Aysegül Üner

According to our database, Aysegül Üner authored at least 6 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Graph convolutional networks for region of interest classification in breast histopathology.

Bulut Aygünes, Selim Aksoy, Ramazan Gökberk Cinbis, Kemal Kösemehmetoglu, Sevgen Önder, Aysegül Üner

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Self-Supervised Learning with Graph Neural Networks for Region of Interest Retrieval in Histopathology.

Yigit Ozen, Selim Aksoy, Kemal Kösemehmetoglu, Sevgen Önder, Aysegül Üner

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2017

Automated cancer stem cell recognition in H and E stained tissue using convolutional neural networks and color deconvolution.

Wolfgang Aichinger, Sebastian Krappe, A. Enis Çetin, Rengül Çetin-Atalay, Aysegül Üner, Michaela Benz, Thomas Wittenberg, Marc Stamminger, Christian Münzenmayer

Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

2016

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

Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

2015

Multiplication-free Neural Networks.

Cem Emre Akbas, Alican Bozkurt, A. Enis Çetin, Rengül Çetin-Atalay, Aysegul Uner

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Detection of Cancer Stem Cells in microscopic images by using region covariance and codifference method.

Oguzhan Oguz, Christian Münzenmayer, Thomas Wittenberg, Aysegul Uner, A. Enis Çetin, Rengül Çetin-Atalay

Proceedings of the 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 2015