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 (IWCIM, 2015)

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)

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 (Digital Pathology, 2017)

Self-Supervised Learning with Graph Neural Networks for Region of Interest Retrieval in Histopathology. - Yigit Ozen; Selim Aksoy; Kemal Kösemehmetoglu; Sevgen Önder; Aysegül Üner (ICPR, 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 (Digital Pathology, 2020)