms

Tamer Ölmez, Zümray Dokur, T. Ölmez, 2008, 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..

Segmentation of remote-sensing images by incremental neural network

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

Segmentation of ultrasound images by using wavelet transform

T. Olmez, Z. Dokur, M.N. Kurnaz, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Segmentation of ultrasound images by using a hybrid neural network

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

Classification of tissues in MR images by using discrete cosine transform

T. Olmez, Z. Dokur, M.N. Kumaz, 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning

Amith Khandakar, Anam Abid, Faiq Ahmad Khan, 2020, Physiological measurement.

Classification of electroencephalogram signals with combined time and frequency features

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

Feature determination for heart sounds based on divergence analysis

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

Detection of ECG waveforms by neural networks.

Z Dokur, T Olmez, E Yazgan, 1997, Medical engineering & physics.

Classification of heart sounds using an artificial neural network

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

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

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

Classification of Hyperspectral Images by Using Spectral Data and Fully Connected Neural Network pdf

Tamer Ölmez, Zumray Dokur, T. Ölmez, 2022, ArXiv.

ECG beat classification by a novel hybrid neural network

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

Classification of respiratory sounds by using an artificial neural network

T. Olmez, Z. Dokur, M.C. Sezgin, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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

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

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..

Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural Network pdf

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

Motor Imagery Based EEG Classification by Using Common Spatial Patterns and Convolutional Neural Networks

Nuri Korhan, Zumray Dokur, Tamer Olmez, 2019, 2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT).

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

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