Publication in peer-reviewed journals

• A Suvichakorn, H Ratiney, A Bucur, S Cavassila and J P Antoine, "Toward a quantitative analysis of in vivo proton magnetic resonance spectroscopic signals using the continuous Morlet wavelet transform", Measurement Science and Technology, vol. 20, p. 104029 (11pp)

• 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 ) 

• Jean-Pierre Antoine, A. Coron. Time-frequency and time-scale approach to magnetic resonance spectroscopy. Journal of Computational Methods in Science and Engineering, 1 (2001) 327-352. (.pdf )   

• A. Coron, L. Vanhamme, Jean-Pierre Antoine, P. Van Hecke, S. Van Huffel. "The filtering approach to solvent peak suppression in MRS: a critical review". Journal of Magnetic Resonance 152 (2001) 26-40. (.ps )

• Jean-Pierre Antoine, C. Chauvin, A. Coron, " Wavelets and related time-frequency techniques in Magnetic Resonance Spectroscopy". NMR in Biomedicine 14  (2001)  265-270. (.pdf )

• Jean-Pierre Antoine, A. Coron, J.-M. Dereppe. "Water Peak Suppression : Time-Frequency emph vs Time-Scale Approach". Journal of Magnetic Resonance 144(2) (2000) 189-194 . (.ps )

Chapter in Book

• A. Suvichakorn, H. Ratiney,  S. Cavassila and J-P. Antoine, "Wavelet-based techniques in MRS", Chapter 9 in Signal Processing, pp. 167--196 ; S. Miron (ed.),  IN-TECH, Vienna, Austria, and Rijeka, Croatia,  2010 --ISBN 978-953-7619-91-6 
  

Papers in Proceedings and Abstracts

• A. Schuck Jr, C. Lemke, A. Suvichakorn and J-P. Antoine, “Analysis of magnetic resonance spectroscopic signals with data-based autocorrelation wavelets”, Proc. 32nd Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC'10), Buenos Aires, Sept. 1-4, 2010 
  
  
• C. Lemke, A. Schuck Jr., J-P. Antoine, D.M. Sima and M.I. Osorio Garcia, “Metabolite-based wavelets for analyzing magnetic resonance spectroscopic signals”, Proc. IEEE Int. Conf. on Imaging Systems and Techniques (IST 2010}, Thessaloniki, Greece, July 1-2, 2010
  
  
• A. Suvichakorn, H. Ratiney, A. Bucur, S. Cavassila and J-P. Antoine. "Quantification method using the Morlet wavelet for Magnetic Resonance Spectroscopic signals with macromolecular contamination",  Proc.  30th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBS 2008),  Vancouver, BC, Canada,  Aug. 20-25  2008; pp. 2681 - 2684
  
  
• C. Lemke, A. Schuck Jr, D.M. Sima, M.I. Osorio Garcia, S. Van Huffel, and J-P. Antoine, “MRS signal analysis by metabolite-based wavelets”, Proc. 2nd Annual Meeting of the Benelux ISRMRM Chapter,Utrecht, Jan. 18, 2010; p.35
  
  
• A. Suvichakorn, H. Ratiney, A. Bucur, S. Cavassila, and J-P. Antoine, “Analyzing magnetic resonance spectroscopic signals, with macromolecular contamination by the Morlet wavelet”,  Proc. 4th European Conference of the International Federation for Medical and Biological Engineering (ECIFMBE2008, Antwerp, Nov. 23-27, 2008), Springer-Verlag, Berlin, pp. 163-166 (2008)
  
  
  
• A. Suvichakorn, H. Ratiney, A. Bucur, S. Cavassila, and J-P. Antoine, “Morlet wavelet analysis of magnetic resonance spectroscopic signals with macromolecular contamination”, Proc. IEEE Int. Workshop on Imaging Systems and Techniques (IST 2008), Chania, Greece, September 10-12, 2008; pp. 321-325
  
  
• A. Suvichakorn and J-P. Antoine, “Analyzing NMR spectra with the Morlet wavelet”, 16th European Signal Processing Conference (EUSIPCO 2008), Lausanne, Switzerland, August 25-29, 2008; paper # 1569104449

 
In preparation