| A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods A Saygılı Applied Soft Computing 105, 107323, 2021 | 130 | 2021 |
| Classification and diagnostic prediction of breast cancers via different classifiers A Saygılı International Scientific and Vocational Studies Journal 2 (2), 48-56, 2018 | 53 | 2018 |
| An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images A Saygılı, S Albayrak Artificial Intelligence in Medicine 97, 118-130, 2019 | 27 | 2019 |
| Computer-aided detection of COVID-19 from CT images based on Gaussian mixture model and kernel support vector machines classifier A Saygılı Arabian Journal for Science and Engineering 47 (2), 2435-2453, 2022 | 24 | 2022 |
| A new computer-based approach for fully automated segmentation of knee meniscus from magnetic resonance images A Saygılı, S Albayrak Biocybernetics and Biomedical Engineering 37 (3), 432-442, 2017 | 20 | 2017 |
| Knee Meniscus Segmentation and Tear Detection from MRI: A Review A Saygılı, S Albayrak Current Medical Imaging 16 (1), 2-15, 2020 | 14 | 2020 |
| Tomato leaf disease detection and classification using convolutional neural networks G Irmak, A Saygili 2020 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-5, 2020 | 13 | 2020 |
| Automatic detection of meniscal area in the knee MR images A Saygili, H Kaya, S Albayrak 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 9 | 2016 |
| Meniscus segmentation and tear detection in the knee MR images by fuzzy c-means method A Saygili, S Albayrak 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 7 | 2017 |
| Veri madenciliği ile mühendislik fakültesi öğrencilerinin okul başarılarının analizi A Saygili Fen Bilimleri Enstitüsü, 2013 | 7 | 2013 |
| Meniscus tear classification using histogram of oriented gradients in knee MR images A Saygili, S Albayrak 2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018 | 6 | 2018 |
| A NOVEL APPROACH TO HEART ATTACK PREDICTION IMPROVEMENT VIA EXTREME LEARNING MACHINES CLASSIFIER INTEGRATED WITH DATA RESAMPLING STRATEGY A SAYGILI Konya Mühendislik Bilimleri Dergisi 8 (4), 853-865, 2020 | 5 | 2020 |
| Automated diagnosis of meniscus tears from MRI of the knee A Saygılı, S Varlı International Scientific and Vocational Studies Journal 3 (2), 92-104, 2019 | 4 | 2019 |
| HİYERARŞİK KÜMELEME MODELİ KULLANAN WEB TABANLI BİR ÖDEV DEĞERLENDİRME SİSTEMİ E Uzun, C Erdoğan, A Saygılı Ejovoc (Electronic Journal of Vocational Colleges) 6 (3), 87-98, 2016 | 4 | 2016 |
| Analysis and Segmentation of X-ray Images of COVID-19 Patients using the k-means Algorithm A Saygılı Veri Bilimi 4 (3), 1-6, 2021 | 3 | 2021 |
| Identification and Recognition of Animals from Biometric Markers Using Computer Vision Approaches: A Review P CIHAN, A SAYGILI, NE OZMEN, M AKYUZLU Volume: 29 Issue: 6 (November-December), 581, 2023 | 1 | 2023 |
| The efficiency of transfer learning and data augmentation in lemon leaf image classification A Saygılı European Journal of Engineering and Applied Sciences 6 (1), 32-40, 2023 | 1 | 2023 |
| Comparative analysis of codeword representation by clustering methods for the classification of histological tissue types A Saygili, G Uysal, G Bilgin Eighth International Conference on Machine Vision (ICMV 2015) 9875, 163-168, 2015 | 1 | 2015 |
| Faculty of engineering students' success analysis with clustering methods A Saygili, S Albayrak 2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013 | 1 | 2013 |
| CattNIS: Novel identification system of cattle with retinal images based on feature matching method A Saygılı, P Cihan, CŞ Ermutlu, U Aydın, Ö Aksoy Computers and Electronics in Agriculture 221, 108963, 2024 | | 2024 |
Heysem KayaAssistant Professor of Social and Affective Computing, Utrecht University在 uu.nl 的电子邮件经过验证
