HANOLISTIC: A Hierarchical Automatic Image Annotation System Using Holistic Approach. - Özge Öztimur Karadag; Fatos T. Yarman-Vural (CVPR Workshops, 2009)

Semantic image segmentation with Markov Random Fields. - Özge Öztimur Karadag; Fatos T. Yarman-Vural (SIU, 2012)

MRF Based Image Segmentation Augmented with Domain Specific Information. - Özge Öztimur Karadag; Fatos T. Yarman-Vural (ICIAP (2), 2013)

Fusion of Image Segmentations under Markov, Random Fields. - Özge Öztimur Karadag; Fatos T. Yarman-Vural (ICPR, 2014)

Segmentation and decision fusion for building detection. - Özge Öztimur Karadag; Çaglar Senaras; Fatos T. Yarman-Vural (IGARSS, 2014)

Image segmentation by fusion of low level and domain specific information via Markov Random Fields. - Özge Öztimur Karadag; Fatos T. Yarman-Vural (Pattern Recognit. Lett., 2014)

Fusion of image segmentation with domain specific information under an unsupervised markov random fields model ; Markov rasgele alanları aracılığı ile anlam bilgisi ve imge bölütlemenin birleştirilmesi. - Özge Öztimur Karadag (2014)

An MRF framework for co-solving image segmentation and border ownership. - Özge Öztimur Karadag; Mehmet Akif Akkus; Sinan Kalkan; Fatos T. Yarman-Vural (SIU, 2015)

Segmentation Fusion for Building Detection Using Domain-Specific Information. - Özge Öztimur Karadag; Çaglar Senaras; Fatos T. Yarman-Vural (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Evaluation of the robustness of deep features on the change detection problem. - Özge Öztimur Karadag; Ozlem Erdas (SIU, 2018)

Imitating by Generating: Deep Generative Models for Imitation of Interactive Tasks. - Judith Bütepage; Ali Ghadirzadeh; Özge Öztimur Karadag; Mårten Björkman; Danica Kragic (Frontiers Robotics AI, 2020)

An Evaluation of the Layers of a Deep Network on the Optical Character Recognition Problem. - Rahmani Saygin; Özge Öztimur Karadag (SIU, 2021)

An adversarial framework for open-set human action recognition using skeleton data. - Özge Öztimur Karadag (Turkish J. Electr. Eng. Comput. Sci., 2021)

Act-VIT: A Representationally Robust Attention Architecture for Skeleton Based Action Recognition Using Vision Transformer. - Özge Öztimur Karadag (CoRR, 2023)

Comparative Analysis of Vision Transformers and Morphological Approaches for Ki-67 Index Estimation on Histopathologic Images: An Experimental Evaluation. - Ahmet Sezer Akdeniz; Berkan Özgür; Emre Sahin; Özge Öztimur Karadag; Özlem Ceren Günizi (SIU, 2024)

SkelResNet: Transfer Learning Approach for Skeleton-Based Action Recognition. - Ugur Kiliç; Özge Öztimur Karadag; Gülsah Tümüklü Özyer (SIU, 2024)

SkelVIT: consensus of vision transformers for a lightweight skeleton-based action recognition system. - Özge Öztimur Karadag (Signal Image Video Process., 2024)

AGMS-GCN: Attention-guided multi-scale graph convolutional networks for skeleton-based action recognition. - Ugur Kiliç; Özge Öztimur Karadag; Gulsah Tumuklu Ozyer (Knowl. Based Syst., 2025)