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ORCIDCem Emre Akbas
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2020 – today
- 2020
[c7]Cem Emre Akbas, Michal Kozubek
:
Condensed U-Net (Cu-Net): An Improved U-Net Architecture for Cell Segmentation Powered by 4x4 Max-Pooling Layers. ISBI 2020: 446-450
2010 – 2019
- 2018
- [c6]Cem Emre Akbas, Vladimír Ulman, Martin Maska, Florian Jug, Michal Kozubek:
Automatic Fusion of Segmentation and Tracking Labels. ECCV Workshops (6) 2018: 446-454 - 2017
- [j1]Cem Emre Akbas, Osman Günay, Kasim Tasdemir, A. Enis Çetin:
Energy efficient cosine similarity measures according to a convex cost function. Signal Image Video Process. 11(2): 349-356 (2017) - [c5]Gokmen Can, Cem Emre Akbas, A. Enis Çetin:
Time-scale wavelet scattering using hyperbolic tangent function for vessel sound classification. EUSIPCO 2017: 1794-1798 - 2016
- [c4]Oguzhan Oguz, Cem Emre Akbas, Maen Mallah, Kasim Tasdemir, Ece Akhan Güzelcan, Christian Münzenmayer, Thomas Wittenberg, Aysegül Üner, A. Enis Çetin, Rengül Çetin-Atalay:
Mixture of learners for cancer stem cell detection using CD13 and H and E stained images. Digital Pathology 2016: 97910Y - [c3]Gokmen Can, Cem Emre Akbas, A. Enis Çetin:
Recognition of vessel acoustic signatures using non-linear teager energy based features. IWCIM 2016: 1-5 - 2015
- [c2]Cem Emre Akbas, Alican Bozkurt, A. Enis Çetin, Rengül Çetin-Atalay, Aysegul Uner:
Multiplication-free Neural Networks. SIU 2015: 2416-2418 - 2014
- [c1]Musa Tunç Arslan, Alican Bozkurt, Rasim Akin Sevimli, Cem Emre Akbas, Ahmet Enis Çetin:
Approximate computation of DFT without performing any multiplications: Application to radar signal processing. SIU 2014: 850-853 - [i2]Alican Bozkurt, Musa Tunç Arslan, Rasim Akin Sevimli, Cem Emre Akbas, A. Enis Çetin:
Approximate Computation of DFT without Performing Any Multiplications: Applications to Radar Signal Processing. CoRR abs/1402.0532 (2014) - [i1]Osman Günay, Cem Emre Akbas, A. Enis Çetin:
Cosine Similarity Measure According to a Convex Cost Function. CoRR abs/1410.6093 (2014)
Coauthor Index
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