| Issue Date | Title | Author(s) |
1 | 2020 | Classification of Medical Thermograms Belonging Neonates by Using Segmentation, Feature Engineering and Machine Learning Algorithms | Örnek, Ahmet Haydar; Ervural, Saim; Ceylan, Murat ; Konak, Murat; Soylu, Hanifi; Savaşçı, Duygu |
2 | 2020 | Classification of Medical Thermograms using Transfer Learning | Örnek, Ahmet Haydar; Ceylan, Murat |
3 | 2023 | CodCAM: A new ensemble visual explanation for classification of medical thermal images | Örnek, Ahmet Haydar; Ceylan, Murat |
4 | 2019 | Comparison of Traditional Transformations for Data Augmentation in Deep Learning of Medical Thermography | Örnek, Ahmet Haydar; Ceylan, Murat |
5 | 2020 | Explainable Features in Classification of Neonatal Thermograms | Örnek, Ahmet Haydar; Ceylan, Murat |
6 | 2019 | Health status detection of neonates using infrared thermography and deep convolutional neural networks | Örnek, Ahmet Haydar; Ceylan, Murat ; Ervural, Saim |
7 | 2020 | Heart Disease Detection from Neonatal Infrared Thermograms Using Multiresolution Features and Data Augmentation | Savaşcı, Duygu; Ceylan, Murat ; Örnek, Ahmet Haydar; Konak, Murat; Soylu, Hanifi |
8 | 2021 | Mask Detection from Face Images Using Deep Learning and Transfer Learning | Örnek, Ahmet Haydar; Çelik, Mustafa; Ceylan, Murat |
9 | 2022 | Medical thermograms' classification using deep transfer learning models and methods | Örnek, Ahmet Haydar; Ceylan, Murat |
10 | 2022 | Spectral-spatial classification for non-invasive health status detection of neonates using hyperspectral imaging and deep convolutional neural networks | Cihan, Mücahit; Ceylan, Murat ; Örnek, Ahmet Haydar |