| 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 |
| 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 |
| Fine-tuning models comparisons on garbage classification for recyclability U Ozkaya, L Seyfi arXiv preprint arXiv:1908.04393, 2019 | 73 | 2019 |
| 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 |
| Coronavirus (covid-19) classification using ct images by machine learning methods. arXiv 2020 M Barstugan, U Ozkaya, S Ozturk arXiv preprint arXiv:2003.09424, 0 | 48 | |
| 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| RETRACTED ARTICLE: A comparative study on parameters of leaf-shaped patch antenna using hybrid artificial intelligence network models U Ozkaya, L Seyfi Neural Computing and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 |
| Comparative Regression Analysis for Estimating Resonant Frequency of C‐Like Patch Antennas U Özkaya, E Yiğit, L Seyfi, Ş Öztürk, D Singh Mathematical Problems in Engineering 2021 (1), 6903925, 2021 | 13 | 2021 |
| Faults detection with image processing methods in textile sector U Özkaya, Ş Öztürk, K Tuna, L Seyfi, B Akdemir SETSCI-Conference Proceedings 2, 405-409, 2018 | 12 | 2018 |
| Automatic target recognition (ATR) from SAR imaginary by using machine learning techniques U Özkaya Avrupa Bilim ve Teknoloji Dergisi, 165-169, 2020 | 9 | 2020 |
| A novel fuzzy logic model for intelligent traffic systems U Ozkaya, L Seyfi ST JOHN PATRICK PUBL, 2016 | 9 | 2016 |
| Coronavirus (COVID-19) classification using CT ımages by machine learning methods. eprint M Barstugan, U Ozkaya, S Ozturk arXiv preprint arXiv:2003.09424, 2020 | 7 | 2020 |
| Fused deep features based classification framework for COVID-19 classification with optimized MLP Ş Öztürk, E Yiğit, U Özkaya Konya Journal of Engineering Sciences 8, 15-27, 2020 | 7 | 2020 |