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| Issue Date | Title | Author(s) |
| 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 |
| 2020 | Classification of Medical Thermograms using Transfer Learning | Örnek, Ahmet Haydar; Ceylan, Murat |
| 2021 | Classification of neonatal diseases with limited thermal Image data | Ervural, Saim; Ceylan, Murat |
| 2023 | CodCAM: A new ensemble visual explanation for classification of medical thermal images | Örnek, Ahmet Haydar; Ceylan, Murat |
| 2021 | Comparison of linear discriminant analysis, support vector machines and naive bayes methods in the classification of neonatal hyperspectral signatures | Cihan, Mücahit; Ceylan, Murat |
| 2019 | Comparison of Traditional Transformations for Data Augmentation in Deep Learning of Medical Thermography | Örnek, Ahmet Haydar; Ceylan, Murat |
| 2021 | Convolutional Neural Networks-Based Approach to Detect Neonatal Respiratory System Anomalies with Limited Thermal Image | Ervural, Saim; Ceylan, Murat |
| 2022 | COVID-19 hastalığının derin öğrenme yöntemleri kullanılarak tespiti | Yaşar, Hüseyin |
| 2021 | Deep Learning Based Super Resolution and Classification Applications for Neonatal Thermal Images | Şenalp, Fatih Mehmet; Ceylan, Murat |
| 2022 | Deep learning based super resolution application for a new data set consisting of thermal facial images | Şenalp, Fatih Mehmet; Ceylan, Murat |
| 2021 | Deep Learning-Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images | Yaşar, Hüseyin; Ceylan, Murat |
| 2021 | Deep Transfer Learning and Majority Voting Approaches for Osteoporosis Classification | Ashames, M.M.; Ceylan, Murat ; Jennane, R. |
| 2020 | Derin öğrenme yöntemleri kullanılarak osteoporozun belirlenmesi | Ashames, Mohamad Melad Ali |
| 2021 | Effects of the deep learning-based super-resolution method on thermal image classification applications | Şenalp, Fatih Mehmet; Ceylan, Murat |
| 2021 | Explainable Artificial Intelligence (XAI): Classification of Medical Thermal Images of Neonates Using Class Activation Maps | Örnek, Ahmet H.; Ceylan, Murat |
| 2020 | Explainable Features in Classification of Neonatal Thermograms | Örnek, Ahmet Haydar; Ceylan, Murat |
| 2021 | 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. |
| 2022 | HayCAM: A Novel Visual Explanation for Deep Convolutional Neural Networks | Örnek, Ahmet H.; Ceylan, Murat |
| 2019 | Health status detection of neonates using infrared thermography and deep convolutional neural networks | Örnek, Ahmet Haydar; Ceylan, Murat ; Ervural, Saim |
| 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 |
