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publications by dr. M Egmont-Petersen

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dr. M Egmont-Petersen

• contact information
• my technical reports
• former member of group algorithmic data analysis

some publications

Stevens-Kroef, M.J.P.L., Simons, A., Gorissen, H., Egmont-Petersen, M., Nanciu, Y., Buijs, A., Raymakers, R. & Geurts van Kessel, A. (2007). Analysis of multiple chromosomal aberrations simultaneously in chronic lymphocytic leukemia (CLL) by multiplex ligation-dependent probe amplification (MLPA). NVHG Spring meeting: Veldhoven (2007, April 19 - 2007, April 20).

Stevens-Kroef, M.J.P.L., Simons, A., Gorissen, H., Egmont-Petersen, M., Nanciu, Y., Buijs, A., Raymakers, R. & Geurts van Kessel, A. (2007). Analysis of multiple chromosomal aberrations simultaneously in chronic lymphocytic leukemia (CLL) by multiplex ligation-dependent probe amplification (MLPA). 16th International Chromosome Conference: Amsterdam (2007, August 25 - 2007, August 29).

Egmont-Petersen, M., Feelders, A.J. & Baesens, B. (2005). Confidence intervals for probabilistic network classifiers. Computational Statistics and Data Analysis, 49(4), 998-1019.

Franke, L.H., Fokkens, L., Egmont-Petersen, M., Malik, R., Bakel, H.H.M.J. van & Wijmenga, C. (2005). Prioritization of positional candidate genes in common complex diseases using gene networks. In European Journal of Human Genetics (pp. 367). Prague.

Franke, L.H., Fokkens, L., Egmont-Petersen, M., Malik, R., Bakel, H.H.M.J. van & Wijmenga, C. (2005). Prioritization of positional candidate genes in common complex diseases using gene networks. In NAV Spring Symposium Book. Veldhoven.

Franke, L.H., Fokkens, L., Egmont-Petersen, M., Malik, R., Bakel, H.H.M.J. van & Wijmenga, C. (2005). Prioritization of positional candidate genes in common complex diseases using gene networks. NAV Spring conference: Veldhoven (2005, April 7 - 2005, April 8).

Franke, L.H., Fokkens, L., Egmont-Petersen, M., Malik, R., Bakel, H.H.M.J. van & Wijmenga, C. (2005). Prioritization of positional candidate genes in common complex diseases using gene networks. European Society of Human Genetics Conference: Prague (2005, May 7 - 2005, May 10).

Franke, L.H., Fokkens, L., Egmont-Petersen, M., Malik, R., Bakel, H.H.M.J. van & Wijmenga, C. (2005). Prioritization of positional candidate genes in complex diseases using interaction networks. Proteomics and Bioinformatics, Keystone Symposia: Keystone, Colorado, USA (2005, April 8 - 2005, April 13).

Baesens, B., Verstraeten, G., Poel, D. van den, Egmont-Petersen, M., Kenhove, P. van & Vanthienen, J. (2004). Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers. European Journal of Operational Research, 156(2), 508-523.

Egmont-Petersen, M. (2004). Discovering possible co-relations and control-regulations between gene pairs in time series microarray data using salient dynamic features. In Netherlands Conference on BioInformatics 2004, Images of Life.

Egmont-Petersen, M., Jonge, W. de & Siebes, A.P.J.M. (2004). Discovery of regulatory connections in microarray data. In J.-F. Boulicaut, F. Esposito, F. Giannotti & D. Pedreschi (Eds.), Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) 2004 (pp. 149-160).

Egmont-Petersen, M. (2004). Feature selection by Markov Chain Monte Carlo Sampling - a Bayesian approach. In A. Fred, T. Caelli, R.P.W. Duin, A. Campilho & D.D. Ridder (Eds.), Structural, Syntactic, and Statistical Pattern Recognition, Proceedings of the Joint IAPR Workshops SSPR 2004 and SPR 2004 (pp. 1034-1042).

De Ridder, D.T.D., Duin, R.P.W., Egmont-Petersen, M., Vliet, L.J. van & Verbeek, P.W (2003). Nonlinear image processing using Artificial Neural Networks. In P.W Hawkes, B. Kazan & T. Mulvey (Eds.), Advances in Imaging and Electron Physics, Vol. 126 (pp. 351-450). Elsevier Academic Press.

Assen, H.C. van, Egmont-Petersen, M. & Reiber, J.H.C. (2002). Accurate object localization in gray level images using the center of gravity measure; accuracy versus precision. IEEE transactions on image processing.

Egmont-Petersen, M., De Ridder, D.T.D. & Handels, H. (2002). Image processing with nearal networks - a review. Pattern Recognition, 35(10), 2279-2301.

Baesens, B., Egmont-Petersen, M., Castelo, R. & Vanthienen, J. (2002). Learning Bayesian network classifiers for credit scoring using Markov Chain Monte Carlo search. In Proceedings of the International Congress on Pattern Recognition (pp. 49-52). Montreal, Canada: IEEE Computer Society.

Janssen, J.P., Egmont-Petersen, M., Hendriks, E.A., Reinders, M.J.T., Geest, R.J. van der, Hogendoorn, P.C.W. & Reiber, J.H.C. (2002). Scale-invariant segmentation of dynamic contrast-enhanced perfusion MR-images with inherent scale selection. Journal of visualisation and computer animation, 13(1), 1-19.

Egmont-Petersen, M., Hendriks, E.A., Reinders, M.J.T., Geest, J.N. van der, Hagendoorn, L., Reiber, J.H.C. & Jansen, F (2002). Scale-invariant segmentation of dynamic contrast-enhanced perfusion MR-images with inherent scale selection. UU-CS 2002-010. Utrecht, The Netherlands: Utrecht University: Information and Computing Sciences.

Verstraeten, G., Baesens, B., Poel, D. van den, Egmont-Petersen, M., Kenhove, P. van & Vanthienen, J. (2002). Targeting Long-Life Customers: Towards a Segmented CRM Approach. In Proceedings of the Thirty-First European Marketing Academy Conference (EMAC'2002). Braga, Portugal.

Assen, H.C. van, Egmont-Petersen, M. & Reiber, J.H.C. (2001). Accurate object localization in gray level images using the center of gravity measure; accuracy versus precision. UU-CS 2001-57. Utrecht, The Netherlands: Utrecht University: Information and Computing Sciences.

Frangi, A.F., Egmont-Petersen, M., Niessen, W.J., Reiber, J.H.C. & Viergever, M.A. (2001). Bone Tumor Segmentation from MR Perfusion Images with Neural Networks using Multi-scale Pharmacokinetic Features. Image and Vision Computing, 19(9-10), 679-690.

Baesens, B., Egmont-Petersen, M., Castelo, R. & Vanthienen, J. (2001). Learning Bayesian network classifiers for credit scoring using Markov Chain Monte Carlo search. UU-CS 2001-58. Utrecht, The Netherlands: Utrecht University: Information and Computing Sciences.

Gaag, L.C. van der, Witteman, C.L.M., Renooij, S. & Egmont-Petersen, M. (2001). The effects of disregarding test-characteristics in probabilistic networks. In S. Quaglini, P. Barahona & S. Andreassen (Eds.), Artificial Intelligence in Medicine (pp. 188-198). Berlin: Springer-Verlag.

Egmont-Petersen, M., Frangi, A.F., Niessen, W.J., Hogendoorn, P.C.W., Bloem, J.L. & Viergever, M.A. (2000). Segmentation of bone tumor in MR perfudion images using neural networks and multiscale pharmacokinetic features. In A. Sanfeliu, J.J. Villanueva, M. Vanrell, R. Alquezar, J. Crowley & Y. Shirai (Eds.), Applications, robotic systems and architectures. Vol. 4. Proceedings / international conference on pattern recognition (pp. 80-83). Los Alamitos: IEEE Computer Society Press.