Group members

Current members:


Onur Caki
PhD student, Koc University
Selahattin Cansiz
PhD student, Koc University
Fatma Ulkem Kasapoglu
PhD student, Koc University
Soner Koc
PhD student, Koc University

Seher Ozcelik
PhD student, Koc University
Dilek Ozkan, MD
PhD student, Koc University
Berke Levent Cesur
MS student, Koc University
Mehmet Bahadir Erden
MS student, Koc University

Muhammet Nusret Ozates
MS student, Koc University

Previous members:

  • Dr. Can Taylan Sari, Bilkent University, PhD thesis: Deep learning for digitial pathology,” Nov 2020. [Upon successful defense of his Ph.D. thesis work, Dr. Sari received a postdoctoral research followship from Harvard Medical School.]

  • Dr. Can Fahrettin Koyuncu, Bilkent University, PhD thesis: “Automated cell analysis in microscopy images,” Sep 2018. MS thesis: “Smart markers for watershed-based cell segmentation,” Sep 2012. [Upon successful defense of his Ph.D. thesis work, Dr. Koyuncu received a postdoctoral research fellowship from Case Western Reserve University.]

  • Dr. Akif Burak Tosun, Bilkent University, PhD thesis: “Object-oriented texture analysis and unsupervised segmentation of histopathological images,” Aug 2012. [Upon successful defense of his Ph.D. thesis work, Dr. Tosun received a postdoctoral research fellowship from Carnegie Mellon University.]

  • Aziza Saber Jabdaragh, Bilkent University, MS thesis: “Multi-task network for computed tomography segmentation through fractal dimension,” Jan 2023.

  • Haya Shamim Khan Khattak, Bilkent University, MS thesis: “Anatomic context-aware segmentation of organs-at-risk in thorax computed tomography scans,” Dec 2022.

  • Selahatin Cansiz, Bilkent University, MS thesis: “FourierNet: Shape-preserving network for Henle’s fiber layer segmentation in optical coherence tomography images,” Sep 2022.

  • Furkan Huseyin, Bilkent University, MS thesis: “Shape-preserving loss in deep learning for cell segmentation,” Jul 2020.

  • Gozde Nur Gunesli, Bilkent University, MS thesis: “Boosting fully convolutional networks for gland instance segmentation in histopathological images,” Aug 2019.

  • Soner Koc, Bilkent University, MS thesis: “Deep convolutional network for tumor bud detection,” Apr 2019 (co-supervised with S. Aksoy).

  • Simge Yucel, Bilkent University, MS thesis: “Rule based segmentation of colon glands,” Sep 2018.

  • Deniz Dogan, Bilkent University, MS thesis: “Deep learning based cell segmentation in histopathological images,” Aug 2018.

  • Troya Cagil Koylu, Bilkent University, MS thesis: “Deep learning based unsupervised tissue segmentation in histopathological images,” Nov 2017.

  • Tunc Gultekin, Bilkent University, MS thesis: “Two-tier tissue decomposition for histopathological image representation and classification,” Apr 2014.

  • Gulden Olgun, Bilkent University, MS thesis: “Local object patterns for tissue image representation and cancer classification,” Jul 2013.

  • Salim Arslan, Bilkent University, MS thesis: “Perceptual nucleus segmentation for fluorescence microscopy imaging,” Aug 2012.

  • Erdem Ozdemir, Bilkent University, MS thesis: “Resampling-based Markovian modeling for automated cancer diagnosis,” Aug 2011.

  • Celal Cigir, Bilkent University, MS thesis: “Histopathological image classification using salient point patterns,” Aug 2011.

  • Ahmet Cagrı Simsek, Bilkent University, MS thesis: “Multilevel cluster ensembling for histopathological image segmentation,” Aug 2011 (co-supervised with C. Aykanat).

  • Dogan Altunbay, Bilkent University, MS thesis: “Color graph representation for structural analysis of tissue images,” Jul 2010.

  • Suleyman Tuncer Erdogan, Bilkent University, MS thesis: “Constrained Delaunay triangulation for diagnosis and grading of colon cancer,” Jul 2009.

  • Mumin Cebe, Bilkent University, MS thesis: “Qualitative test-cost sensitive classification,” Aug 2008.

  • Melih Kandemir, Bilkent University, MS thesis: “Segmentation of colon glands by object graphs,” Aug 2008.