Browsing by Keywords "Neuroimaging"

Now showing items 1-5 of 5

    • Accelerated phase-cycled SSFP imaging with compressed sensing 

      Çukur, T. (Institute of Electrical and Electronics Engineers Inc., 2015)
      Balanced steady-state free precession (SSFP) imaging suffers from irrecoverable signal losses, known as banding artifacts, in regions of large B0 field inhomogeneity. A common solution is to acquire multiple phase-cycled ...

    • All-fiber nanosecond laser system generating supercontinuum spectrum for photoacoustic imaging 

      Yavas, S.; Kipergil, E. A.; Akçaalan, Önder; Eldeniz, Y. Burak; Arabul, U.; Erkol H.; Unlu, M.B.; Ilday, F. Ömer (IEEE, 2013)
      Photoacoustic microscopy (PAM) research, as an imaging modality, has shown promising results in imaging angiogenesis and cutaneous malignancies like melanoma, revealing systemic diseases including diabetes, hypertension, ...

    • Color vision in humans and computers 

      Boyacı, Hüseyin; Akarun L. (IEEE, 2008)
      Humans and many other species rely on color for object recognition. What are the biological underpinnings of color vision and how can we computationally model human color perception? In this study we briefly summarize ...

    • Effect of visual stimuli with fearful emotional cue on population receptive field estimates 

      Yılmaz, Cemre (Bilkent University, 2019-07)
      Previous studies showed that the content of stimulus might affect the results of population receptive field (pRF) estimation method [1, 2, 3]. In addition, emotion might modulate visual processing in humans by increasing ...

    • The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) consortium: a collaborative cognitive and neuroimaging genetics project 

      Blokland, G. A. M.; Del Re, E. C.; Mesholam-Gately, R. I.; Jovicich, J.; Trampush, J. W.; Keshavan, M. S.; DeLisi, L. E.; Walters, J. T. R.; Turner, J. A.; Malhotra, A. K.; Lencz, T.; Shenton, M. E.; Voineskos, A. N.; Rujescu, D.; Giegling, I.; Kahn, R. S.; Roffman, J. L.; Holt, D. J.; Ehrlich, S.; Kikinis, Z.; Dazzan, P.; Murray, R. M.; Di Forti, M.; Lee, J.; Sim, K.; Lam, M.; Wolthusen, R. P. F.; De Zwarte, S. M. C.; Walton, E.; Cosgrove, D.; Kelly, S.; Maleki, N.; Osiecki, L.; Picchioni, M. M.; Bramon, E.; Russo, M.; David, A. S.; Mondelli, V.; Reinders, A. A. T. S.; Falcone, M. A.; Hartmann, A. M.; Konte, B.; Morris, D. W.; Gill, M.; Corvin, A. P.; Cahn, W.; Ho, N. F.; Liu, J. J.; Keefe, R. S. E.; Gollub, R. L.; Manoach, D. S.; Calhoun, V. D.; Schulz, S. C.; Sponheim, S. R.; Goff, D. C.; Buka, S. L.; Cherkerzian, S.; Thermenos, H. W.; Kubicki, M.; Nestor, P. G.; Dickie, E. W.; Vassos, E.; Ciufolini, S.; Marques, T. R.; Crossley, N. A.; Purcell, S. M.; Smoller, J. W.; Van Haren, N. E. M.; Toulopoulou, T.; Donohoe, G.; Goldstein, J. M.; Seidman, L. J.; McCarley, R. W.; Petryshen, T. L. (Elsevier B.V., 2018--05)
      Background: Schizophrenia has a large genetic component, and the pathways from genes to illness manifestation are beginning to be identified. The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia ...