Original publications in peer-reviewed journals
 

• D M Sima, M I Osorio Garcia, J Poullet, A Suvichakorn, J-P Antoine, S Van Huffel and D van Ormondt, "Lineshape estimation for magnetic resonance spectroscopy (MRS) signals: self-deconvolution revisited ", Measurement Science and Technology , vol.  20 (2009), p 104031 (12pp). (.pdf )

• Laudadio T., Selen Y., Vanhamme L., Stoica P., Van Hecke P., Van Huffel S., ``Subspace-based MRS dat a quantitation of multiplets using prior knowledge'', Journal of Magnetic Resonance, vol. 168, 2004, pp. 53-65.
• Lukas L., Devos A., Suykens J.A.K., Vanhamme L., Howe F.A., Majos C., Moreno-Torres A., Van der Graaf M., Tate A.R., Arus C., Van Huffel S., ``Brain Tumour Classification based on long echo proton MRS signals'', Artificial Intelligence in Medicine, vol. 31, 2004, pp. 73-8
• Devos A., Lukas L., Suykens J.A.K., Vanhamme L., Tate A.R., Howe F.A., Majos C., Moreno-Torres A., Van der Graaf M., Arus C., Van Huffel S., ``Classification of brain tumours using short echo time 1H MRS spectra'', Journal of Magnetic Resonance, vol. 170 , no. 1, Sep. 2004, pp. 164-175.
• Stoica P., Selen Y., Sandgren N., Van Huffel S., ``Using Prior Knowledge in SVD-based parameter estimation for magnetic resonance spectroscopy - the ATP example'', IEEE Transactions on Biomedical Engineering, vol. 51, no. 9, Sep. 2004, pp. 1568-1578.
• Devos A., Simonetti A.W., van der Graaf M., Lukas L., Suykens J.A.K., Vanhamme L., Buydens L.M.C., Heerschap A., Van Huffel S., ``The use of multivariate MR Imaging Intensities versus metabolic data from MR Spectroscopic Imaging for'', Journal of Magnetic Resonance, vol. 173, no. 2, Apr. 2005, pp. 218-228.
• Papy J.M., De Lathauwer L., Van Huffel S., ``Exponential data fitting using multilinear algebra. The single-channel and the multichannel case.'', Numerical Linear Algebra and Applications, vol. 12, no. 8, Oct. 2005, pp. 809-826.
• Laudadio T., Pels P., De Lathauwer L., Van Hecke P., Van Huffel S., ``Tissue segmentation and classification of MRSI data using Canonical Correlation Analysis'', Magnetic Resonance in Medicine, vol. 54, Nov. 2005, pp. 1519-1529.
• Sima D., Van Huffel S., ``Regularized semiparametric model identification with application to NMR signal quantification with unknown macromolecular baseline'', Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 68, no. 3, Jun. 2006, pp. 383-409.
• De Neuter B., Luts J., Vanhamme L., Lemmerling P., Van Huffel S., ``Java-based framework for processing and displaying short-echo-time magnetic resonance spectroscopy signals'', Computer Methods and Programs in Biomedicine, vol. 85, no. 2, Feb. 2007, pp. 129-137.
• Poullet J., Sima D.M., Van Huffel S., Van Hecke P., ``Frequency-selective quantitation of short-echo time 1H Magnetic Resonance spectra'', Journal of Magnetic Resonance, vol. 186, no. 2, Jun. 2007, pp. 293-304.
• Poullet J-B., Sima D.M., Simonetti A.W., De Neuter B., Vanhamme L., Lemmerling P., Van Huffel S., ``An automated quantitation of short echo time MRS spectra in an open source software environment: AQSES'', NMR in Biomedicine, vol. 20, no. 5, Aug. 2007, pp. 493-504.

 
Book chapter

• Devos A., Van Huffel S., Simonetti A.W., van der Graaf M., Heerschap A. and Buydens L.M.C., ``Classification of brain tumours by pattern recognition of Magnetic Resonance Imaging and Spectroscopic data'', in Chapter 11 Outcome Prediction in Cancer, (Taktak A., and Fisher A.C., eds.), Elsevier Publishing Company, 2007, pp. 285-318.

Original publications in IEEE Proceedings

• Devos A., Lukas L., Simonetti A.W., van der Graaf M., Buydens L.M.C., Heerschap A., Van Huffel S., ``Does the combination of Magnetic Resonance Imaging and Spectroscopic Imaging improve the classification of brain tumours ?'', in Proc. of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), San Francisco, California, Sep. 2004.
• Poullet J.B., Sima D., Van Huffel S., ``Frequency-selective quantification of short-echo time Magnetic Resonance spectra'', in Proc. of the IEEE 2006 International Conference of the Engineering in Medicine and Biology Society (EMBC 2006), New-York, Aug.-Sep. 2006.
• Vanderperren K., Vandeput S., Poullet J., Sima D., Van Huffel S., ``Automatic quantification of magnetic resonance spectroscopic signals : Evalution and comparison of aqses and quest'', in Proc. of the Belgian day on biomedical engineering - IEEE/EMBS Benelux Symposium, Brussels, Belgium, Dec. 2006, pp. 251-254.
  

• Devos A., Lukas L., Suykens J.A.K., Vanhamme L., Howe F.A., Majos C., Moreno-Torres A., van der Graaf M., Tate A.R., Arus C., Van Huffel S., ``Brain tumour classification using short echo time 1H MRS. Objective comparison of classification techniques (LDA, LS-SVM).'', in Proc. of the 12th Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM04), Kyoto, Japan, May 2004, 384 p.
• Laudadio T., Pels P., De Lathauwer L., Van Hecke P., Van Huffel S., ``Unsupervised tissue segmentation of MRSI data using Canonical Correlation Analysis'', in Proc. of the 2nd International Conference on Computational Intelligence in Medical and Healthcare (CIMED2005), Lisbon, Portugal, Jul. 2005, pp. 77-83.
• Laudadio T., Pels P., De Lathauwer L., Van Hecke P., Van Huffel S., ``Tissue segmentation of MRSI data using Canonical Correlation Analysis'', in Proc. of the Second International Conference on Computational Intelligence in Medicine and Healthcare (CIMED 2005), Lisbon, Portugal, Jun.-Jul. 2005.