Martin Reuter

Summary

Affiliation: Harvard University
Country: USA

Publications

  1. pmc Automated MRI measures predict progression to Alzheimer's disease
    Rahul S Desikan
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, USA
    Neurobiol Aging 31:1364-74. 2010
  2. pmc Selective disruption of the cerebral neocortex in Alzheimer's disease
    Rahul S Desikan
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, United States of America
    PLoS ONE 5:e12853. 2010
  3. pmc The dynamics of cortical and hippocampal atrophy in Alzheimer disease
    Mert R Sabuncu
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, 02129, USA
    Arch Neurol 68:1040-8. 2011
  4. pmc A tale of two factors: what determines the rate of progression in Huntington's disease? A longitudinal MRI study
    H Diana Rosas
    Department of Neurology, Massachusetts General Hospital, Charlestown, Massachusetts, USA
    Mov Disord 26:1691-7. 2011
  5. pmc Within-subject template estimation for unbiased longitudinal image analysis
    Martin Reuter
    Massachusetts General Hospital Harvard Medical School, Boston, MA, USA
    Neuroimage 61:1402-18. 2012
  6. pmc Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data
    Jorge L Bernal-Rusiel
    Athinoula A Martinos Center for Biomedical Imaging, Harvard Medical School Massachusetts General Hospital, Charlestown, MA 02129, USA
    Neuroimage 81:358-70. 2013
  7. doi Blockface histology with optical coherence tomography: a comparison with Nissl staining
    Caroline Magnain
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Harvard Medical School, Charlestown, MA 02129, USA
    Neuroimage 84:524-33. 2014
  8. pmc Volumetric navigators for prospective motion correction and selective reacquisition in neuroanatomical MRI
    M Dylan Tisdall
    Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
    Magn Reson Med 68:389-99. 2012
  9. pmc Avoiding asymmetry-induced bias in longitudinal image processing
    Martin Reuter
    Martinos Center for Biomedical Imaging, Charlestown, MA 02129, USA
    Neuroimage 57:19-21. 2011

Collaborators

Detail Information

Publications9

  1. pmc Automated MRI measures predict progression to Alzheimer's disease
    Rahul S Desikan
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129, USA
    Neurobiol Aging 31:1364-74. 2010
    ....
  2. pmc Selective disruption of the cerebral neocortex in Alzheimer's disease
    Rahul S Desikan
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, United States of America
    PLoS ONE 5:e12853. 2010
    ..However, the precise relationship between pathologic changes in neocortical regions and hippocampal atrophy is largely unknown...
  3. pmc The dynamics of cortical and hippocampal atrophy in Alzheimer disease
    Mert R Sabuncu
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, 02129, USA
    Arch Neurol 68:1040-8. 2011
    ..To characterize rates of regional Alzheimer disease (AD)-specific brain atrophy across the presymptomatic, mild cognitive impairment, and dementia stages...
  4. pmc A tale of two factors: what determines the rate of progression in Huntington's disease? A longitudinal MRI study
    H Diana Rosas
    Department of Neurology, Massachusetts General Hospital, Charlestown, Massachusetts, USA
    Mov Disord 26:1691-7. 2011
    ..These findings suggest that other genetic, epigenetic, and environmental factors play important roles in neurodegeneration in Huntington's disease...
  5. pmc Within-subject template estimation for unbiased longitudinal image analysis
    Martin Reuter
    Massachusetts General Hospital Harvard Medical School, Boston, MA, USA
    Neuroimage 61:1402-18. 2012
    ..g. allowing for smaller sample sizes or shorter trials to establish disease specific biomarkers or to quantify drug effects...
  6. pmc Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data
    Jorge L Bernal-Rusiel
    Athinoula A Martinos Center for Biomedical Imaging, Harvard Medical School Massachusetts General Hospital, Charlestown, MA 02129, USA
    Neuroimage 81:358-70. 2013
    ..Our experiments revealed that ST-LME offers a dramatic gain in statistical power and repeatability of findings, while providing good control of the false positive rate. ..
  7. doi Blockface histology with optical coherence tomography: a comparison with Nissl staining
    Caroline Magnain
    Athinoula A Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Harvard Medical School, Charlestown, MA 02129, USA
    Neuroimage 84:524-33. 2014
    ..Given these data, we propose that SD-OCT can be used to reliably generate 3D reconstructions of multiple cubic centimeters of cortex that can be used to accurately and semi-automatically perform standard histological analyses. ..
  8. pmc Volumetric navigators for prospective motion correction and selective reacquisition in neuroanatomical MRI
    M Dylan Tisdall
    Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
    Magn Reson Med 68:389-99. 2012
    ..The complete system operates without adding additional hardware to the scanner and requires no external calibration, making it suitable for high-throughput environments...
  9. pmc Avoiding asymmetry-induced bias in longitudinal image processing
    Martin Reuter
    Martinos Center for Biomedical Imaging, Charlestown, MA 02129, USA
    Neuroimage 57:19-21. 2011
    ..In this note, we discuss common difficulties in longitudinal image processing, focusing on the introduction of bias, and describe the approaches we have taken to avoid them in the FreeSurfer longitudinal processing stream...