Externally funded projects:

  • TUBITAK 121E080: Deep learning-enabled crowd density estimation for cell analysis in digital pathology and characterization of homologous recombination deficiency in high-grade ovarian serous carcinoma, 2021-2024, Principal Investigator.

  • TUBITAK 220N354: Fully convolutional networks for semantic segmentation using 3D fractal and Poincare maps, 2021-2023, Principal Investigator (joint project).

  • TUBITAK 120E497: Shape-preserving deep neural networks for instance segmentation in medical images, 2021-2023, Principal Investigator.

  • ETechPatho: Enabling technologies for digital pathology, 2017-2021, Investigator and Collaborator, joint research project with Fraunhofer Institute for Integrated Circuits IIS.

  • TUBITAK 116E075: Deep learning for histopathological image analysis, 2017-2019, Principal Investigator.

  • TUBITAK 213E032: Automatic identification of cancer stem cell ratio in cancerous tissue microscopic images and software development for clinical use, 2014-2016, Investigator and Collaborator.

  • TUBITAK 110E232: Content-based retrieval of histopathological images using relational tissue graphs, 2011-2013, Principal Investigator.

  • TUBITAK 109E206: Intelligent system design for automated classification and indexing of cell deaths in cancerous cell cultures and image based anticancer drug screening method development, 2010-2012, Principal Investigator.

  • TUBITAK 106E118: Biocomputational cancer modeling and intelligent medical decision-making system design for objective cancer diagnosis and grading, 2007-2010, Principal Investigator.