| Coronavirus (Covid-19) Classification Using CT Images by Machine Learning Methods M Barstuğan, U Özkaya, Ş Öztürk Recent Trends and Applications in Computer Science and Information …, 2021 | 540* | 2021 |
| Coronavirus (COVID-19) classification using deep features fusion and ranking technique U Özkaya, Ş Öztürk, M Barstuğan Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation …, 2020 | 216 | 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 | 161 | 2021 |
| Deep learning-based weathering type recognition in historical stone monuments ME Hatir, M Barstuğan, İ İnce Journal of Cultural Heritage 45, 193-203, 2020 | 61 | 2020 |
| PBO/graphene added β-PVDF piezoelectric composite nanofiber production R Barstugan, M Barstugan, I Ozaytekin Composites Part B: Engineering 158, 141-148, 2019 | 40 | 2019 |
| COVID-19 discrimination framework for X-ray images by considering radiomics, selective information, feature ranking, and a novel hybrid classifier H Koyuncu, M Barstuğan Signal Processing: Image Communication 97, 116359, 2021 | 16 | 2021 |
| Evaluation of the relationship between the physical properties and capillary water absorption values of building stones by regression analysis and artificial neural networks İ İnce, A Bozdağ, M Barstuğan, M Fener Journal of Building Engineering 42, 103055, 2021 | 13 | 2021 |
| A comprehensive study of brain tumour discrimination using phase combinations, feature rankings, and hybridised classifiers H Koyuncu, M Barstuğan, MÜ Öziç Medical & Biological Engineering & Computing 58, 2971-2987, 2020 | 13 | 2020 |
| The effect of dictionary learning on weight update of AdaBoost and ECG classification M Barstuğan, R Ceylan Journal of King Saud University-Computer and Information Sciences 32 (10 …, 2020 | 13 | 2020 |
| Adrenal tumor segmentation method for MR images M Barstuğan, R Ceylan, S Asoglu, H Cebeci, M Koplay Computer methods and programs in biomedicine 164, 87-100, 2018 | 13 | 2018 |
| Automatic Liver Segmentation in Abdomen CT Images using SLIC and AdaBoost Algorithms M Barstuğan, R Ceylan, M Sivri, H Erdoğan 8th International Conference on Bioscience, Biochemistry, and Bioinformatics …, 2018 | 12 | 2018 |
| Adrenal tumor characterization on magnetic resonance images M Barstugan, R Ceylan, S Asoglu, H Cebeci, M Koplay Journal of Imaging Systems and Technology, 1-14, 2019 | 6 | 2019 |
| An autonomous system design for mold loading on press brake machines using a camera platform, deep learning, and image processing MÜ Öziç, M Barstuğan, A Özdamar Journal of Mechanical Science and Technology 37 (8), 4239-4247, 2023 | 5 | 2023 |
| Detection of defects on single-bead welding by machine learning methods M Barstugan, YS Ceran, M Yilmaz, NA Dundar IOP Conference Series: Materials Science and Engineering 895 (1), 012012, 2020 | 4 | 2020 |
| A Deep Learning-Based Quality Control Application M Korkmaz, M Barstuğan Avrupa Bilim ve Teknoloji Dergisi, 332-336, 2020 | 4 | 2020 |
| Deep Learning Based Human Robot Interaction with 5G Communication M BARSTUĞAN, Z OSMANPAŞAOĞLU Konya Journal of Engineering Sciences 11 (2), 423-438, 2023 | 2 | 2023 |
| Adrenal Tumor Classification on T1 and T2-weighted Abdominal MR Images M Barstugan, R Ceylan, S Asoglu, H Cebeci, M Koplay 2019 3rd International Symposium on Multidisciplinary Studies and Innovative …, 2019 | 2 | 2019 |
| Feature Selection using FFS and PCA in Biomedical Data Classification with AdaBoost-SVM R Ceylan, M Barstuğan International Journal of Intelligent Systems and Applications in Engineering …, 2018 | 2 | 2018 |
| A discriminative dictionary learning-AdaBoost-SVM classification method on imbalanced datasets M Barstuğan, R Ceylan 2017 International Artificial Intelligence and Data Processing Symposium …, 2017 | 2 | 2017 |
| Classification of mammogram images by dictionary learning M Barstuğan, R Ceylan 2017 International Artificial Intelligence and Data Processing Symposium …, 2017 | 2 | 2017 |
