Dirk van Ormondt

14 papers B 1Misc 3Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2010 — conf
A Constrained Genetic Algorithm with Adaptively Defined Fitness Function in MRS Quantification.
FGIT-GDC/CA
George A. Papakostas, Dimitrios A. Karras, Basil G. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt
2005 — conf
Improved MRI Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration.
MLDM
Dimitris A. Karras, Basil G. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt
2004 J jnl
A distributed computing system for magnetic resonance imaging: Java-based processing and binding of XML.
Comput. Methods Programs Biomed.
R. de Beer, Danielle Graveron-Demilly, S. Nastase, Dirk van Ormondt
2003 J jnl
Dynamic MR-Imaging with Radial Scanning, a Post-Acquisition Keyhole Approach.
EURASIP J. Adv. Signal Process.
Ralf Lethmate, Frank T. A. W. Wajer, Yannick Crémillieux, Dirk van Ormondt, Danielle Graveron-Demilly
2003 B conf
Improved Bayesian MRI reconstruction involving neural priors based on a regularization approach.
IJCNN
Dimitrios A. Karras, Basil G. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt
2001 J jnl
Improved MR image reconstruction from sparsely sampled scans based on neural networks.
Pattern Recognit. Lett.
Martin Reczko, Dimitris A. Karras, Basil G. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt
2000 — conf
MR Image Reconstruction from Sparsely Sampled Scans Based on Multilayer Perceptrons and Using Regularization Techniques.
IJCNN (1)
Dimitris A. Karras, Martin Reczko, Basil G. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt
2000 Misc conf
Nonuniform sampling in magnetic resonance imaging.
ICASSP
Frank T. A. W. Wajer, Dirk van Ormondt, Marc Bourgeois, Danielle Graveron-Demilly
1999 — conf
Neural Networks in MR Image Estimation from Sparsely Sampled Scans.
MLDM
Martin Reczko, Dimitris A. Karras, V. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt
1997 J jnl
Improved signal enhancement procedures applied to exponential data modeling.
IEEE Trans. Signal Process.
Ioannis Dologlou, Sabine Van Huffel, Dirk van Ormondt
1996 — conf
Application of the structured total least norm technique in spectral estimation.
EUSIPCO
Hua Chen, Sabine Van Huffel, Dirk van Ormondt
1996 J jnl
MRI scan time reduction through non-uniform sampling and SVD-based estimation.
Signal Process.
Ioannis Dologlou, Dirk van Ormondt, George Carayannis
1991 Misc conf
New pole-by-pole model fitting approach for signal parameter estimation.
ICASSP
C. S. Ramalingam, Ramdas Kumaresan, Dirk van Ormondt
1989 Misc conf
Maximum likelihood estimation of poles, amplitudes and phases from 2-D NMR time domain signals.
ICASSP
R. de Beer, Dirk van Ormondt, W. W. F. Pijnappel