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2020 Journal Article Inhibition of Microrna-766-5p attenuates the development of cervical cancer through regulating SCAICai, Yongqin, Zhang, Kai, Cao, Liya, Sun, Hong and Wang, Honggang (2020). Inhibition of Microrna-766-5p attenuates the development of cervical cancer through regulating SCAI. Technology in Cancer Research and Treatment, 19. doi: 10.1177/1533033820980081 |
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2020 Journal Article Age-related differences in cerebral blood flow and cortical thickness with an application to age predictionMacDonald, M. Ethan, Williams, Rebecca J., Rajashekar, Deepthi, Stafford, Randall B., Hanganu, Alexadru, Sun, Hongfu, Berman, Avery J.L., McCreary, Cheryl R., Frayne, Richard, Forkert, Nils D. and Pike, G. Bruce (2020). Age-related differences in cerebral blood flow and cortical thickness with an application to age prediction. Neurobiology of Aging, 95, 131-142. doi: 10.1016/j.neurobiolaging.2020.06.019 |
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2020 Journal Article Amide signal intensities may be reduced in the motor cortex and the corticospinal tract of ALS patientsDai, Zhuozhi, Kalra, Sanjay, Mah, Dennell, Seres, Peter, Sun, Hongfu, Wu, Renhua and Wilman, Alan H. (2020). Amide signal intensities may be reduced in the motor cortex and the corticospinal tract of ALS patients. European Radiology, 31 (3), 1401-1409. doi: 10.1007/s00330-020-07243-4 |
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2020 Conference Publication Rapid region-of-interest MRI reconstruction using context-aware rapid region-of-interest MRI reconstruction using context-aware non-local U-netLiu, Xinwen, Wang, Jing, Tang, Fangfang, Sun, Hongfu, Liu, Feng and Crozier, Stuart (2020). Rapid region-of-interest MRI reconstruction using context-aware rapid region-of-interest MRI reconstruction using context-aware non-local U-net. ISMRM & SMRT Virtual Conference & Exhibition, 2020, Virtual, 8-14 August 2020. |
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2020 Conference Publication Simultaneous T1-weighted imaging, R2* mapping, and QSM from a multi-echo MPRAGE sequence using a radial fan-beam sampling scheme at 3 TeslaSun, Hongfu, MacDonald, M. Ethan, Lebel, R. Marc and Pike, G. Bruce (2020). Simultaneous T1-weighted imaging, R2* mapping, and QSM from a multi-echo MPRAGE sequence using a radial fan-beam sampling scheme at 3 Tesla. ISMRM & SMRT Virtual Conference & Exhibition, Online, 8-14 August 2020. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. |
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2020 Journal Article Quantification of brain oxygen extraction fraction using QSM and a hyperoxic challengeMa, Yuhan, Mazerolle, Erin L., Cho, Junghun, Sun, Hongfu, Wang, Yi and Pike, G. Bruce (2020). Quantification of brain oxygen extraction fraction using QSM and a hyperoxic challenge. Magnetic Resonance in Medicine, 84 (6) mrm.28390, 3271-3285. doi: 10.1002/mrm.28390 |
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2020 Other Outputs Distinguishing COVID-19 from influenza pneumonia in the early stage through CT imaging and clinical featuresYang, Zhiqi, Lin, Daiying, Chen, Xiaofeng, Qiu, Jinming, Li, Shengkai, Huang, Ruibin, Sun, Hongfu, Liao, Yuting, Xiao, Jianning, Tang, Yanyan, Liu, Guorui, Wu, Renhua, Chen, Xiangguang and Dai, Zhuozhi (2020). Distinguishing COVID-19 from influenza pneumonia in the early stage through CT imaging and clinical features. doi: 10.1101/2020.04.17.20061242 |
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2020 Journal Article A diagnostic model for coronavirus disease 2019 (COVID-19) based on radiological semantic and clinical features: a multi-center studyChen, Xiaofeng, Tang, Yanyan, Mo, Yongkang, Li, Shengkai, Lin, Daiying, Yang, Zhijian, Yang, Zhiqi, Sun, Hongfu, Qiu, Jinming, Liao, Yuting, Xiao, Jianning, Chen, Xiangguang, Wu, Xianheng, Wu, Renhua and Dai, Zhuozhi (2020). A diagnostic model for coronavirus disease 2019 (COVID-19) based on radiological semantic and clinical features: a multi-center study. European Radiology, 30 (9), 4893-4902. doi: 10.1007/s00330-020-06829-2 |
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2020 Journal Article On the value of QSM from MPRAGE for segmenting and quantifying iron-rich deep gray matterNaji, Nashwan, Sun, Hongfu and Wilman, Alan H. (2020). On the value of QSM from MPRAGE for segmenting and quantifying iron-rich deep gray matter. Magnetic Resonance in Medicine, 84 (3) mrm.28226, 1486-1500. doi: 10.1002/mrm.28226 |
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2019 Journal Article Cerebral OEF quantification: a comparison study between quantitative susceptibility mapping and dual‐gas calibrated BOLD imagingMa, Yuhan, Sun, Hongfu, Cho, Junghun, Mazerolle, Erin L., Wang, Yi and Pike, G. Bruce (2019). Cerebral OEF quantification: a comparison study between quantitative susceptibility mapping and dual‐gas calibrated BOLD imaging. Magnetic Resonance in Medicine, 83 (1) mrm.27907, 68-82. doi: 10.1002/mrm.27907 |
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2019 Journal Article Five year iron changes in relapsing-remitting multiple sclerosis deep gray matter compared to healthy controlsElkady, Ahmed M., Cobzas, Dana, Sun, Hongfu, Seres, Peter, Blevins, Gregg and Wilman, Alan H. (2019). Five year iron changes in relapsing-remitting multiple sclerosis deep gray matter compared to healthy controls. Multiple Sclerosis and Related Disorders, 33, 107-115. doi: 10.1016/j.msard.2019.05.028 |
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2019 Journal Article Rapid quantitative susceptibility mapping of intracerebral hemorrhageDe, Ashmita, Sun, Hongfu, Emery, Derek J., Butcher, Kenneth S. and Wilman, Alan H. (2019). Rapid quantitative susceptibility mapping of intracerebral hemorrhage. Journal of Magnetic Resonance Imaging, 51 (3) jmri.26850, 712-718. doi: 10.1002/jmri.26850 |
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2018 Journal Article Discriminative analysis of regional evolution of iron and myelin/calcium in deep gray matter of multiple sclerosis and healthy subjectsElkady, Ahmed M., Cobzas, Dana, Sun, Hongfu, Blevins, Gregg and Wilman, Alan H. (2018). Discriminative analysis of regional evolution of iron and myelin/calcium in deep gray matter of multiple sclerosis and healthy subjects. Journal of Magnetic Resonance Imaging, 48 (3), 652-668. doi: 10.1002/jmri.26004 |
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2018 Journal Article Hematocrit measurement with R2* and quantitative susceptibility mapping in postmortem brainWalsh, A. J., Sun, H., Emery, D. J. and Wilman, A. H. (2018). Hematocrit measurement with R2* and quantitative susceptibility mapping in postmortem brain. American Journal of Neuroradiology, 39 (7), 1260-1266. doi: 10.3174/ajnr.A5677 |
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2017 Journal Article Progressive iron accumulation across multiple sclerosis phenotypes revealed by sparse classification of deep gray matterElkady, Ahmed M., Cobzas, Dana, Sun, Hongfu, Blevins, Gregg and Wilman, Alan H. (2017). Progressive iron accumulation across multiple sclerosis phenotypes revealed by sparse classification of deep gray matter. Journal of Magnetic Resonance Imaging, 46 (5), 1464-1473. doi: 10.1002/jmri.25682 |
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2017 Journal Article Cognitive implications of deep gray matter iron in multiple sclerosisFujiwara, E., Kmech, J. A., Cobzas, D., Sun, H., Seres, P., Blevins, G. and Wilman, A. H. (2017). Cognitive implications of deep gray matter iron in multiple sclerosis. American Journal of Neuroradiology, 38 (5), 942-948. doi: 10.3174/ajnr.A5109 |
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2017 Journal Article Deep grey matter iron accumulation in alcohol use disorderJuhas, Michal, Sun, Hongfu, Brown, Matthew R. G., MacKay, Marnie B., Mann, Karl F., Sommer, Wolfgang H., Wilman, Alan H., Dursun, Serdar M. and Greenshaw, Andrew J. (2017). Deep grey matter iron accumulation in alcohol use disorder. NeuroImage, 148, 115-122. doi: 10.1016/j.neuroimage.2017.01.007 |
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2016 Journal Article Importance of extended spatial coverage for quantitative susceptibility mapping of iron-rich deep gray matterElkady, Ahmed M., Sun, Hongfu and Wilman, Alan H. (2016). Importance of extended spatial coverage for quantitative susceptibility mapping of iron-rich deep gray matter. Magnetic Resonance Imaging, 34 (4), 574-578. doi: 10.1016/j.mri.2015.12.032 |
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2015 Journal Article Subcortical gray matter segmentation and voxel-based analysis using transverse relaxation and quantitative susceptibility mapping with application to multiple sclerosisCobzas, Dana, Sun, Hongfu, Walsh, Andrew J., Lebel, R. Marc, Blevins, Gregg and Wilman, Alan H. (2015). Subcortical gray matter segmentation and voxel-based analysis using transverse relaxation and quantitative susceptibility mapping with application to multiple sclerosis. Journal of Magnetic Resonance Imaging, 42 (6), 1601-1610. doi: 10.1002/jmri.24951 |
