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Frontiers in Human Neuroscience|April 4, 2013
Methodological considerations in longitudinal morphometry of traumatic brain injuryJunghoon Kim, Brian Avants, John Whyte, et al.Academic Radiology|November 11, 2008
Multivariate analysis of structural and diffusion imaging in traumatic brain injuryBrian Avants, Jeffrey T Duda, Junghoon Kim, et al.Neuroimage|November 15, 2007
Structural consequences of diffuse traumatic brain injury: a large deformation tensor-based morphometry studyJunghoon Kim, Brian Avants, Sunil Patel, et al.Journal of Neurotrauma|June 10, 2010
Resting cerebral blood flow alterations in chronic traumatic brain injury: an arterial spin labeling perfusion FMRI studyJunghoon Kim, John Whyte, Sunil Patel, et al.Neuroimage|October 27, 2004
Geodesic estimation for large deformation anatomical shape averaging and interpolationBrian Avants, James C GeeAlzheimer Disease and Associated Disorders|December 1, 2005
The correlation of cognitive decline with frontotemporal dementia induced annualized gray matter loss using diffeomorphic morphometryBrian Avants, Murray Grossman, James C GeeMedical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Integrated graph cuts for brain MRI segmentationZhuang Song, Nicholas Tustison, Brian Avants, et al.Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
Spatiotemporal normalization for longitudinal analysis of gray matter atrophy in frontotemporal dementiaBrian Avants, Chivon Anderson, Murray Grossman, et al.Human Brain Mapping|November 16, 2012
Logical circularity in voxel-based analysis: normalization strategy may induce statistical biasNicholas J Tustison, Brian B Avants, Philip A Cook, et al.Information Processing in Medical Imaging : Proceedings of the ... Conference|April 2, 2014
Predicting cognitive data from medical images using sparse linear regressionBenjamin M Kandel, David A Wolk, James C Gee, et al.Pageof 55