Neurology
Found 8 results
Filters: Author is Zhang, Shun and Keyword is Male  [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.
Zhang S, Chiang GChia-Yi, Magge RS, Fine HAlan, Ramakrishna R, Chang EWang, Pulisetty T, Wang Y, Zhu W, Kovanlikaya I.  2019.  Texture analysis on conventional MRI images accurately predicts early malignant transformation of low-grade gliomas.. Eur Radiol. 29(6):2751-2759.
2018
Zhang S, Nguyen TD, Zhao Y, Gauthier SA, Wang Y, Gupta A.  2018.  Diagnostic accuracy of semiautomatic lesion detection plus quantitative susceptibility mapping in the identification of new and enhancing multiple sclerosis lesions.. Neuroimage Clin. 18:143-148.