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Phd. Student in Deep Learning for Medical Images Dr. İlkay Öksüz oksuzilkay@gmail.com Institute We offer a funded PhD. scholarships on Medical Image Acquisition and Reconstruction at the National Magnetic Resonance Center. The position will be based in Bilkent University National Magnetic Resonance Research Center (UMRAM) under supervision of Prof. Dr. Tolga Çukur. The position holder […]

Prolonged exposure to a certain size stimulus alters the perceived size of a subsequently presented stimulus at the same location. How the rest of the visual space is affected by this size adaptation, however, has not been systematically studied before. In this study, Altan & Boyaci tested size adaptation at the adapter location as well […]

Hussain A Jaber, Ilyas Çankaya, Hadeel K Aljobouri, Orhan M Koçak and Oktay Algin have published a new article titled ”Optimal Model-Free Approach Based on MDL and CHL for Active Brain Identification in fMRI Data Analysis”. Abstract Background: Cluster analysis is a robust tool for exploring the underlining structures in data and grouping them with […]

Ecrin Yagiz, Ahmet Rahmetullah Cagil, and Emine Ulku Saritas have published an article titled “Non-ideal Selection Field Induced Artifacts in X-Space MPI” in International Journal on Magnetic Particle Imaging. Magnetic Particle Imaging (MPI) is an emerging medical imaging modality that images the spatial distribution of superparamagnetic iron oxide (SPIO) nanoparticles using their nonlinear response to […]

Our faculty member Burcu Ayşen Ürgen published a new paper titled “A parietal region processing numerosity of observed actions: An fMRI study”  in European Journal of Neuroscience. The other authors of the paper are Hiromasa Sawamura from University of Tokyo (Japan), Guy A. Orban from University of Parma (Italy), and Daniele Corbo from University of […]