Suykens JA - Search Results

1

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: suykens ja. 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

2

Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis.

Van Gestel T, Suykens JA, Lanckriet G, Lambrechts A, De Moor B, Vandewalle J. Van Gestel T, et al. Among authors: suykens ja. Neural Comput. 2002 May;14(5):1115-47. doi: 10.1162/089976602753633411. Neural Comput. 2002. PMID: 11972910

3

Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines.

Lu C, Van Gestel T, Suykens JA, Van Huffel S, Vergote I, Timmerman D. Lu C, et al. Among authors: suykens ja. Artif Intell Med. 2003 Jul;28(3):281-306. doi: 10.1016/s0933-3657(03)00051-4. Artif Intell Med. 2003. PMID: 12927337

4

Brain tumor classification based on long echo proton MRS signals.

Lukas L, Devos A, Suykens JA, Vanhamme L, Howe FA, Majós C, Moreno-Torres A, Van der Graaf M, Tate AR, Arús C, Van Huffel S. Lukas L, et al. Among authors: suykens ja. Artif Intell Med. 2004 May;31(1):73-89. doi: 10.1016/j.artmed.2004.01.001. Artif Intell Med. 2004. PMID: 15182848

5

Classification of brain tumours using short echo time 1H MR spectra.

Devos A, Lukas L, Suykens JA, Vanhamme L, Tate AR, Howe FA, Majós C, Moreno-Torres A, van der Graaf M, Arús C, Van Huffel S. Devos A, et al. Among authors: suykens ja. J Magn Reson. 2004 Sep;170(1):164-75. doi: 10.1016/j.jmr.2004.06.010. J Magn Reson. 2004. PMID: 15324770

6

The use of multivariate MR imaging intensities versus metabolic data from MR spectroscopic imaging for brain tumour classification.

Devos A, Simonetti AW, van der Graaf M, Lukas L, Suykens JA, Vanhamme L, Buydens LM, Heerschap A, Van Huffel S. Devos A, et al. Among authors: suykens ja. J Magn Reson. 2005 Apr;173(2):218-28. doi: 10.1016/j.jmr.2004.12.007. J Magn Reson. 2005. PMID: 15780914

7

Does the combination of magnetic resonance imaging and spectroscopic imaging improve the classification of brain tumours?

Devos A, Lukas L, Simonetti AW, Suykens JA, Vanhamme L, van der Graaf M, Buydens LM, Heerschap A, Van Huffel S. Devos A, et al. Among authors: suykens ja. Conf Proc IEEE Eng Med Biol Soc. 2004;2006:407-10. doi: 10.1109/IEMBS.2004.1403180. Conf Proc IEEE Eng Med Biol Soc. 2004. PMID: 17271698

8

Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods.

Van Calster B, Timmerman D, Lu C, Suykens JA, Valentin L, Van Holsbeke C, Amant F, Vergote I, Van Huffel S. Van Calster B, et al. Among authors: suykens ja. Ultrasound Obstet Gynecol. 2007 May;29(5):496-504. doi: 10.1002/uog.3996. Ultrasound Obstet Gynecol. 2007. PMID: 17444557 Free article.

9

Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis.

Lu C, Devos A, Suykens JA, Arús C, Van Huffel S. Lu C, et al. Among authors: suykens ja. IEEE Trans Inf Technol Biomed. 2007 May;11(3):338-47. doi: 10.1109/titb.2006.889702. IEEE Trans Inf Technol Biomed. 2007. PMID: 17521084

10

Low rank updated LS-SVM classifiers for fast variable selection.

Ojeda F, Suykens JA, De Moor B. Ojeda F, et al. Among authors: suykens ja. Neural Netw. 2008 Mar-Apr;21(2-3):437-49. doi: 10.1016/j.neunet.2007.12.053. Epub 2008 Feb 2. Neural Netw. 2008. PMID: 18343309

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