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Dirk van Ormondt

Affiliations: 
applied physics Delft University of Technology, Delft, Zuid-Holland, Netherlands 
Area:
magnetic resonance, spectral analysis
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"Dirk van Ormondt"
Mean distance: 15.72 (cluster 14)
 		SNBCP
Cross-listing: MathTree

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Berndt S. Blaisse grad student 1968 Delft University of Technology
 (Magnetic resonance with La2(Mg,Mn)3(NO3)12.24H2O)

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Publications

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De Beer R, Van Ormondt D, Van Der Veen JW, et al. (2011) Creating the Semipar custom plug-in for the jMRUI platform Measurement Science and Technology. 22
Popa E, Karras DA, Mertzios BG, et al. (2011) Semi-parametric estimation without searching in function space: Application to in vivo metabolite quantitation Measurement Science and Technology. 22
De Beer R, Van Ormondt D, Di Cesare F, et al. (2010) Accelerating batched 1D-FFT with a CUDA-capable computer: Calling CUDA library functions from a Java environment 2010 Ieee International Conference On Imaging Systems and Techniques, Ist 2010 - Proceedings. 446-451
Popa E, Karras DA, Mertzios BG, et al. (2010) Handling arbitrary unknown lineshape in in vivo MRS without searching in function space 2010 Ieee International Conference On Imaging Systems and Techniques, Ist 2010 - Proceedings. 361-364
Popa E, Capobianco E, De Beer R, et al. (2009) In vivo quantitation of metabolites with an incomplete model function Measurement Science and Technology. 20
Popa E, Graveron-Demilly D, Capobianco E, et al. (2008) Lineshape estimation in in vivo MR spectroscopy without using a reference signal Ist 2008 - Ieee Workshop On Imaging Systems and Techniques Proceedings. 315-320
de Beer R, Graveron-Demilly D, Nastase S, et al. (2004) A distributed computing system for magnetic resonance imaging: Java-based processing and binding of XML. Computer Methods and Programs in Biomedicine. 73: 221-31
de Beer R, Coron A, Graveron-Demilly D, et al. (2002) MR image reconstruction algorithms for sparse k-space data: a Java-based integration. Magma (New York, N.Y.). 15: 18-26
Van Huffel S, de Beer R, van Ormondt D. (1996) Advanced time-domain quantitation methods for MR spectroscopy and metabolite imaging Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 5: 2124-2126
Chen H, Van Huffel S, Van Ormondt D, et al. (1996) Parameter estimation with prior knowledge of known signal poles for the quantification of NMR spectroscopy data in the time domain Journal of Magnetic Resonance - Series A. 119: 225-234
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