Ramon Casanova

Summary

Publications

  1. pmc Relative differences in resting-state brain connectivity associated with long term intensive lifestyle intervention
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, NC, USA Electronic address
    Psychoneuroendocrinology 74:231-239. 2016
  2. pmc Classification of structural MRI images in Alzheimer's disease from the perspective of ill-posed problems
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine, North Carolina, United States of America
    PLoS ONE 7:e44877. 2012
  3. pmc High dimensional classification of structural MRI Alzheimer's disease data based on large scale regularization
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine Winston Salem, NC, USA
    Front Neuroinform 5:22. 2011
  4. pmc Alzheimer's disease risk assessment using large-scale machine learning methods
    Ramon Casanova
    Wake Forest School of Medicine, Winston Salem, North Carolina, United States of America
    PLoS ONE 8:e77949. 2013
  5. pmc Postmenopausal hormone therapy, type 2 diabetes mellitus, and brain volumes
    Mark A Espeland
    From the Departments of Biostatistical Sciences M A E, R C, Internal Medicine C H, S C, and Social Sciences and Health Policy L V, Wake Forest School of Medicine, Winston Salem, NC Departments of Pharmacology and Pharmaceutical Sciences, Biomedical Engineering, and Neurology R D B, University of Southern California, Los Angeles, CA Division of Preventive Medicine J E M, Brigham and Women s Hospital, Harvard Medical School, Boston, MA Departments of Epidemiology and Biostatistics, Psychiatry, and Neurology K Y, University of California, San Francisco Department of Internal Medicine B J E, The University of Texas MD Anderson Cancer Center, Houston, TX Department of Geriatric Medicine K M, University of Hawaii at Manoa, Honolulu, HI and Laboratory of Behavioral Neuroscience S M R, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD
    Neurology 85:1131-8. 2015
  6. pmc A Voxel-Based Morphometry Study Reveals Local Brain Structural Alterations Associated with Ambient Fine Particles in Older Women
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine Winston Salem, NC, USA
    Front Hum Neurosci 10:495. 2016
  7. pmc Influence of type 2 diabetes on brain volumes and changes in brain volumes: results from the Women's Health Initiative Magnetic Resonance Imaging studies
    Mark A Espeland
    Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, NC, USA
    Diabetes Care 36:90-7. 2013
  8. pmc Application of random forests methods to diabetic retinopathy classification analyses
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, North Carolina, United States of America
    PLoS ONE 9:e98587. 2014
  9. pmc Blood metabolite markers of preclinical Alzheimer's disease in two longitudinally followed cohorts of older individuals
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, NC, USA
    Alzheimers Dement 12:815-22. 2016
  10. pmc Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, North Carolina, United States of America
    PLoS ONE 11:e0163942. 2016

Detail Information

Publications11

  1. pmc Relative differences in resting-state brain connectivity associated with long term intensive lifestyle intervention
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, NC, USA Electronic address
    Psychoneuroendocrinology 74:231-239. 2016
    ..Future studies are needed to determine if these differences are associated with age-related compensatory function in the ILI group or worse pathology in the control group...
  2. pmc Classification of structural MRI images in Alzheimer's disease from the perspective of ill-posed problems
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine, North Carolina, United States of America
    PLoS ONE 7:e44877. 2012
    ..In addition, to avoid the effects of the "curse of dimensionality" very often dimension reduction is applied to the data...
  3. pmc High dimensional classification of structural MRI Alzheimer's disease data based on large scale regularization
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine Winston Salem, NC, USA
    Front Neuroinform 5:22. 2011
    ..Although we have demonstrated the efficacy of this voxel-wise classification method in discriminating cognitive normal subjects from AD patients, in principle it could be applied to any clinical population...
  4. pmc Alzheimer's disease risk assessment using large-scale machine learning methods
    Ramon Casanova
    Wake Forest School of Medicine, Winston Salem, North Carolina, United States of America
    PLoS ONE 8:e77949. 2013
    ....
  5. pmc Postmenopausal hormone therapy, type 2 diabetes mellitus, and brain volumes
    Mark A Espeland
    From the Departments of Biostatistical Sciences M A E, R C, Internal Medicine C H, S C, and Social Sciences and Health Policy L V, Wake Forest School of Medicine, Winston Salem, NC Departments of Pharmacology and Pharmaceutical Sciences, Biomedical Engineering, and Neurology R D B, University of Southern California, Los Angeles, CA Division of Preventive Medicine J E M, Brigham and Women s Hospital, Harvard Medical School, Boston, MA Departments of Epidemiology and Biostatistics, Psychiatry, and Neurology K Y, University of California, San Francisco Department of Internal Medicine B J E, The University of Texas MD Anderson Cancer Center, Houston, TX Department of Geriatric Medicine K M, University of Hawaii at Manoa, Honolulu, HI and Laboratory of Behavioral Neuroscience S M R, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD
    Neurology 85:1131-8. 2015
    ..To examine whether the effect of postmenopausal hormone therapy (HT) on brain volumes in women aged 65-79 years differs depending on type 2 diabetes status during postintervention follow-up of a randomized controlled clinical trial...
  6. pmc A Voxel-Based Morphometry Study Reveals Local Brain Structural Alterations Associated with Ambient Fine Particles in Older Women
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine Winston Salem, NC, USA
    Front Hum Neurosci 10:495. 2016
    ..5, this is the first neuroimaging study reporting associations between air pollution exposure and smaller volumes of cortical GM. Our data support the hypothesized synaptic neurotoxicity of airborne particles...
  7. pmc Influence of type 2 diabetes on brain volumes and changes in brain volumes: results from the Women's Health Initiative Magnetic Resonance Imaging studies
    Mark A Espeland
    Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, NC, USA
    Diabetes Care 36:90-7. 2013
    ..To study how type 2 diabetes adversely affects brain volumes, changes in volume, and cognitive function...
  8. pmc Application of random forests methods to diabetic retinopathy classification analyses
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, North Carolina, United States of America
    PLoS ONE 9:e98587. 2014
    ..DR is a silent disease that may go unnoticed until it is too late for effective treatment. Therefore, early detection could improve the chances of therapeutic interventions that would alleviate its effects...
  9. pmc Blood metabolite markers of preclinical Alzheimer's disease in two longitudinally followed cohorts of older individuals
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, NC, USA
    Alzheimers Dement 12:815-22. 2016
    ..92, sensitivity/specificity of 90%/90%)...
  10. pmc Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, North Carolina, United States of America
    PLoS ONE 11:e0163942. 2016
    ..This work shows the potential of RF for incident diabetes prediction while dealing with high-dimensional data...
  11. pmc Application of machine learning methods to describe the effects of conjugated equine estrogens therapy on region-specific brain volumes
    Ramon Casanova
    Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston Salem, NC, USA
    Magn Reson Imaging 29:546-53. 2011
    ..6 years is associated with lower regional brain volumes, but it does not induce a characteristic spatial pattern of changes in brain volumes of sufficient magnitude to discriminate users and nonusers...