Neurology
Found 6 results
Filters: Keyword is Middle Aged and Author is Zhang, Shun  [Clear All Filters]
2022
Cho J, Nguyen TD, Huang W, Sweeney EM, Luo X, Kovanlikaya I, Zhang S, Gillen KM, Spincemaille P, Gupta A et al..  2022.  Brain oxygen extraction fraction mapping in patients with multiple sclerosis.. J Cereb Blood Flow Metab. 42(2):338-348.
2021
Sweeney EM, Nguyen TD, Kuceyeski A, Ryan SM, Zhang S, Zexter L, Wang Y, Gauthier SA.  2021.  Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging.. Neuroimage. 225:117451.
Gillen KM, Mubarak M, Park C, Ponath G, Zhang S, Dimov A, Levine-Ritterman M, Toro S, Huang W, Amici S et al..  2021.  QSM is an imaging biomarker for chronic glial activation in multiple sclerosis lesions.. Ann Clin Transl Neurol. 8(4):877-886.
2019
Spincemaille P, Liu Z, Zhang S, Kovanlikaya I, Ippoliti M, Makowski M, Watts R, de Rochefort L, Venkatraman V, Desmond P et al..  2019.  Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi-Site Reproducibility and Single-Site Robustness.. J Neuroimaging. 29(6):689-698.
Zhang S, Chiang GChia-Yi, Magge RS, Fine HAlan, Ramakrishna R, Chang EWang, Pulisetty T, Wang Y, Zhu W, Kovanlikaya I.  2019.  MRI based texture analysis to classify low grade gliomas into astrocytoma and 1p/19q codeleted oligodendroglioma.. Magn Reson Imaging. 57:254-258.
Kaunzner UW, Kang Y, Zhang S, Morris E, Yao Y, Pandya S, Rúa SMHurtado, Park C, Gillen KM, Nguyen TD et al..  2019.  Quantitative susceptibility mapping identifies inflammation in a subset of chronic multiple sclerosis lesions.. Brain. 142(1):133-145.