Department of Radiology

Publications

2022

Bhaduri S, Lesbats C, Sharkey J, Kelly CL, Mukherjee S, Taylor A, et al. Assessing Tumour Haemodynamic Heterogeneity and Response to Choline Kinase Inhibition Using Clustered Dynamic Contrast Enhanced MRI Parameters in Rodent Models of Glioblastoma. Cancers (Basel). 2022;14(5).

Li J, Nguyen TD, Zhang Q, Guo L, Wang Y. Cerebral Microbleeds Are Associated With Increased Brain Iron and Cognitive Impairment in Patients With Cerebral Small Vessel Disease: A Quantitative Susceptibility Mapping Study. J Magn Reson Imaging. 2022.

Bae J, Huang Z, Knoll F, Geras K, Sood TP, Feng L, et al. Estimation of the capillary level input function for dynamic contrast-enhanced MRI of the breast using a deep learning approach. Magn Reson Med. 2022;87(5):2536-2550.

Cohen DE, Sullivan KA, McNeil RB, McNeil RB, Ashford W, Bested A, et al. A common language for Gulf War Illness (GWI) research studies: GWI common data elements. Life Sci. 2022;290:119818.

Yang L, Cho J, Chen T, Gillen KM, Li J, Zhang Q, et al. Oxygen extraction fraction (OEF) assesses cerebral oxygen metabolism of deep gray matter in patients with pre-eclampsia. Eur Radiol. 2022.

Chiang GC, Cho J, Dyke J, Zhang H, Zhang Q, Tokov M, et al. Brain oxygen extraction and neural tissue susceptibility are associated with cognitive impairment in older individuals. J Neuroimaging. 2022.

Cho J, Nguyen TD, Huang W, Sweeney EM, Luo X, Kovanlikaya I, et al. Brain oxygen extraction fraction mapping in patients with multiple sclerosis. J Cereb Blood Flow Metab. 2022;42(2):338-348.

Kim J, Nguyen TD, Zhang J, Gauthier SA, Marcille M, Zhang H, et al. Subsecond accurate myelin water fraction reconstruction from FAST-T data with 3D UNET. Magn Reson Med. 2022;87(6):2979-2988.

Dimov AV, Nguyen TD, Spincemaille P, Sweeney EM, Zinger N, Kovanlikaya I, et al. Global cerebrospinal fluid as a zero-reference regularization for brain quantitative susceptibility mapping. J Neuroimaging. 2022;32(1):141-147.

Zhao W, Wang Y, Zhou F, Li G, Wang Z, Zhong H, et al. Automated Segmentation of Midbrain Structures in High-Resolution Susceptibility Maps Based on Convolutional Neural Network and Transfer Learning. Front Neurosci. 2022;16:801618.