Classificatin of brain tumors by machine learning algorithms G Çınarer, BG Emiroğlu 2019 3rd international symposium on multidisciplinary studies and innovative …, 2019 | 62 | 2019 |
Prediction of Glioma Grades Using Deep Learning with Wavelet Radiomic Features G Çınarer, BG Emiroğlu, AH Yurttakal Applied Sciences 10 (18), 6296, 2020 | 45 | 2020 |
Öğretmenlerin Teknolojik Araçlarla Eğitime Yönelik Tutumlarının Çeşitli Değişkenlere Göre İncelenmesi Yozgat İli Örneği G Çınarer EEB 2016 Elektrik-Elektronik Ve Bilgisayar Sempozyumu 11-13 Mayıs 2016 …, 2016 | 20 | 2016 |
A comparative study on segmentation and classification in breast mri imaging AH Yurttakal, H Erbay, T İkizceli, S Karacavus, G Çinarer IIOAB J 9 (5), 23-33, 2018 | 19 | 2018 |
Classification of hazelnuts according to their quality using deep learning algorithms. N Erbaş, G Çinarer, K Kiliç Czech Journal of Food Sciences 40 (3), 2022 | 17 | 2022 |
Brain Tumor Classification Using Deep Neural Network G Çınarer, BG Emiroğlu, RS Arslan, AH Yurttakal | 12 | 2020 |
Classification of Diabetic Rat Histopathology Images Using Convolutional Neural Networks AH Yurttakal, H Erbay, G Çınarer, H Baş International Journal of Computational Intelligence Systems 14 (1), 715-722, 2021 | 8 | 2021 |
Classification of brain tumours using radiomic features on MRI G Çınarer, BG Emiroglu New Trends and Issues Proceedings on Advances in Pure and Applied Sciences …, 2020 | 8* | 2020 |
Diabetic retinopathy detection with deep transfer learning methods G Çinarer, K Kiliç Intelligent and Fuzzy Techniques for Emerging Conditions and Digital …, 2022 | 6 | 2022 |
Yapay Sinir Ağları Yöntemi İle Burs Analizi S ÜNAL, G ÇINARER, İ KARAMAN, A HaşimYURTTAKAL | 4 | 2016 |
Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation: Proceedings of the INFUS 2021 Conference, held August 24-26, 2021. Volume 2 G Çınarer, C Kahraman, S Cebi, SC Onar, B Oztaysi, AC Tolga, IU Sari Springer Nature, 2021 | 3 | 2021 |
Rice classification and quality detection success with artificial intelligence technologies G Çınarer, N Erbaş, A Öcal Brazilian Archives of Biology and Technology 67, e24220754, 2024 | 2 | 2024 |
Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector G Çınarer, MK Yeşilyurt, Ü Ağbulut, Z Yılbaşı, K Kılıç Science and Technology for Energy Transition 79, 15, 2024 | 2 | 2024 |
Cancer Lesion Classification with GAN-Based Image Augmentation Method from Skin Images E Gören, G Çınarer 2 nd International Conference on Engineering, Natural and Social Sciences 1 …, 2023 | 2 | 2023 |
Feature selection methods for intrusion detection using machine learning methods T Parlar, G Çınarer Selcuk University Journal of Engineering Sciences 21 (2), 63-68, 2022 | 2 | 2022 |
X-RAY GÖRÜNTÜLERİNİ KULLANARAK GLCM VE DERİN ÖZNİTELİKLERİN BİRLEŞİMİNE DAYALI COVID-19 SINIFLANDIRILMASI T Hayıt, G Çınarer İnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi 10 (1), 313-325, 2022 | 2 | 2022 |
A Deep Transfer Learnıng Framework For The Stagıng Of Dıabetıc Retınopathy G ÇINARER, K KILIÇ, T PARLAR Journal of Scientific Reports-A, 106-119, 2022 | 2* | 2022 |
Predicting 1p/19q chromosomal deletion of brain tumors using machine learning G Çinarer, BG Emiroğlu, AH Yurttakal Emerging Materials Research 10 (2), 238-244, 2021 | 2 | 2021 |
Statistical analysis of radiomic features in differentiation of glioma grades G Çınarer, BG Emiroglu New Trends and Issues Proceedings on Advances in Pure and Applied Sciences …, 2020 | 2 | 2020 |
Parkinson Disease Classification with Stacking Ensemble Learning Algorithm G Çınarer 2nd International Turkish World Engineering and Science Congress, November 7 …, 2019 | 2 | 2019 |