| Issue Date | Title | Author(s) |
| 1 | 2022 | Classification of neonatal diseases with limited thermal Image data | Ervural, Saim; Ceylan, Murat |
| 2 | 2022 | Deep learning based super resolution application for a new data set consisting of thermal facial images | Şenalp, Fatih Mehmet; Ceylan, Murat |
| 3 | 2022 | Effects of the deep learning-based super-resolution method on thermal image classification applications | Şenalp, Fatih Mehmet; Ceylan, Murat |
| 4 | 2022 | Fast Evaluation of Unhealthy and Healthy Neonates Using Hyperspectral Features on 700-850 Nm Wavelengths, ROI Extraction, and 3D-CNN | Cihan, Mücahit; Ceylan, Murat ; Soylu, H.; Konak, M. |
| 5 | 2022 | HayCAM: A Novel Visual Explanation for Deep Convolutional Neural Networks | Örnek, Ahmet H.; Ceylan, Murat |
| 6 | 2022 | Medical thermograms' classification using deep transfer learning models and methods | Örnek, Ahmet Haydar; Ceylan, Murat |
| 7 | 2022 | A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks | Yaşar, Hüseyin; Ceylan, Murat |
| 8 | 2022 | A novel study to increase the classification parameters on automatic three-class COVID-19 classification from CT images, including cases from Turkey | Yaşar, Hüseyin; Ceylan, Murat ; Cebeci, Hakan; Kılınçer, Abidin; Kanat, Fikret; Koplay, Mustafa |
| 9 | 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 |
| 10 | 2022 | Thermogram classification using deep siamese network for neonatal disease detection with limited data | Ervural, Saim; Ceylan, Murat |
| 11 | 2022 | Using Convolutional Neural Networks for Detecting Acrylamide in Biscuit Manufacturing Process | Topçuoğlu, Dilruba; Mentes, Berat Utkan; Aşkın, Nur; Şengül, Ayşe Damla; Cankut, Zeynep Deniz; Akdemir, Talip; Ceylan, Murat |
