Browsing by Author Örnek, Ahmet Haydar

Showing results 1 to 13 of 13
Issue DateTitleAuthor(s)
2020Classification of Medical Thermograms Belonging Neonates by Using Segmentation, Feature Engineering and Machine Learning AlgorithmsÖrnek, Ahmet Haydar; Ervural, Saim; Ceylan, Murat ; Konak, Murat; Soylu, Hanifi; Savaşçı, Duygu
2020Classification of Medical Thermograms using Transfer LearningÖrnek, Ahmet Haydar; Ceylan, Murat 
2023CodCAM: A new ensemble visual explanation for classification of medical thermal imagesÖrnek, Ahmet Haydar; Ceylan, Murat 
2021Comparing Image Similarity Methods for Face ImagesÖrnek, Ahmet Haydar; Çelik, Mustafa; Alper, Ozan Can
2019Comparison of Traditional Transformations for Data Augmentation in Deep Learning of Medical ThermographyÖrnek, Ahmet Haydar; Ceylan, Murat 
2020Explainable Features in Classification of Neonatal ThermogramsÖrnek, Ahmet Haydar; Ceylan, Murat 
2019Health status detection of neonates using infrared thermography and deep convolutional neural networksÖrnek, Ahmet Haydar; Ceylan, Murat ; Ervural, Saim
2020Heart Disease Detection from Neonatal Infrared Thermograms Using Multiresolution Features and Data AugmentationSavaşcı, Duygu; Ceylan, Murat ; Örnek, Ahmet Haydar; Konak, Murat; Soylu, Hanifi
2024Improving Explainability in CNN-Based Classification of Mask Images with HayCAM plus : An Enhanced Visual Explanation TechniqueÖrnek, Ahmet Haydar; Ceylan, Murat 
2021Mask Detection from Face Images Using Deep Learning and Transfer LearningÖrnek, Ahmet Haydar; Çelik, Mustafa; Ceylan, Murat 
2022Medical thermograms' classification using deep transfer learning models and methodsÖrnek, Ahmet Haydar; Ceylan, Murat 
2022Spectral-spatial classification for non-invasive health status detection of neonates using hyperspectral imaging and deep convolutional neural networksCihan, Mücahit; Ceylan, Murat ; Örnek, Ahmet Haydar
2019Yeni doğan bebeklerin termal görüntülerinin derin öğrenme yöntemleri ile sınıflandırılmasıÖrnek, Ahmet Haydar