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John Muschelli

Showing results (41-50 of 80) with videos related to

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Biostatistics (Oxford, England)|February 18, 2020
Corrigendum to: Neuroconductor: an R platform for medical imaging analysisJohn Muschelli, Adrian Gherman, Jean-Philippe Fortin, et al.
Biostatistics (Oxford, England)|January 12, 2018
Neuroconductor: an R platform for medical imaging analysisJohn Muschelli, Adrian Gherman, Jean-Philippe Fortin, et al.
Frontiers in Neuroscience|November 25, 2016
Reproducibility and Bias in Healthy Brain Segmentation: Comparison of Two Popular Neuroimaging PlatformsDana L Tudorascu, Helmet T Karim, Jacob M Maronge, et al.
Journal of Child Neurology|September 10, 2015
Neural Correlates of Visuomotor Learning in AutismElizabeth Sharer, Deana Crocetti, John Muschelli, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|April 18, 2022
Bayesian deep learning outperforms clinical trial estimators of intracerebral and intraventricular hemorrhage volumeMatthew F Sharrock, W Andrew Mould, Meghan Hildreth, et al.
Neuroimage. Clinical|December 23, 2015
Relating multi-sequence longitudinal intensity profiles and clinical covariates in incident multiple sclerosis lesionsElizabeth M Sweeney, Russell T Shinohara, Blake E Dewey, et al.
Infection Control and Hospital Epidemiology|November 15, 2011
Epidemiology of central line-associated bloodstream infections in the pediatric intensive care unitMatthew F Niedner, W Charles Huskins, Elizabeth Colantuoni, et al.
Psychiatry Research|August 15, 2015
Motor overflow in children with attention-deficit/hyperactivity disorder is associated with decreased extent of neural activation in the motor cortexAndrew Gaddis, Keri S Rosch, Benjamin Dirlikov, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|March 9, 2018
MIMoSA: An Automated Method for Intermodal Segmentation Analysis of Multiple Sclerosis Brain LesionsAlessandra M Valcarcel, Kristin A Linn, Simon N Vandekar, et al.
Neuroimage. Clinical|November 5, 2018
A dual modeling approach to automatic segmentation of cerebral T2 hyperintensities and T1 black holes in multiple sclerosisAlessandra M Valcarcel, Kristin A Linn, Fariha Khalid, et al.
Pageof 8

Showing results (41-50 of 80) with videos related to

Sort By:
Pageof 8
Biostatistics (Oxford, England)|February 18, 2020
Corrigendum to: Neuroconductor: an R platform for medical imaging analysisJohn Muschelli, Adrian Gherman, Jean-Philippe Fortin, et al.
Biostatistics (Oxford, England)|January 12, 2018
Neuroconductor: an R platform for medical imaging analysisJohn Muschelli, Adrian Gherman, Jean-Philippe Fortin, et al.
Frontiers in Neuroscience|November 25, 2016
Reproducibility and Bias in Healthy Brain Segmentation: Comparison of Two Popular Neuroimaging PlatformsDana L Tudorascu, Helmet T Karim, Jacob M Maronge, et al.
Journal of Child Neurology|September 10, 2015
Neural Correlates of Visuomotor Learning in AutismElizabeth Sharer, Deana Crocetti, John Muschelli, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|April 18, 2022
Bayesian deep learning outperforms clinical trial estimators of intracerebral and intraventricular hemorrhage volumeMatthew F Sharrock, W Andrew Mould, Meghan Hildreth, et al.
Neuroimage. Clinical|December 23, 2015
Relating multi-sequence longitudinal intensity profiles and clinical covariates in incident multiple sclerosis lesionsElizabeth M Sweeney, Russell T Shinohara, Blake E Dewey, et al.
Infection Control and Hospital Epidemiology|November 15, 2011
Epidemiology of central line-associated bloodstream infections in the pediatric intensive care unitMatthew F Niedner, W Charles Huskins, Elizabeth Colantuoni, et al.
Psychiatry Research|August 15, 2015
Motor overflow in children with attention-deficit/hyperactivity disorder is associated with decreased extent of neural activation in the motor cortexAndrew Gaddis, Keri S Rosch, Benjamin Dirlikov, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|March 9, 2018
MIMoSA: An Automated Method for Intermodal Segmentation Analysis of Multiple Sclerosis Brain LesionsAlessandra M Valcarcel, Kristin A Linn, Simon N Vandekar, et al.
Neuroimage. Clinical|November 5, 2018
A dual modeling approach to automatic segmentation of cerebral T2 hyperintensities and T1 black holes in multiple sclerosisAlessandra M Valcarcel, Kristin A Linn, Fariha Khalid, et al.
Pageof 8