Department of Radiology

Publications

2020

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).

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.

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.

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.

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.

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

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.

Bubu OM, Umasabor-Bubu OQ, Turner AD, Parekh A, Mullins AE, Kam K, et al. Self-reported obstructive sleep apnea, amyloid and tau burden, and Alzheimer's disease time-dependent progression. Alzheimers Dement. 2020.

Eich T, Parker D, Gazes Y, Razlighi Q, Habeck C, Stern Y. Towards an ontology of cognitive processes and their neural substrates: A structural equation modeling approach. PLoS One. 2020;15(2):e0228167.

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.