Moghimi, Armin; Welzel, Mario; Celik, Turgay; Schlurmann, Torsten (2024). A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery. IEEE Access. ISSN: 2169-3536. 12s 52067 - 52085. doi:10.1109/ACCESS.2024.3385425.
Ghimire Subedi, Sarala; Celik, Turgay; Gerdes, Martin; Omlin, Christian Walter Peter (2024). Deep learning for blood glucose level prediction: How well do models generalize across different data sets?. PLOS ONE. ISSN: 1932-6203. 19 (9). doi:10.1371/journal.pone.0310801.
Ahsan Ashraf, Muhammad; Celik, Turgay (2024). Evaluating radiofrequency electromagnetic field exposure in confined spaces: a systematic review of recent studies and future directions. Radiation Protection Dosimetry. ISSN: 0144-8420. 200 (6). s 598 - 616. doi:10.1093/rpd/ncae045.
Moghimi, Armin; Celik, Turgay; Mohammadzadeh, Ali (2022). Tensor-based keypoint detection and switching regression model for relative radiometric normalization of bitemporal multispectral images. International Journal of Remote Sensing. ISSN: 0143-1161. 43 (11). s 3927 - 3956. doi:10.1080/01431161.2022.2102951.
Mokoena, Tshepiso; Celik, Turgay; Marivate, Vukosi (2021). Why is this an anomaly? Explaining anomalies using sequential explanations. Pattern Recognition. ISSN: 0031-3203. 121doi:10.1016/j.patcog.2021.108227.