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Biblio
Found 120 results
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Brain Mapping
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2023
Li G, Tong R, Zhang M, Gillen KM, Jiang W, Du Y, Wang Y, Li J
. 2023.
Age-dependent changes in brain iron deposition and volume in deep gray matter nuclei using quantitative susceptibility mapping.
.
Neuroimage. 269:119923.
Zhang Q, Sui C, Cho J, Yang L, Chen T, Guo B, Gillen KMcCabe, Li J, Guo L, Wang Y
. 2023.
Assessing Cerebral Oxygen Metabolism Changes in Patients With Preeclampsia Using Voxel-Based Morphometry of Oxygen Extraction Fraction Maps in Magnetic Resonance Imaging.
.
Korean J Radiol. 24(4):324-337.
Gu Z, Jamison K, Sabuncu MR, Kuceyeski A
. 2023.
Human brain responses are modulated when exposed to optimized natural images or synthetically generated images.
.
Commun Biol. 6(1):1076.
Adams AR, Li X, Byanyima JI, Vesslee SA, Nguyen TD, Wang Y, Moon B, Pond T, Kranzler HR, Witschey WR et al.
. 2023.
Peripheral and Central Iron Measures in Alcohol Use Disorder and Aging: A Quantitative Susceptibility Mapping Pilot Study.
.
Int J Mol Sci. 24(5)
Dimov AV, Li J, Nguyen TD, Roberts AG, Spincemaille P, Straub S, Zun Z, Prince MR, Wang Y
. 2023.
QSM Throughout the Body.
.
J Magn Reson Imaging. 57(6):1621-1640.
2022
Xie H, Zhuang H, Guo Y, Sharma RD, Zhang Q, Li J, Lu S, Xu L, Chan Q, Yoneda T et al.
. 2022.
The appearance of magnetic susceptibility objects in SWI phase depends on object size: Comparison with QSM and CT.
.
Clin Imaging. 82:67-72.
Cho J, Nguyen TD, Huang W, Sweeney EM, Luo X, Kovanlikaya I, Zhang S, Gillen KM, Spincemaille P, Gupta A et al.
. 2022.
Brain oxygen extraction fraction mapping in patients with multiple sclerosis.
.
J Cereb Blood Flow Metab. 42(2):338-348.
Dimov AV, Nguyen TD, Spincemaille P, Sweeney EM, Zinger N, Kovanlikaya I, Kopell BH, Gauthier SA, Wang Y
. 2022.
Global cerebrospinal fluid as a zero-reference regularization for brain quantitative susceptibility mapping.
.
J Neuroimaging. 32(1):141-147.
Gu Z, Jamison K, Sabuncu M, Kuceyeski A
. 2022.
Personalized visual encoding model construction with small data.
.
Commun Biol. 5(1):1382.
Ngo GH, Khosla M, Jamison K, Kuceyeski A, Sabuncu MR
. 2022.
Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network.
.
Neuroimage. 248:118849.
Cho J, Zhang J, Spincemaille P, Zhang H, Hubertus S, Wen Y, Jafari R, Zhang S, Nguyen TD, Dimov AV et al.
. 2022.
QQ-NET - using deep learning to solve quantitative susceptibility mapping and quantitative blood oxygen level dependent magnitude (QSM+qBOLD or QQ) based oxygen extraction fraction (OEF) mapping.
.
Magn Reson Med. 87(3):1583-1594.
2021
Cho J, Lee J, An H, Goyal MS, Su Y, Wang Y
. 2021.
Cerebral oxygen extraction fraction (OEF): Comparison of challenge-free gradient echo QSM+qBOLD (QQ) with O PET in healthy adults.
.
J Cereb Blood Flow Metab. 41(7):1658-1668.
Mosconi L, Berti V, Dyke J, Schelbaum E, Jett S, Loughlin L, Jang G, Rahman A, Hristov H, Pahlajani S et al.
. 2021.
Menopause impacts human brain structure, connectivity, energy metabolism, and amyloid-beta deposition.
.
Sci Rep. 11(1):10867.
Wen Y, Spincemaille P, Nguyen T, Cho J, Kovanlikaya I, Anderson J, Wu G, Yang B, Fung M, Li K et al.
. 2021.
Multiecho complex total field inversion method (mcTFI) for improved signal modeling in quantitative susceptibility mapping.
.
Magn Reson Med. 86(4):2165-2178.
2020
Liu Z, Wen Y, Spincemaille P, Zhang S, Yao Y, Nguyen TD, Wang Y
. 2020.
Automated adaptive preconditioner for quantitative susceptibility mapping.
.
Magn Reson Med. 83(1):271-285.
Ma Y, Sun H, Cho J, Mazerolle EL, Wang Y, G Pike B
. 2020.
Cerebral OEF quantification: A comparison study between quantitative susceptibility mapping and dual-gas calibrated BOLD imaging.
.
Magn Reson Med. 83(1):68-82.
Cho J, Zhang S, Kee Y, Spincemaille P, Nguyen TD, Hubertus S, Gupta A, Wang Y
. 2020.
Cluster analysis of time evolution (CAT) for quantitative susceptibility mapping (QSM) and quantitative blood oxygen level-dependent magnitude (qBOLD)-based oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO ) mapping.
.
Magn Reson Med. 83(3):844-857.
Kim H-G, Park S, Rhee HY, Lee KM, Ryu C-W, Lee SY, Kim EJ, Wang Y, Jahng G-H
. 2020.
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. 17(5):428-437.
Li G, Wu R, Tong R, Bo B, Zhao Y, Gillen KM, Spincemaille P, Ku Y, Du Y, Wang Y et al.
. 2020.
Quantitative Measurement of Metal Accumulation in Brain of Patients With Wilson's Disease.
.
Mov Disord. 35(10):1787-1795.
Spincemaille P, Anderson J, Wu G, Yang B, Fung M, Li K, Li S, Kovanlikaya I, Gupta A, Kelley D et al.
. 2020.
Quantitative Susceptibility Mapping: MRI at 7T versus 3T.
.
J Neuroimaging. 30(1):65-75.
2019
Zhang S, Liu Z, Nguyen TD, Yao Y, Gillen KM, Spincemaille P, Kovanlikaya I, Gupta A, Wang Y
. 2019.
Clinical feasibility of brain quantitative susceptibility mapping.
.
Magn Reson Imaging. 60:44-51.
Spincemaille P, Liu Z, Zhang S, Kovanlikaya I, Ippoliti M, Makowski M, Watts R, de Rochefort L, Venkatraman V, Desmond P et al.
. 2019.
Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi-Site Reproducibility and Single-Site Robustness.
.
J Neuroimaging. 29(6):689-698.
Azuma M, Hirai T, Nakaura T, Kitajima M, Yamashita S, Hashimoto M, Yamada K, Uetani H, Yamashita Y, Wang Y
. 2019.
Combining quantitative susceptibility mapping to the morphometric index in differentiating between progressive supranuclear palsy and Parkinson's disease.
.
J Neurol Sci. 406:116443.
Miyata M, Kakeda S, Kudo K, Iwata S, Tanaka Y, Wang Y, Korogi Y
. 2019.
Evaluation of oxygen extraction fraction in systemic lupus erythematosus patients using quantitative susceptibility mapping.
.
J Cereb Blood Flow Metab. 39(8):1648-1658.
Khosla M, Jamison K, Ngo GH, Kuceyeski A, Sabuncu MR
. 2019.
Machine learning in resting-state fMRI analysis.
.
Magn Reson Imaging. 64:101-121.
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