Van Huffel S - Search Results

1

Fast nosological imaging using canonical correlation analysis of brain data obtained by two-dimensional turbo spectroscopic imaging.

Laudadio T, Martínez-Bisbal MC, Celda B, Van Huffel S. Laudadio T, et al. Among authors: van huffel s. NMR Biomed. 2008 May;21(4):311-21. doi: 10.1002/nbm.1190. NMR Biomed. 2008. PMID: 17907275

2

Automatic frequency alignment and quantitation of single resonances in multiple magnetic resonance spectra via complex principal component analysis.

Van Huffel S, Wang Y, Vanhamme L, Van Hecke P. Van Huffel S, et al. Among authors: van hecke p. J Magn Reson. 2002 Sep-Oct;158(1-2):1-14. doi: 10.1016/s1090-7807(02)00055-1. J Magn Reson. 2002. PMID: 12419666

3

Tissue segmentation and classification of MRSI data using canonical correlation analysis.

Laudadio T, Pels P, De Lathauwer L, Van Hecke P, Van Huffel S. Laudadio T, et al. Among authors: van huffel s, van hecke p. Magn Reson Med. 2005 Dec;54(6):1519-29. doi: 10.1002/mrm.20710. Magn Reson Med. 2005. PMID: 16276498 Free article.

4

Quantification of prostate MRSI data by model-based time domain fitting and frequency domain analysis.

Pels P, Ozturk-Isik E, Swanson MG, Vanhamme L, Kurhanewicz J, Nelson SJ, Van Huffel S. Pels P, et al. Among authors: van huffel s. NMR Biomed. 2006 Apr;19(2):188-97. doi: 10.1002/nbm.1008. NMR Biomed. 2006. PMID: 16411280 Clinical Trial.

5

Canonical correlation analysis applied to remove muscle artifacts from the electroencephalogram.

De Clercq W, Vergult A, Vanrumste B, Van Paesschen W, Van Huffel S. De Clercq W, et al. Among authors: van paesschen w, van huffel s. IEEE Trans Biomed Eng. 2006 Dec;53(12 Pt 1):2583-7. doi: 10.1109/TBME.2006.879459. IEEE Trans Biomed Eng. 2006. PMID: 17153216

6

An automated quantitation of short echo time MRS spectra in an open source software environment: AQSES.

Poullet JB, Sima DM, Simonetti AW, De Neuter B, Vanhamme L, Lemmerling P, Van Huffel S. Poullet JB, et al. Among authors: van huffel s. NMR Biomed. 2007 Aug;20(5):493-504. doi: 10.1002/nbm.1112. NMR Biomed. 2007. PMID: 17167819

7

A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection.

Luts J, Heerschap A, Suykens JA, Van Huffel S. Luts J, et al. Among authors: van huffel s. Artif Intell Med. 2007 Jun;40(2):87-102. doi: 10.1016/j.artmed.2007.02.002. Epub 2007 Apr 26. Artif Intell Med. 2007. PMID: 17466495

8

Quantification and classification of high-resolution magic angle spinning data for brain tumor diagnosis.

Poullet JB, Martinez-Bisbal MC, Valverde D, Monleon D, Celda B, Arús C, Van Huffel S. Poullet JB, et al. Among authors: van huffel s. Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:5407-10. doi: 10.1109/IEMBS.2007.4353565. Annu Int Conf IEEE Eng Med Biol Soc. 2007. PMID: 18003231

9

Effect of feature extraction for brain tumor classification based on short echo time 1H MR spectra.

Luts J, Poullet JB, Garcia-Gomez JM, Heerschap A, Robles M, Suykens JA, Van Huffel S. Luts J, et al. Among authors: van huffel s. Magn Reson Med. 2008 Aug;60(2):288-98. doi: 10.1002/mrm.21626. Magn Reson Med. 2008. PMID: 18666120 Free article.

10

The effect of combining two echo times in automatic brain tumor classification by MRS.

García-Gómez JM, Tortajada S, Vidal C, Julià-Sapé M, Luts J, Moreno-Torres A, Van Huffel S, Arús C, Robles M. García-Gómez JM, et al. Among authors: van huffel s. NMR Biomed. 2008 Nov;21(10):1112-25. doi: 10.1002/nbm.1288. NMR Biomed. 2008. PMID: 18759382

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