Department of Radiology

Publications

2020

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.

Sondhi D, Kaminsky SM, Hackett NR, Pagovich OE, Rosenberg JB, De BP, et al. Slowing late infantile Batten disease by direct brain parenchymal administration of a rh.10 adeno-associated virus expressing . Sci Transl Med. 2020;12(572).

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.

Wang Y, Prince MR. Quantitative Susceptibility Mapping Is Superior to T1-weighted Imaging for Detecting and Measuring Gadolinium. Radiology. 2020;297(1):151-153.

Deh K, Zaman M, Vedvyas Y, Liu Z, Gillen KM, Malley PO, et al. Validation of MRI quantitative susceptibility mapping of superparamagnetic iron oxide nanoparticles for hyperthermia applications in live subjects. Sci Rep. 2020;10(1):1171.

Han D, Shah S, Lee JH, Elmore K, Gransar H, Danad I, et al. An approach to evaluate myocardial perfusion defect assessment for projection-based DECT: A phantom study. Clin Imaging. 2020;63:10-15.

Bao Q, Ma L, Liberman G, Solomon E, Martinho RP, Frydman L. Dynamic T mapping by multi-spin-echo spatiotemporal encoding. Magn Reson Med. 2020;84(2):895-907.

Dyke JP, Xu HS, Verma A, Voss HU, J Chazen L. MRI characterization of early CNS transport kinetics post intrathecal gadolinium injection: Trends of subarachnoid and parenchymal distribution in healthy volunteers. Clin Imaging. 2020;68:1-6.

Kim H-, Park S, Rhee HY, Lee KM, Ryu C-, Lee SY, et al. Evaluation and Prediction of Early Alzheimer's Disease Using a Machine Learning-based Optimized Combination-Feature Set on Gray Matter Volume and Quantitative Susceptibility Mapping. Curr Alzheimer Res. 2020;17(5):428-437.