| Issue Date | Title | Author(s) |
| 1 | 2024 | Camera/LiDAR Sensor Fusion-based Autonomous Navigation | Yusefi, A.; Durdu, A. ; Toy, I. |
| 2 | 2021 | A CNN-based novel solution for determining the survival status of heart failure patients with clinical record data: numeric to image | Aslan, Muhammet Fatih; Sabancı, Kadir; Durdu, Akif |
| 3 | 2021 | Coronavirus (Covid-19) classification using CT images by machine learning methods | Barstuğan, Mücahid ; Özkaya, U. ; Öztürk, Ş. |
| 4 | 2021 | Deep Learning Based Super Resolution and Classification Applications for Neonatal Thermal Images | Şenalp, Fatih Mehmet; Ceylan, Murat |
| 5 | 2020 | Deep Learning Methods in Unmanned Underwater Vehicles | Ataner, Ercan; Özdeş, Büşra; Öztürk, Gamze; Çelik, Taha Yasin Can; Durdu, Akif ; Terzioğlu, Hakan |
| 6 | 2024 | Deep Learning-Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images | Yaşar, Hüseyin; Ceylan, Murat |
| 7 | 2020 | Deep learning-based weathering type recognition in historical stone monuments | Hatır, Mehmet Ergün; Barstuğan, Mücahid ; İnce, İsmail |
| 8 | 2021 | Determination of the Amount of Grain in Silos With Deep Learning Methods Based on Radar Spectrogram Data | Duysak, Hüseyin; Özkaya, Umut ; Yiğit, Enes |
| 9 | 2022 | Effects of the deep learning-based super-resolution method on thermal image classification applications | Şenalp, Fatih Mehmet; Ceylan, Murat |
| 10 | 2021 | Explainable Artificial Intelligence (XAI): Classification of Medical Thermal Images of Neonates Using Class Activation Maps | Örnek, Ahmet H.; Ceylan, Murat |
| 11 | 2019 | Health status detection of neonates using infrared thermography and deep convolutional neural networks | Örnek, Ahmet Haydar; Ceylan, Murat ; Ervural, Saim |
| 12 | 2020 | KÇ3B-ESA: Hiperspektral Görüntü Sınıflandırması için Yeni 3B Evrişimli Sinir Ağı ve Uzaktan Algılama Uygulaması | Cihan, Mücahıt; Ceylan, Murat |
| 13 | 2021 | A novel comparative study for detection of Covid-19 on CT lung images using texture analysis, machine learning, and deep learning methods | Yaşar, Hüseyin; Ceylan, Murat |
| 14 | 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 |
| 15 | 2021 | The YTU dataset and recurrent neural network based visual-inertial odometry | Gürtürk, Mert; Yusefi, Abdullah; Aslan, Muhammet Fatih; Soycan, Metin; Durdu, Akif ; Masiero, Andrea |
