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For: Yan F, He N, Lin H, Li R. Iron deposition quantification: Applications in the brain and liver. J Magn Reson Imaging 2018;48:301-17. [PMID: 29897645 DOI: 10.1002/jmri.26161] [Cited by in Crossref: 24] [Cited by in F6Publishing: 25] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
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2 Tang S, Liu X, Nie L, Chen Z, Ran Q, He L. Diagnosis of children with attention-deficit/hyperactivity disorder (ADHD) comorbid autistic traits (ATs) by applying quantitative magnetic resonance imaging techniques. Front Psychiatry 2022;13. [DOI: 10.3389/fpsyt.2022.1038471] [Reference Citation Analysis]
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6 Tang S, Nie L, Liu X, Chen Z, Zhou Y, Pan Z, He L. Application of Quantitative Magnetic Resonance Imaging in the Diagnosis of Autism in Children. Front Med 2022;9:818404. [DOI: 10.3389/fmed.2022.818404] [Reference Citation Analysis]
7 Duan T, Jiang HY, Ling WW, Song B. Noninvasive imaging of hepatic dysfunction: A state-of-the-art review. World J Gastroenterol 2022; 28(16): 1625-1640 [DOI: 10.3748/wjg.v28.i16.1625] [Reference Citation Analysis]
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9 Sharma S, Sethi SK, Reese D, Gharabaghi S, Yerramsetty KK, Palutla VK, Chen Y, Haacke EM, Jog MS. Brain iron deposition and movement disorders in hereditary haemochromatosis without liver failure: A cross-sectional study. Eur J Neurol 2022. [PMID: 34989476 DOI: 10.1111/ene.15242] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Li KR, Avecillas-Chasin J, Nguyen TD, Gillen KM, Dimov A, Chang E, Skudin C, Kopell BH, Wang Y, Shtilbans A. Quantitative evaluation of brain iron accumulation in different stages of Parkinson's disease. J Neuroimaging 2021. [PMID: 34904328 DOI: 10.1111/jon.12957] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
11 Liu Y, Xiao B, Zhang C, Li J, Lai Y, Shi F, Shen D, Wang L, Sun B, Li Y, Jin Z, Wei H, Haacke EM, Zhou H, Wang Q, Li D, He N, Yan F. Predicting Motor Outcome of Subthalamic Nucleus Deep Brain Stimulation for Parkinson's Disease Using Quantitative Susceptibility Mapping and Radiomics: A Pilot Study. Front Neurosci 2021;15:731109. [PMID: 34557069 DOI: 10.3389/fnins.2021.731109] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
12 Yan F, He N, Haacke EM. Editorial: Quantitative Susceptibility Mapping in Neurodegeneration. Front Neurosci 2021;15:724550. [PMID: 34366785 DOI: 10.3389/fnins.2021.724550] [Reference Citation Analysis]
13 Halcrow PW, Lynch ML, Geiger JD, Ohm JE. Role of endolysosome function in iron metabolism and brain carcinogenesis. Semin Cancer Biol 2021:S1044-579X(21)00183-8. [PMID: 34139350 DOI: 10.1016/j.semcancer.2021.06.013] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
14 Li Y, Sethi SK, Zhang C, Miao Y, Yerramsetty KK, Palutla VK, Gharabaghi S, Wang C, He N, Cheng J, Yan F, Haacke EM. Iron Content in Deep Gray Matter as a Function of Age Using Quantitative Susceptibility Mapping: A Multicenter Study. Front Neurosci 2020;14:607705. [PMID: 33488350 DOI: 10.3389/fnins.2020.607705] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
15 Lopatina A, Ropele S, Sibgatulin R, Reichenbach JR, Güllmar D. Investigation of Deep-Learning-Driven Identification of Multiple Sclerosis Patients Based on Susceptibility-Weighted Images Using Relevance Analysis. Front Neurosci 2020;14:609468. [PMID: 33390890 DOI: 10.3389/fnins.2020.609468] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 5.0] [Reference Citation Analysis]
16 Grant ES, Clucas DB, McColl G, Hall LT, Simpson DA. Re-examining ferritin-bound iron: current and developing clinical tools. Clin Chem Lab Med 2021;59:459-71. [PMID: 33090965 DOI: 10.1515/cclm-2020-1095] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
17 Yuan XZ, Li GY, Chen JL, Li JQ, Wang XP. Paramagnetic Metal Accumulation in the Deep Gray Matter Nuclei Is Associated With Neurodegeneration in Wilson's Disease. Front Neurosci 2020;14:573633. [PMID: 33041766 DOI: 10.3389/fnins.2020.573633] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
18 Kan H, Uchida Y, Arai N, Takizawa M, Miyati T, Kunitomo H, Kasai H, Shibamoto Y. Decreasing iron susceptibility with temperature in quantitative susceptibility mapping: A phantom study. Magn Reson Imaging 2020;73:55-61. [PMID: 32853756 DOI: 10.1016/j.mri.2020.08.012] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
19 Zhang T, Tang R, Liu S, Chai C, Chen Y, Haacke EM, Xia S. Plaque characteristics of middle cerebral artery assessed using strategically acquired gradient echo (STAGE) and vessel wall MR contribute to misery downstream perfusion in patients with intracranial atherosclerosis. Eur Radiol 2021;31:65-75. [PMID: 32740814 DOI: 10.1007/s00330-020-07055-6] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
20 Loeffler RB, Sharma SD, Hillenbrand CM. Iron Mapping Techniques and Applications. Advances in Magnetic Resonance Technology and Applications 2020. [DOI: 10.1016/b978-0-12-817057-1.00031-7] [Reference Citation Analysis]
21 Xiao B, He N, Wang Q, Cheng Z, Jiao Y, Haacke EM, Yan F, Shi F. Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease. Neuroimage Clin 2019;24:102070. [PMID: 31734535 DOI: 10.1016/j.nicl.2019.102070] [Cited by in Crossref: 17] [Cited by in F6Publishing: 18] [Article Influence: 5.7] [Reference Citation Analysis]
22 Wáng YXJ, Wang X, Wu P, Wang Y, Chen W, Chen H, Li J. Topics on quantitative liver magnetic resonance imaging. Quant Imaging Med Surg 2019;9:1840-90. [PMID: 31867237 DOI: 10.21037/qims.2019.09.18] [Cited by in Crossref: 12] [Cited by in F6Publishing: 23] [Article Influence: 4.0] [Reference Citation Analysis]
23 Ghassaban K, He N, Sethi SK, Huang P, Chen S, Yan F, Haacke EM. Regional High Iron in the Substantia Nigra Differentiates Parkinson's Disease Patients From Healthy Controls. Front Aging Neurosci 2019;11:106. [PMID: 31191294 DOI: 10.3389/fnagi.2019.00106] [Cited by in Crossref: 27] [Cited by in F6Publishing: 30] [Article Influence: 9.0] [Reference Citation Analysis]
24 Jonkman LE, Kenkhuis B, Geurts JJG, van de Berg WDJ. Post-Mortem MRI and Histopathology in Neurologic Disease: A Translational Approach. Neurosci Bull 2019;35:229-43. [PMID: 30790214 DOI: 10.1007/s12264-019-00342-3] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 4.3] [Reference Citation Analysis]
25 Lee JH, Lee MS. Brain Iron Accumulation in Atypical Parkinsonian Syndromes: in vivo MRI Evidences for Distinctive Patterns. Front Neurol 2019;10:74. [PMID: 30809185 DOI: 10.3389/fneur.2019.00074] [Cited by in Crossref: 39] [Cited by in F6Publishing: 40] [Article Influence: 13.0] [Reference Citation Analysis]