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Publications

Found 6 results
Author Title [ Type(Desc)] Year
Filters: Author is Wang, Yi  [Clear All Filters]
Journal Article
Lange CJ, Thimmappa NDeepa, Boddu SR, Dutruel SP, Pei M, Farooq Z, Behzadi AHeshmatzad, Wang Y, Zabih R, Prince MR.  2017.  Automating Perforator Flap MRA and CTA Reporting.. J Digit Imaging. 30(3):350-357.
Wang Y, Spincemaille P, Liu Z, Dimov A, Deh K, Li J, Zhang Y, Yao Y, Gillen KM, Wilman AH et al..  2017.  Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care.. J Magn Reson Imaging. 46(4):951-971.
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.
Ebani EJ, Kaplitt MG, Wang Y, Nguyen TD, Askin G, J Chazen L.  2020.  Improved targeting of the globus pallidus interna using quantitative susceptibility mapping prior to MR-guided focused ultrasound ablation in Parkinson's disease.. Clin Imaging. 68:94-98.
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.
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.