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• Suykens

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Brain tumour|cancer|membranes|Tumors|MRI|microarray|micorarray|ovarian|tumor|survival

01-122

Lukas L., Devos A., Suykens J.A.K., Vanhamme L., Van Huffel S., Tate A., Majos C., Arus C., ``The use of LS-SVM in the classification of brain tumors based on magnetic resonance spectroscopy signals'', in Proc. of the European Symposium Artificial Neural Networks (ESANN'2002), Bruges, Belgium, Apr. 2002, pp. 131-136.
Lirias number: 182346.

02-55

Lu C., Van Gestel T., Suykens J.A.K., Van Huffel S., Vergote I., Timmerman D., ``Preoperative prediction of malignancy of ovarium tumor using least squares support vector machines'', Artificial Intelligence in Medicine, vol. 28, no. 3, Jul. 2003, pp. 281-306.
Lirias number: 21371.

02-105

Lu C., Van Gestel T., Suykens J.A.K., Van Huffel S., Vergrote I., Timmerman D., ``Bayesian Least Squares Support Vector Machines for Classification of Ovarian Tumors'', in Proc. of the 16th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2004), Leuven, Belgium, Jul. 2004.
Lirias number: 182060.

02-132

Lukas L., Devos A., Suykens J.A.K., Vanhamme L., Van Huffel S., Tate A.R., Majos C., Arus C., ``The use of LS-SVM in the classification of brain tumors base on 1H-MR spectroscopy signals'', in Proceedings of IEE Workshop 'Medical Applications of Signal Processing', Savoy Place, London, UK, Oct. 7, 2002, pp. 15/1-15/5.
Lirias number: 181773.

02-152

Ameye L., Van Huffel S., De Brabanter J., Suykens J.A.K., Spitz B., Cadron I., Devlieger R., Timmerman D., ``Study of rupture of membranes before 26 weeks of gestation'', in Proc. of the 2nd European Medical and Biological Engineering Conference (EMBEC'02), Vienna, Austria, Dec. 2002, pp. 760-761.
Lirias number: 181761.

02-193

Lu C., Van Gestel T., Suykens J.A.K., Van Huffel S., Vergote I., Timmerman D., ``Classification of ovarian tumor using Bayesian least squares support vector machines'', in Artificial Intelligence in Medicine, (Dojat M., Keravnou E., and Barahona P., eds.), Proc. of the 9th Conference on Artificial Intelligence in Medicine in Europe (AIME 2003), Protaras, Cyprus, October 2003, vol. 2780 of Lecture Notes in Artificial Intelligence, Springer-Verlag, 2003, pp. 219-228.
Lirias number: 181734.

03-79

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. 73-89.
Lirias number: 71417.

03-122

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.
Lirias number: 73559.

03-176

Pochet N., De Smet F., Suykens J.A.K., De Moor B., ``Systematic benchmarking of micorarray data classification : assessing the role of nonlinearity and dimensionality reduction'', Bioinformatics, vol. 20, no. 17, Nov. 2004, pp. 3185-3195.
Lirias number: 12131.

03-181

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 MR spectroscopic imaging for brain tumour classification'', Journal of Magnetic Resonance, vol. 173, no. 2, Apr. 2005, pp. 218-228.
Lirias number: 73849.

04-04

Cadron I., Spitz B., Devlieger R., Ameye L., Van Huffel S., De Brabanter J., Suykens J.A.K., Timmerman D., ``Can we predict survival in cases of Preterm prelabor rupture of the membranes (PPROM) before 26 weeks of gestation ?'', Technical Report 04-04, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2004.
Lirias number: x.

04-12

Lu C., Suykens J.A.K., Timmerman D., Vergote I., Van Huffel S., ``Linear and Nonlinear Preoperative Classification of Ovarian Tumors'', in Chapter 11 of Knowledge Based Intelligent System for Health Care, (Ichimura T. and Yoshida K. , ed.), vol. 7 of International Series on Advanced Intelligence, Advanced Knowledge International (Magill, Australia), 2004, pp. 343-382.
Lirias number: 181000.

04-116

Ameye L., De Brabanter J., Suykens J.A.K., Cadron I., Devlieger R., Timmerman D., Spitz B., Van Huffel S., ``Predictive models for survival after premature rupture of membranes'', Technical Report 04-116, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2004.
Lirias number: x.

04-176

Lu C., Devos A., Suykens J.A.K., Arus C., Van Huffel S., ``Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis'', IEEE Transactions on information technology in biomedicine, vol. 11, no. 3, May 2007, pp. 338-347.
Lirias number: 70579.

04-195

Pochet N.L.M.M., Janssens F.A.L., De Smet F., Marchal K., Suykens J.A.K., De Moor B.L.R., ``M@CBETH: a microarray classification benchmarking tool'', Bioinformatics, vol. 21, no. 14, Jul. 2005, pp. 3185-3186.
Lirias number: 11835.

04-200

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).'', Proc. of the 12th Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 04), Kyoto, Japan, May 2004, 1 p.
Lirias number: 182010.

05-02

Pochet N.L.M.M., Janssens F.A.L., De Smet F., Marchal K., Suykens J.A.K., De Moor B.L.R., ``M@CBETH Tutorial - a MicroArray Classification BEnchmarking Tool on a Host server'', Technical Report 05-02, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005.
Lirias number: x.

05-76

Ameye L., De Brabanter J., Suykens J.A.K., Cadron I., Devlieger R., Timmerman D., Spitz B., Van Huffel S., ``Predictive Models for Long Term Survival after Premature Rupture of Membranes'', in Proc. of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference (IEEE-EMB), Shanghai, China, Sep. 2005, pp. 572-575.
Lirias number: 181677.

05-138

Van Gorp T., De Smet F., Pochet N., Engelen K., Van Hummelen P., Suykens J.A.K., Marchal K., Amant F., Moreau Y., Timmerman D., De Moor B., Vergote I., ``Predicting the clinical behavior of ovarian cancer from gene expression profiles'', International Journal of Gynecological Cancer, 14th International meeting of the ESGO (ESGO 14), Istanbul, Turkey, vol. 15, no. S2, Sep. 2005, pp. 66.
Lirias number: 189390.

05-139

Pochet N.L.M.M., Janssens F.A.L., De Smet F., Marchal K., Vergote I.B., Suykens J.A.K., De Moor B.L.R., ``M@CBETH: optimizing clinical microarray classification'', in Proc. of the 2005 IEEE Computational Systems Bioinformatics Conference (CSB2005), Stanford, California (US), Aug. 2005, pp. 89-90.
Lirias number: 181561.

05-205

Pochet N.L.M.M., Ojeda F., De Smet F., De Bie T., Suykens J.A.K., De Moor B.L.R., ``Kernel clustering for knowledge discovery in clinical microarray data analysis'', in Chapter 3 Kernel methods in bioengineering, communications and image processing, (Camps-Valls G., Rojo-Alvarez J.L., and Martinez-Ramon M., eds.), Idea Group Inc (Hershey, Pennsylvania), 2005, pp. 64-92.
Lirias number: 181277.

06-96

Van Calster B., Timmerman D., Lu C., Suykens J.A.K., Valentin L., Van Holsbeke C., Amant F., Vergote I., Van Huffel S., ``Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods'', Ultrasound in Obstetrics and Gynecology, vol. 29, no. 5, May 2007, pp. 496-504.
Lirias number: 72115.

06-104

Pelckmans K., Van Vooren S., Coessens B., Suykens J.A.K., De Moor B., ``Mutual Spectral Clustering: Microarray Experiments Versus Text Corpus'', in Proc. of the workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB 2006), Helsinki, Finland, Jun. 2006.
Lirias number: 180857.

06-143

Luts J., Heerschap A., Suykens J.A.K., Van Huffel S., ``MRI and MRSI based Multiclass System for Brain Tumour Recognition using LS-SVMs'', Technical Report 06-143, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2006.
Lirias number: x.

07-26

Luts J., Heerschap A., Suykens J.A.K., Van Huffel S., ``A combined MRI and MRSI based Multiclass System for Brain Tumour Recognition using LS-SVMs with Class Probabilities and Feature Selection'', Artificial Intelligence in Medicine, vol. 40, no. 2, Jun. 2007, pp. 87-102.
Lirias number: 71620.

07-70

Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Support vector machines for survival analysis'', in Proc.of the Third International Conference on Computational Intelligence in Medicine and Healthcare (CIMED2007), Plymouth, England, Jul. 2007.
Lirias number: 180278.

07-121

Luts J., Poullet J.-B., Garcia-Gomez J.M., Heerschap A., Robles M., Suykens J.A.K., Van Huffel S., ``The effect of feature extraction for brain tumour classification based on short echo time 1H MR spectra'', Magnetic Resonance in Medicine, vol. 60, no. 2, Jul. 2008, pp. 288-298.
Lirias number: 219315.

07-213

Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Survival SVM: a Practical Scalable Algorithm'', in Proc. of the 16th European Symposium on Artificial Neural Networks (ESANN2008), Bruges, Belgium, Apr. 2008, pp. 89-94.
Lirias number: 219316.

08-52

Luts J., Laudadio T., Idema A.J., Simonetti A.W., Heerschap A., Vandermeulen D., Suykens J.A.K., Van Huffel S., ``Nosologic imaging of the brain: segmentation and classification using MRI and MRSI'', NMR in Biomedicine, vol. 22, no. 4, May 2009, pp. 374-390.
Lirias number: 197125.

08-136

Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Additive survival least squares support vector machines'', Statistics in Medicine, vol. 29, no. 2, Jan. 2010, pp. 296 - 308.
Lirias number: 242406.

08-155

Garcia-Gomez J., Luts J., Julia-Sape M., Krooshof P., Tortajada S., Vicente J., Melssen W., Fuster-Garcia E., Olier I., Postma G., Monleon D., Moreno-Torres A., Pujol J., Candiota A.-P., Martinez-Bisbal M.C., Suykens J.A.K., Buydens L., Celda B., Van Huffel S., Arus C., Robles M., ``Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy'', Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 22, Feb. 2009, pp. 5-18.
Lirias number: 230610.

08-247

Luts J., Idema A.J., Heerschap A., Vandermeulen D., Suykens J. and Van Huffel S., ``Nosologic imaging of the brain: combined MRI and MRSI segmentation and classification. Proceedings annual meeting ISMRM'', Proceedings annual meeting ISMRM (International Society for Magnetic Resonance in Medicine) (ISMRM 2008), Toronto, Canada, May 2008.
Lirias number: 369451.

09-12

Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints'', in Bio-Inspired Systems: Computational and Ambient Intelligence, (Cabestany J., Sandoval F., Prieto A., and and Corchabo J.M., eds.), Proc. of the 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, vol. 5517 of Lecture notes in Computer Science, Springer, 2009, 2009, pp. 65-72.
Lirias number: 235879.

09-66

Luts J., Laudadio T., Martinez-Bisbal M.C., Van Cauter S., Molla E., Piquer J., Suykens J.A.K., Himmelreich U., Van Huffel S., Celda B., ``Differentiation between solitary brain metastasis and glioblastoma multiforme using MRI and two-dimensional turbo spectroscopic imaging data'', Technical Report 09-66, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2009.
Lirias number: 243268.

09-72

Luts J., Laudadio T., Martinez-Bisbal M.C., Van Cauter S., Molla E., Piquer J., Suykens J.A.K., Himmelreich U., Celda B., Van Huffel S., ``Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI'', in Proc. of the 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS), Albuquerque, New Mexico, Aug. 2009, pp. 1-8.
Lirias number: 257975.

09-135

Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Learning Transformation Models for Ranking and Survival Analysis'', Journal of Machine Learning Research, vol. 12, Mar. 2011, pp. 819-862.
Lirias number: 243102.

09-216

Daemen A., Signoretto M., Gevaert O., Suykens JAK., De Moor B., ``Improved microarray-based decision support with graph encoded interactome data'', PLoS ONE, vol. 5, no. 4, Apr. 2010, pp. 1-16.
Lirias number: 248316.

09-235

Van Belle V., Pelckmans K., Van Huffel S., Suykens J.A.K., ``Support vector methods for survival analysis: a comparison between ranking and regression approaches'', Artificial Intelligence in Medicine, vol. 53, no. 2, Oct. 2011, pp. 107-118.
Lirias number: 316209.

09-236

Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``On the use of a clinical kernel in survival analysis'', in Proc. of the European Symposium on Artificial Neural Networks (esann2010) (ESANN2010)}, Bruges, Belgium, Apr. 2010, pp. 451-456.
Lirias number: 260585.

09-276

Luts J., Laudadio T., Martinez-Bisbal M.C., Van Cauter S., Molla E., Piquer J., Suykens J., Himmelreich U., Celda B. and Van Huffel S., ``Non-negative matrix factorization for differentiation of brain metastasis and glioblastoma multiforme, and visualization of tumor infiltration.'', Proceedings annual meeting ISMRM (International Society for Magnetic Resonance in Medicine) (ISMRM 20010), Stockholm, Sweden, May 2010.
Lirias number: 282514.

09-278

Luts J., Laudadio T., Martinez-Bisbal M.C., Van Cauter S., Molla E., Piquer J., Suykens J.A.K., Himmelreich U., Van Huffel S., ``Solitary brain metastasis and glioblastoma multiforme: differentiation based on MRI and two-dimensional turbo spectroscopic imaging data'', Proc. of the 26th Annual Meeting European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2009), Antalya, Turkey, Oct. 2009, pp. 50-51.
Lirias number: 369467.

10-43

Postma G., Luts J., Idema A.J., Julia-Sape M., Moreno-Torres A., Gajewicz W., Suykens J.A.K., Heerschap A., Van Huffel S., Buydens L.M.C., ``On the relevance of automatically selected single voxel MRS and multimodal MRI and MRSI features for brain tumor differentiation'', Computers in Biology and Medicine, vol. 41, no. 2, Feb. 2011, pp. 87-97.
Lirias number: 291704.

10-59

Van Belle V., Pelckmans K., Van Huffel S., Suykens J.A.K., ``Improved Performance on High-Dimensional Survival Data using Survival-SVM'', Bioinformatics, vol. 27, no. 1, Jan. 2011, pp. 87-94.
Lirias number: 282330.

10-143

Luts J., Laudadio T., Idema A.J., Simonetti A.W., Heerschap A., Vandermeulen D., Suykens J.A.K., Van Huffel S., ``Nosologic imaging of brain tumors using MRI and MRSI'', in Chapter 16 Brain tumors (part 1), (Hayat M.A., ed.), vol. 3 of mph{Tumors of the central nervous system}, Springer, 2011, pp. 155-168.
Lirias number: 313010.

11-241

Van Belle V., Van Huffel S., Suykens J.A.K., Boyd S., ``Interval coded scoring systems for survival analysis'', in Proc. of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2012), Brugge, Belgium, Apr. 2012, pp. 173-178.
Lirias number: 344647.

12-131

Van Belle V., Neven P., Harvey V., Van Huffel S., Suykens J.A.K., Boyd S., ``Risk group detection and survival function estimation for interval coded survival methods'', Neurocomputing, vol. 112, Jul. 2013, pp. 200-210.
Lirias number: 374833.

12-226

Installe A., Suykens J., Van Calster B., Van den Bosch T., De Moor B., Timmerman D., ``Continually updating models for ovarian cancer diagnosis'', Technical Report 12-226, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012.
Lirias number: x.

13-39

Thomas M., De Brabanter K., Suykens J.A.K., De Moor B., ``Predicting breast cancer using an expression values weighted clinical classifier'', BMC Bioinformatics, vol. 15, no411, 2014, pp. 1-11.
Lirias number: 474772.

13-203

Mall R., Anbari El M., Bensmail H., Suykens J., ``Sparse Reductions to Kernel Spectral Clustering for Microarray Datasets'', Technical Report 13-203, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2013.
Lirias number: x.

24-61

Tao Q., Tonin F., Lambert A., Chen Y., Patrinos P., Suykens J.A.K., ``Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nystrom method'', Technical Report 24-61, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2024. Accepted for publication in The 41st International Conference on Machine Learning (ICML), pp. 1-17.
Lirias number: 4157925.