Approximate computation of DFT without performing any multiplications: Application to radar signal processing. - Musa Tunç Arslan; Alican Bozkurt; Rasim Akin Sevimli; Cem Emre Akbas; Ahmet Enis Çetin (SIU, 2014)

Approximate Computation of DFT without Performing Any Multiplications: Applications to Radar Signal Processing. - Alican Bozkurt; Musa Tunç Arslan; Rasim Akin Sevimli; Cem Emre Akbas; A. Enis Çetin (CoRR, 2014)

Cosine Similarity Measure According to a Convex Cost Function. - Osman Günay; Cem Emre Akbas; A. Enis Çetin (CoRR, 2014)

Multiplication-free Neural Networks. - Cem Emre Akbas; Alican Bozkurt; A. Enis Çetin; Rengül Çetin-Atalay; Aysegul Uner (SIU, 2015)

Mixture of learners for cancer stem cell detection using CD13 and H and E stained images. - Oguzhan Oguz; Cem Emre Akbas; Maen Mallah; Kasim Tasdemir; Ece Akhan Güzelcan; Christian Münzenmayer; Thomas Wittenberg; Aysegül Üner; A. Enis Çetin; Rengül Çetin-Atalay (Digital Pathology, 2016)

Recognition of vessel acoustic signatures using non-linear teager energy based features. - Gokmen Can; Cem Emre Akbas; A. Enis Çetin (IWCIM, 2016)

Time-scale wavelet scattering using hyperbolic tangent function for vessel sound classification. - Gokmen Can; Cem Emre Akbas; A. Enis Çetin (EUSIPCO, 2017)

Energy efficient cosine similarity measures according to a convex cost function. - Cem Emre Akbas; Osman Günay; Kasim Tasdemir; A. Enis Çetin (Signal Image Video Process., 2017)

Automatic Fusion of Segmentation and Tracking Labels. - Cem Emre Akbas; Vladimír Ulman; Martin Maska; Florian Jug; Michal Kozubek 001 (ECCV Workshops (6), 2018)

Condensed U-Net (Cu-Net): An Improved U-Net Architecture for Cell Segmentation Powered by 4x4 Max-Pooling Layers. - Cem Emre Akbas; Michal Kozubek 001 (ISBI, 2020)

DeepFuse: A multi-rater fusion and refinement network for computing silver-standard annotations. - Cem Emre Akbas; Vladimír Ulman; Martin Maska; Michal Kozubek 001 (Comput. Biol. Medicine, 2025)