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Biblio
Found 12 results
Filters:
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.
2020
Liu Z
,
Wen Y
,
Spincemaille P
,
Zhang S
,
Yao Y
,
Nguyen TD
,
Wang Y
. 2020.
Automated adaptive preconditioner for quantitative susceptibility mapping.
.
Magn Reson Med. 83(1):271-285.
Zhang J
,
Liu Z
,
Zhang S
,
Zhang H
,
Spincemaille P
,
Nguyen TD
,
Sabuncu MR
,
Wang Y
. 2020.
Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction.
.
Neuroimage. 211:116579.
Zhang S
,
Chiang GChia-Yi
,
Knapp JMarion
,
Zecca CM
,
He D
,
Ramakrishna R
,
Magge RS
,
Pisapia DJ
,
Fine HAlan
,
Tsiouris AJohn
et al.
. 2020.
Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping.
.
J Neuroradiol. 47(4):272-277.
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
,
RĂșa 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.
Deh K
,
Ponath GD
,
Molvi Z
,
Parel G-CT
,
Gillen KM
,
Zhang S
,
Nguyen TD
,
Spincemaille P
,
Ma Y
,
Gupta A
et al.
. 2018.
Magnetic susceptibility increases as diamagnetic molecules breakdown: Myelin digestion during multiple sclerosis lesion formation contributes to increase on QSM.
.
J Magn Reson Imaging. 48(5):1281-1287.