| ECG beat classification by a novel hybrid neural network Z Dokur, T Ölmez Computer methods and programs in biomedicine 66 (2-3), 167-181, 2001 | 314 | 2001 |
| Classification of electroencephalogram signals with combined time and frequency features Z Iscan, Z Dokur, T Demiralp Expert Systems with Applications 38 (8), 10499-10505, 2011 | 244 | 2011 |
| Classification of heart sounds using an artificial neural network T Ölmez, Z Dokur Pattern recognition letters 24 (1-3), 617-629, 2003 | 214 | 2003 |
| Detection of ECG waveforms by neural networks Z Dokur, T Ölmez, E Yazgan, OK Ersoy Medical engineering & physics 19 (8), 738-741, 1997 | 134 | 1997 |
| Heart sound classification using wavelet transform and incremental self-organizing map Z Dokur, T Ölmez Digital Signal Processing 18 (6), 951-959, 2008 | 123 | 2008 |
| Tumor detection by using Zernike moments on segmented magnetic resonance brain images Z Iscan, Z Dokur, T Ölmez Expert systems with applications 37 (3), 2540-2549, 2010 | 121 | 2010 |
| Comparison of discrete wavelet and Fourier transforms for ECG beat classification Z Dokur, T Ölmez, E Yazgan Electronics Letters 35 (18), 1502-1504, 1999 | 111 | 1999 |
| Segmentation of ultrasound images by using a hybrid neural network Z Dokur, T Ölmez Pattern Recognition Letters 23 (14), 1825-1836, 2002 | 74 | 2002 |
| X-ray chest image classification by a small-sized convolutional neural network E Kesim, Z Dokur, T Olmez 2019 scientific meeting on electrical-electronics & biomedical engineering …, 2019 | 68 | 2019 |
| Respiratory sound classification by using an incremental supervised neural network Z Dokur Pattern Analysis and Applications 12, 309-319, 2009 | 67 | 2009 |
| Feature determination for heart sounds based on divergence analysis Z Dokur, T Ölmez Digital Signal Processing 19 (3), 521-531, 2009 | 66 | 2009 |
| Segmentation of remote-sensing images by incremental neural network MN Kurnaz, Z Dokur, T Ölmez Pattern recognition letters 26 (8), 1096-1104, 2005 | 61 | 2005 |
| A unified framework for image compression and segmentation by using an incremental neural network Z Dokur Expert Systems with Applications 34 (1), 611-619, 2008 | 60 | 2008 |
| Medical image segmentation with transform and moment based features and incremental supervised neural network Z Iscan, A Yüksel, Z Dokur, M Korürek, T Ölmez Digital Signal Processing 19 (5), 890-901, 2009 | 52 | 2009 |
| Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning KN Khan, FA Khan, A Abid, T Olmez, Z Dokur, A Khandakar, ... Physiological measurement 42 (9), 095003, 2021 | 49 | 2021 |
| Classification of heart sounds by using wavelet transform O Say, Z Dokur, T Olmez Proceedings of the Second Joint 24th Annual Conference and the Annual Fall …, 2002 | 44 | 2002 |
| Heartbeat classification by using a convolutional neural network trained with Walsh functions Z Dokur, T Ölmez Neural Computing and Applications 32 (16), 12515-12534, 2020 | 39 | 2020 |
| Ultrasound image segmentation by using wavelet transform and self-organizing neural network Z Iscan, MN Kurnaz, Z Dokur, T Olmez Neural Information Processing-Letters and Reviews 10 (8-9), 183-191, 2006 | 38 | 2006 |
| An incremental neural network for tissue segmentation in ultrasound images MN Kurnaz, Z Dokur, T Ölmez Computer methods and programs in biomedicine 85 (3), 187-195, 2007 | 34 | 2007 |
| Classification of Respiratory Sounds by Using an Artificial Neural Network. Z Dokur, T Ölmez International Journal of Pattern Recognition & Artificial Intelligence 17 (4), 2003 | 33 | 2003 |
Prof .Dr. Tamer OlmezIstanbul Technical University在 itu.edu.tr 的电子邮件经过验证
