| Coronavirus (covid-19) classification using ct images by machine learning methods M Barstugan, U Ozkaya, S Ozturk arXiv preprint arXiv:2003.09424, 2020 | 532 | 2020 |
| Coronavirus (COVID-19) classification using deep features fusion and ranking technique U Özkaya, Ş Öztürk, M Barstugan Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation …, 2020 | 221 | 2020 |
| Classification of Coronavirus (COVID‐19) from X‐ray and CT images using shrunken features Ş Öztürk, U Özkaya, M Barstuğan International journal of imaging systems and technology 31 (1), 5-15, 2021 | 171 | 2021 |
| Skin lesion segmentation with improved convolutional neural network Ş Öztürk, U Özkaya Journal of digital imaging 33, 958-970, 2020 | 130 | 2020 |
| Residual LSTM layered CNN for classification of gastrointestinal tract diseases Ş Öztürk, U Özkaya Journal of Biomedical Informatics 113, 103638, 2021 | 86 | 2021 |
| GPR B scan image analysis with deep learning methods U Ozkaya, F Melgani, MB Bejiga, L Seyfi, M Donelli Measurement 165, 107770, 2020 | 82 | 2020 |
| Gastrointestinal tract classification using improved LSTM based CNN Ş Öztürk, U Özkaya Multimedia Tools and Applications 79 (39), 28825-28840, 2020 | 77 | 2020 |
| Fine-Tuning Models Comparisons on Garbage Classification for Recyclability U Özkaya, L Seyfi 2nd International Symposium on Innovative Approaches in Scientific Studies …, 2018 | 73 | 2018 |
| Dimension optimization of microstrip patch antenna in X/Ku band via artificial neural network U Ozkaya, L Seyfi Procedia-Social and Behavioral Sciences 195, 2520-2526, 2015 | 71 | 2015 |
| Residual CNN+ Bi-LSTM model to analyze GPR B scan images U Özkaya, Ş Öztürk, F Melgani, L Seyfi Automation in Construction 123, 103525, 2021 | 52 | 2021 |
| A miniaturized folded square split ring resonator cell based dual band polarization insensitive metamaterial absorber for C-and Ku-band applications M Berka, U Özkaya, T Islam, M El Ghzaoui, S Varakumari, S Das, ... Optical and Quantum Electronics 55 (8), 699, 2023 | 50 | 2023 |
| Coronavirus (covid-19) classification using ct images by machine learning methods. arXiv 2020 M Barstugan, U Ozkaya, S Ozturk arXiv preprint arXiv:2003.09424, 2020 | 48 | 2020 |
| Automatic detection of power quality disturbance using convolutional neural network structure with gated recurrent unit E Yiğit, U Özkaya, Ş Öztürk, D Singh, H Gritli Mobile Information Systems 2021 (1), 7917500, 2021 | 43 | 2021 |
| Classification of COVID-19 in chest CT images using convolutional support vector machines U Özkaya, Ş Öztürk, S Budak, F Melgani, K Polat arXiv preprint arXiv:2011.05746, 2020 | 33 | 2020 |
| An efficient retinal blood vessel segmentation using morphological operations U Ozkava, S Ozturk, B Akdemir, L Sevfi 2018 2nd International Symposium on Multidisciplinary Studies and Innovative …, 2018 | 33 | 2018 |
| Coronavirus (COVID-19) Classification using CT images by machine learning methods, 2020 M Barstugan, U Ozkaya, S Ozturk arXiv preprint arXiv:2003.09424, 2003 | 32 | 2003 |
| Convolution kernel size effect on convolutional neural network in histopathological image processing applications Ş Öztürk, U Özkaya, B Akdemir, L Seyfi 2018 International Symposium on Fundamentals of Electrical Engineering …, 2018 | 31 | 2018 |
| Deep dictionary learning application in GPR B-scan images U Ozkaya, L Seyfi Signal, Image and Video Processing 12, 1567-1575, 2018 | 27 | 2018 |
| RETRACTED ARTICLE: A comparative study on parameters of leaf-shaped patch antenna using hybrid artificial intelligence network models U Ozkaya, L Seyfi Neural Computing and Applications 29 (8), 35-45, 2018 | 22 | 2018 |
| Determination of the amount of grain in silos with deep learning methods based on radar spectrogram data H Duysak, U Ozkaya, E Yigit IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021 | 13 | 2021 |
Şaban ÖztürkAssociate Professor of Electrical and Electronics EngineeringDirección de correo verificada de bilkent.edu.tr
