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.

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.

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.

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.

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.

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.