SkipVis: A skip graph visualizer. - Yahya Hassanzadeh-Nazarabadi; Canberk Ekmekci; Esin Menceloglu; Öznur Özkasap (SIU, 2018)

Model-Based Bayesian Deep Learning Architecture for Linear Inverse Problems in Computational Imaging. - Canberk Ekmekci; Müjdat Çetin (Computational Imaging, 2021)

What Does Your Computational Imaging Algorithm Not Know?: A Plug-and-Play Model Quantifying Model Uncertainty. - Canberk Ekmekci; Müjdat Çetin (ICCVW, 2021)

Uncertainty Quantification for Deep Unrolling-Based Computational Imaging. - Canberk Ekmekci; Müjdat Çetin (IEEE Trans. Computational Imaging, 2022)

Automatic parameter tuning for plug-and-play algorithms using generalized cross validation and Stein's unbiased risk estimation for linear inverse problems in computational imaging. - Canberk Ekmekci; Müjdat Çetin (Computational Imaging, 2023)

Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification. - Canberk Ekmekci; Tekin Bicer; Zichao Wendy Di; Junjing Deng; Müjdat Çetin (CoRR, 2024)

Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging. - Canberk Ekmekci; Müjdat Çetin (CoRR, 2025)