Now showing items 1-4 of 4

    • Image-Driven Population Analysis Through Mixture Modeling 

      Sabuncu, Mert R; Balci, Seda; Shenton, Martha Elizabeth; Golland, P. (Institute of Electrical & Electronics Engineers (IEEE), 2009)
      We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of the algorithm is a small number of template ...
    • Joint Registration and Clustering of Images 

      Sabuncu, Mert R; Shenton, Martha Elizabeth; Golland, Polina (Wiley, 2007)
      We demonstrate an EM-based algorithm that jointly registers and clusters a group of images using an affine transformation model. The output is a small number of prototype images that represent the different modes of the ...
    • Multidimensional heritability analysis of neuroanatomical shape 

      Ge, Tian; Reuter, Martin; Winkler, Anderson M.; Holmes, Avram J.; Lee, Phil H.; Tirrell, Lee S.; Roffman, Joshua L.; Buckner, Randy L.; Smoller, Jordan W.; Sabuncu, Mert R. (Nature Publishing Group, 2016)
      In the dawning era of large-scale biomedical data, multidimensional phenotype vectors will play an increasing role in examining the genetic underpinnings of brain features, behaviour and disease. For example, shape ...
    • Selective Disruption of the Cerebral Neocortex in Alzheimer's Disease 

      Desikan, Rahul S.; Schmansky, Nicholas J.; Cabral, Howard J.; Hess, Christopher P.; Weiner, Michael W.; Kemper, Thomas L.; Dale, Anders M.; Sabuncu, Mert R; the Alzheimer’s Disease Neuroimaging Initiative; Reuter, Martin; Biffi, Alessandro; Anderson, Christopher David; Rosand, Jonathan; Salat, David H.; Sperling, Reisa Anne; Fischl, Bruce R. (Public Library of Science, 2010)
      Background: Alzheimer's disease (AD) and its transitional state mild cognitive impairment (MCI) are characterized by amyloid plaque and tau neurofibrillary tangle (NFT) deposition within the cerebral neocortex and neuronal ...