Peter C.M. van Zijl
Affiliations: | Johns Hopkins University, Baltimore, MD |
Area:
magnetic resonanceGoogle:
"Peter van Zijl"Mean distance: 17.73 (cluster 6) | S | N | B | C | P |
Parents
Sign in to add mentor| Aksel A. Bothner-By | grad student | 1985 | Carnegie Mellon (Chemistry Tree) |
| Cornelis MacLean | grad student | 1985 | VU Amsterdam (Chemistry Tree) |
| Jack S. Cohen | post-doc | NCI/NIH (Chemistry Tree) |
Children
Sign in to add trainee| Susumu Mori | grad student | 1991-1996 | Johns Hopkins (Anatomy Tree) |
| Nicholas W. Goffeney | grad student | 2003 | Johns Hopkins |
| Chekesha S. Clingman | grad student | 2004 | Johns Hopkins |
| Hanzhang Lu | grad student | 2004 | Johns Hopkins |
| Seth A. Smith | grad student | 2006 | Johns Hopkins |
| Manus J. Donahue | grad student | 2008 | Johns Hopkins |
| Jonathan A. Farrell | grad student | 2009 | Johns Hopkins |
| Jun Hua | grad student | 2009 | Johns Hopkins |
| Carolyn B. Lauzon | grad student | 2010 | Johns Hopkins |
| Ksenija Grgac | grad student | 2011 | Johns Hopkins |
| Issel A. Lim | grad student | 2012 | Johns Hopkins |
| Qin Qin | post-doc | Johns Hopkins Medical School | |
| Assaf A. Gilad | post-doc | 2003-2006 | Johns Hopkins Medical School (Chemistry Tree) |
| Michael T McMahon | research scientist | Johns Hopkins School of Medicine and National Institutes of Health (Chemistry Tree) |
BETA: Related publications
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Publications
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| Prasuhn J, Xu J, Hua J, et al. (2024) Exploring neurodegenerative disorders using advanced magnetic resonance imaging of the glymphatic system. Frontiers in Psychiatry. 15: 1368489 |
| Lambrecht S, Liu D, Dzaye O, et al. (2024) Velocity-Selective Arterial Spin Labeling Perfusion in Monitoring High Grade Gliomas Following Therapy: Clinical Feasibility at 1.5T and Comparison with Dynamic Susceptibility Contrast Perfusion. Brain Sciences. 14 |
| Chen L, Liu J, Chu C, et al. (2021) Deuterium oxide as a contrast medium for real-time MRI-guided endovascular neurointervention. Theranostics. 11: 6240-6250 |
| Lai KW, Aggarwal M, van Zijl P, et al. (2020) Learned Proximal Networks for Quantitative Susceptibility Mapping. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12262: 125-135 |
| Chen L, Wei Z, Chan KW, et al. (2020) D-Glucose uptake and clearance in the tauopathy Alzheimer's disease mouse brain detected by on-resonance variable delay multiple pulse MRI. Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism. 271678X20941264 |
| Sur S, Lin Z, Li Y, et al. (2020) Association of cerebrovascular reactivity and Alzheimer pathologic markers with cognitive performance. Neurology |
| Liu D, Xu F, Li W, et al. (2020) Improved velocity-selective-inversion arterial spin labeling for cerebral blood flow mapping with 3D acquisition. Magnetic Resonance in Medicine |
| Li X, Chen L, Kutten K, et al. (2019) Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility. Neuroimage |
| Wei Z, Xu J, Liu P, et al. (2017) Quantitative assessment of cerebral venous blood T2 in mouse at 11.7T: Implementation, optimization, and age effect. Magnetic Resonance in Medicine |
| Donahue MJ, Achten E, Cogswell PM, et al. (2017) Consensus statement on current and emerging methods for the diagnosis and evaluation of cerebrovascular disease. Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism. 271678X17721830 |