Peter C.M. van Zijl

Affiliations: 
Johns Hopkins University, Baltimore, MD 
Area:
magnetic resonance
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"Peter van Zijl"
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Parents

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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

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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

Publications

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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
Quevenco FC, Preti MG, van Bergen JM, et al. (2017) Memory performance-related dynamic brain connectivity indicates pathological burden and genetic risk for Alzheimer's disease. Alzheimer's Research & Therapy. 9: 24
Cheng Y, Qin Q, van Zijl PC, et al. (2016) A Three-dimensional Single-scan Approach for the Measurement of Changes in Cerebral Blood Volume, Blood Flow, and Blood Oxygenation-weighted Signals during Functional Stimulation. Neuroimage
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