Researcher interests: Quantitative magnetic resonance imaging (qMRI): developing methodologies to measure changes in local brain macromolecule volume and composition. Computing biophysical brain tissue characterizations; studies of the neural and cellular bases of development
FACULTY / SCHOOL: Faculty of Science
Selected Publications
subdividing the superior longitudinal fasciculus using local quantitative mri (2020)|
NeuroImage|
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disentangling molecular alterations from water content changes in the aging human brain using quantitative mri (2019)|
Nature Communications|
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tractography delineation of the vertical occipital fasciculus using quantitative t1 mapping (2019)|
NeuroImage|
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the robust and independent nature of structural sts asymmetries (2019)|
Brain Structure & Function|
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modeling conduction delays in the corpus callosum using mri measured g ratio (2019)|
NeuroImage|
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evaluating arcuate fasciculus laterality measurements across dataset and tractography pipelines (2019)|
Human Brain Mapping|
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diffusivity and quantitative t1 profile of human visual white matter tracts after retinal ganglion cell damage (2019)|
NeuroImage: Clinical|
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more than myelin probing white matter differences in prematurity with quantitative t1 and diffusion mri (2019)|
NeuroImage: Clinical|
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tractography optimization using quantitative t1 mapping in the human optic radiation (2018)|
NeuroImage|
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correction test retest reliability of myelin imaging in the human spinal cord measurement errors versus region and aging induced variations (2018)|
PLOS ONE|
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