| 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 | Clustering-Based Plane Refitting of Non-planar Patches for Voxel-Based 3D Point Cloud Segmentation Using K-Means Clustering | Sağlam, Ali ; Makineci, Hasan Bilgehan ; Baykan, Ömer Kaan ; Baykan, Nurdan Akhan |
| 2020 | Comparison of the Effects of Mel Coefficients and Spectrogram Images via Deep Learning in Emotion Classification | Demircan, Semiye ; Örnek, Humar Kahramanlı |
| 2021 | Convolutional Neural Networks-Based Approach to Detect Neonatal Respiratory System Anomalies with Limited Thermal Image | Ervural, Saim; Ceylan, Murat |
| 2020 | Finger Vein Recognition by Combining Anisotropic Diffusion and a New Feature Extraction Method | Titrek, Fatih ; Baykan, Ömer Kaan |
| 2020 | Identification of Apnea-Hypopnea Index Subgroups Based on Multifractal Detrended Fluctuation Analysis and Nasal Cannula Airflow Signals | Göğüş, Fatma Zehra; Tezel, Gülay ; Özşen, Seral ; Küççüktürk, Serkan; Vatansev, Hülya; Koca, Yasin |
| 2021 | Multi-Focus Image Fusion with Multi-Scale Transform Optimized by Metaheuristic Algorithms | Abas, Asan İhsan; Baykan, Nurdan Akhan |
| 2021 | Quantitative Analysis of EEG Slow Wave Activity Based on MinPeakProminence Method | Yıldırım, Sema; Koçer, Hasan Erdinç; Ekmekçi, Ahmet Hakan |
| 2020 | Spatial Pyramid Pooling in Deep Convolutional Networks for Automatic Tuberculosis Diagnosis | Msonda, Pike; Uymaz, Sait Ali ; Karaağaç, Seda Soğukpınar |
