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Optics / Neuroscience / Scale-invariant feature transform / Image processing / Voxel-based morphometry / Spatial normalization / Cingulate cortex / NeuroImage / Scale space / Computer vision / Neuroimaging / Vision


Feature-based morphometry: Discovering group-related anatomical patterns
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Document Date: 2012-11-22 10:30:37

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Schmansky / Balci / Montréal / Scahill / Fox / Boston / New York / Voxel / Stuttgart / Rapoport / Weigand / /

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ARTICLE IN PRESS / Ci / Jepson / AD / Rohr / C. Model / Kendall / IEEE Intl / Elsevier Inc. / Hess / Carneiro / Stephens / Regis / Przybelski S.A. / Surgical Planning Laboratory / John Wiley & Sons / /

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United States / Canada / /

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FDA Phase / /

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Artificial Intelligence Laboratory / Montréal Neurological Institute / Women's Hospital / Massachusetts Institute of Technology / reflect stable / McGill University / /

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IndustryTerm

nonlinear deformation algorithms / pre-processing steps / cerebral imaging / subject / Registration algorithms / registration solutions / biological vision systems / particular imaging device / data-driven learning algorithm / learning algorithm / /

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set 150 / /

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Harvard Medical School / Massachusetts Institute of Technology / Boston / McGill University / Montréal Neurological Institute / Centre for Intelligent Machines / Women's Hospital / Artificial Intelligence / USA Computer Science and Artificial Intelligence Laboratory / McConnell Brain Imaging Centre / /

Person

Roland / Tal Arbel / Miller / Kadir / Ai / Georg Thieme Verlag / Jack Jr / Blezek / Matthew Toews / Brady / Louis Collins / William Wells III / /

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D.J. / Corresponding author / Bishop / using Fisher / Gaussian derivative model for spatial vision / /

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classification / /

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C / /

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New Jersey / Quebec / S.K. / New York / South Dakota / Rhode Island / North Carolina / Massachusetts / /

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3-D / Machine learning / MRI / Registration algorithms / learning algorithm / 14 nonlinear deformation algorithms / automatic / data-driven learning algorithm / Medical Imaging / /

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