Index by author
June 01, 2021; Volume 42,Issue 6
Wong, T.Z.
- Review ArticleOpen AccessComplete Evaluation of Dementia: PET and MRI Correlation and Diagnosis for the NeuroradiologistJ.D. Oldan, V.L. Jewells, B. Pieper and T.Z. WongAmerican Journal of Neuroradiology June 2021, 42 (6) 998-1007; DOI: https://doi.org/10.3174/ajnr.A7079
Woo, D.
- Adult BrainOpen AccessBrain and Lung Imaging Correlation in Patients with COVID-19: Could the Severity of Lung Disease Reflect the Prevalence of Acute Abnormalities on Neuroimaging? A Global Multicenter Observational StudyA. Mahammedi, A. Ramos, N. Bargalló, M. Gaskill, S. Kapur, L. Saba, H. Carrete, S. Sengupta, E. Salvador, A. Hilario, Y. Revilla, M. Sanchez, M. Perez-Nuñez, S. Bachir, B. Zhang, L. Oleaga, J. Sergio, L. Koren, P. Martin-Medina, L. Wang, M. Benegas, F. Ostos, G. Gonzalez-Ortega, P. Calleja, G. Udstuen, B. Williamson, V. Khandwala, S. Chadalavada, D. Woo and A. VagalAmerican Journal of Neuroradiology June 2021, 42 (6) 1008-1016; DOI: https://doi.org/10.3174/ajnr.A7072
Wu, H.Y.
- Adult BrainYou have accessDiagnostic Accuracy of Arterial Spin-Labeling MR Imaging in Detecting the Epileptogenic Zone: Systematic Review and Meta-analysisJ.Y. Zeng, X.Q. Hu, J.F. Xu, W.J. Zhu, H.Y. Wu and F.J. DongAmerican Journal of Neuroradiology June 2021, 42 (6) 1052-1060; DOI: https://doi.org/10.3174/ajnr.A7061
Xia, H.
- Adult BrainYou have accessAbsent Cortical Venous Filling Is Associated with Aggravated Brain Edema in Acute Ischemic StrokeH. Xia, H. Sun, S. He, M. Zhao, W. Huang, Z. Zhang, Y. Xue, P. Fu and W. ChenAmerican Journal of Neuroradiology June 2021, 42 (6) 1023-1029; DOI: https://doi.org/10.3174/ajnr.A7039
Xie, Y.
- EDITOR'S CHOICEAdult BrainYou have accessTissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute StrokeY. Yu, Y. Xie, T. Thamm, E. Gong, J. Ouyang, S. Christensen, M.P. Marks, M.G. Lansberg, G.W. Albers and G. ZaharchukAmerican Journal of Neuroradiology June 2021, 42 (6) 1030-1037; DOI: https://doi.org/10.3174/ajnr.A7081
Deep learning models with fine-tuning lead to better performance for predicting tissue at risk and ischemic core, outperforming conventional thresholding methods.
Xu, J.F.
- Adult BrainYou have accessDiagnostic Accuracy of Arterial Spin-Labeling MR Imaging in Detecting the Epileptogenic Zone: Systematic Review and Meta-analysisJ.Y. Zeng, X.Q. Hu, J.F. Xu, W.J. Zhu, H.Y. Wu and F.J. DongAmerican Journal of Neuroradiology June 2021, 42 (6) 1052-1060; DOI: https://doi.org/10.3174/ajnr.A7061
Xue, Y.
- Adult BrainYou have accessAbsent Cortical Venous Filling Is Associated with Aggravated Brain Edema in Acute Ischemic StrokeH. Xia, H. Sun, S. He, M. Zhao, W. Huang, Z. Zhang, Y. Xue, P. Fu and W. ChenAmerican Journal of Neuroradiology June 2021, 42 (6) 1023-1029; DOI: https://doi.org/10.3174/ajnr.A7039
Yagi, K.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessClinical Features of Cytotoxic Lesions of the Corpus Callosum Associated with Aneurysmal Subarachnoid HemorrhageH. Toi, K. Yagi, S. Matsubara, K. Hara and M. UnoAmerican Journal of Neuroradiology June 2021, 42 (6) 1046-1051; DOI: https://doi.org/10.3174/ajnr.A7055
Cytotoxic lesions of the corpus callosum appear at a frequency of 12.7% in patients with aneurysmal SAH. Cytotoxic lesions of the corpus callosum associated with SAH take several days to appear and subsequently resolve within about a month.
Yang, S.
- Extracranial VascularYou have accessDelayed Contrast-Enhanced MR Angiography for the Assessment of Internal Carotid Bulb Patency in the Context of Acute Ischemic Stroke: An Accuracy, Interrater, and Intrarater Agreement StudyW. Boisseau, A. Benaissa, R. Fahed, J.-L. Amegnizin, S. Smajda, S. Benadjaoud, A.M. Benadjaoud, L. Saint-Val, Q. Alias, P. Iorio, S. Yang, K. Zuber, E. Kalsoum and J. HodelAmerican Journal of Neuroradiology June 2021, 42 (6) 1116-1122; DOI: https://doi.org/10.3174/ajnr.A7054
Yu, Y.
- EDITOR'S CHOICEAdult BrainYou have accessTissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute StrokeY. Yu, Y. Xie, T. Thamm, E. Gong, J. Ouyang, S. Christensen, M.P. Marks, M.G. Lansberg, G.W. Albers and G. ZaharchukAmerican Journal of Neuroradiology June 2021, 42 (6) 1030-1037; DOI: https://doi.org/10.3174/ajnr.A7081
Deep learning models with fine-tuning lead to better performance for predicting tissue at risk and ischemic core, outperforming conventional thresholding methods.
In this issue
American Journal of Neuroradiology
Vol. 42, Issue 6
1 Jun 2021
Advertisement
Advertisement