Department of Radiology

Publications

2018

Shetty T, Nguyen JT, Cogsil T, Tsiouris AJ, Niogi SN, Kim EU, et al. Clinical Findings in a Multicenter MRI Study of Mild TBI. Front Neurol. 2018;9:836.

Fuchs TA, Dwyer MG, Kuceyeski A, Choudhery S, Carolus K, Li X, et al. White matter tract network disruption explains reduced conscientiousness in multiple sclerosis. Hum Brain Mapp. 2018;39(9):3682-3690.

Bellat V, Ting R, Southard TL, Vahdat L, Molina H, Fernandez J, et al. Functional Peptide Nanofibers with Unique Tumor Targeting and Enzyme-Induced Local Retention Properties. Adv Funct Mater. 2018;28(44).

Dyke JP, Garfinkel AC, Groves AM, Kovanlikaya A. High-resolution rapid neonatal whole-body composition using 3.0 Tesla chemical shift magnetic resonance imaging. Pediatr Res. 2018;83(3):638-644.

Li J, Lin H, Liu T, Zhang Z, Prince MR, Gillen K, et al. Quantitative susceptibility mapping (QSM) minimizes interference from cellular pathology in R2* estimation of liver iron concentration. J Magn Reson Imaging. 2018;48(4):1069-1079.

Wen Y, Nguyen TD, Liu Z, Spincemaille P, Zhou D, Dimov A, et al. Cardiac quantitative susceptibility mapping (QSM) for heart chamber oxygenation. Magn Reson Med. 2018;79(3):1545-1552.

Takahashi H, Watanabe Y, Tanaka H, Mihara M, Mochizuki H, Liu T, et al. Quantifying changes in nigrosomes using quantitative susceptibility mapping and neuromelanin imaging for the diagnosis of early-stage Parkinson's disease. Br J Radiol. 2018;91(1086):20180037.

Lewczuk P, Riederer P, O'Bryant SE, Verbeek MM, Dubois B, Visser PJ, et al. Cerebrospinal fluid and blood biomarkers for neurodegenerative dementias: An update of the Consensus of the Task Force on Biological Markers in Psychiatry of the World Federation of Societies of Biological Psychiatry. World J Biol Psychiatry. 2018;19(4):244-328.

Gabr MT, F Pigge C. Rhenium Complexes of Bis(benzothiazole)-Based Tetraarylethylenes as Selective Luminescent Probes for Amyloid Fibrils. Chemistry. 2018;24(45):11729-11737.

Citak-Er F, Firat Z, Kovanlikaya I, Ture U, Ozturk-Isik E. Machine-learning in grading of gliomas based on multi-parametric magnetic resonance imaging at 3T. Comput Biol Med. 2018;99:154-160.