Department of Radiology

Publications

2020

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.

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.

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.

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.

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.

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.