Department of Radiology

Publications

2020

Zhang S, Chiang GC, Knapp JM, Zecca CM, He D, Ramakrishna R, et al. Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping. J Neuroradiol. 2020;47(4):272-277.

Poston KL, Cruadhlaoich MA, Santoso LF, Bernstein JD, Liu T, Wang Y, et al. Substantia Nigra Volume Dissociates Bradykinesia and Rigidity from Tremor in Parkinson's Disease: A 7 Tesla Imaging Study. J Parkinsons Dis. 2020;10(2):591-604.

Vedvyas Y, McCloskey JE, Yang Y, Min IM, Fahey TJ, Zarnegar R, et al. Publisher Correction: Manufacturing and preclinical validation of CAR T cells targeting ICAM-1 for advanced thyroid cancer therapy. Sci Rep. 2020;10(1):12733.

Akerele MI, Karakatsanis NA, Deidda D, Cal-Gonzalez J, Forsythe RO, Dweck MR, et al. Comparison of Correction Techniques for the Spill in Effect in Emission Tomography. IEEE Trans Radiat Plasma Med Sci. 2020;4(4):422-432.

Zhang J, Liu Z, Zhang S, Zhang H, Spincemaille P, Nguyen TD, et al. Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction. Neuroimage. 2020;211:116579.

Schneider M, Benkert T, Solomon E, Nickel D, Fenchel M, Kiefer B, et al. Free-breathing fat and R * quantification in the liver using a stack-of-stars multi-echo acquisition with respiratory-resolved model-based reconstruction. Magn Reson Med. 2020;84(5):2592-2605.

Wu N, Phang J, Park J, Shen Y, Huang Z, Zorin M, et al. Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. IEEE Trans Med Imaging. 2020;39(4):1184-1194.

Carare RO, Aldea R, Agarwal N, Bacskai BJ, Bechman I, Boche D, et al. Clearance of interstitial fluid (ISF) and CSF (CLIC) group-part of Vascular Professional Interest Area (PIA): Cerebrovascular disease and the failure of elimination of Amyloid-β from the brain and retina with age and Alzheimer's disease-Opportunities for. Alzheimers Dement (Amst). 2020;12(1):e12053.

Du B, Tung C-. Enzyme-Assisted Photodynamic Therapy Based on Nanomaterials. ACS Biomater Sci Eng. 2020;6(5):2506-2517.

Tozlu C, Edwards D, Boes A, Labar D, K Tsagaris Z, Silverstein J, et al. Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke. Neurorehabil Neural Repair. 2020;34(5):428-439.