Welcome to the scientific webpage of Michael Egmont-Petersen. It contains an overview of the publications I have (co­‑)authored and links to most original manuscripts.

 

During my Ph.D. work and early Post-Doc career, I worked on methods and applications for Statistical Pattern Recognition Techniques, especially on Medical Images. Later, I entered the field of Computational Biology (Genomics), where I worked with (DNA./SNP) Microarrary data and Gene-Expression Microarray data. This site contains links both to papers on Statistical Pattern Recognition and Genomics.


You can contact me via: michael * egmont-petersen.nl (with * indicating @) 







Publications by Michael Egmont-Petersen

Electronic Reprints: Single copies of articles can be downloaded and printed for the reader's personal research and study.
 

Journal papers:

  1. H. Bootsma, M. Egmont-Petersen, P. Hermans. "Analysis of the in vitro transcriptional response of human pharyngeal epithelial cells to adherent Streptococcus pneumonia: evidence for a distinct response to encapsulated strains," Infection and Immunity, Vol. 75, No. 11, pp. 5489-5499, 2007. (Abstract, Full paper)
  2. P. Groot, C. Gilissen, M. Egmont-Petersen. "Error Probabilities for Local Extrema in Gene expression Data," Pattern Recognition Letters, Vol. 28, No. 15, pp. 2133-2142, 2007. (Abstract, Full paper)
  3. A.P.M. de Brouwer, K.L. Williams, J. Duley, A.B.P. van Kuilenburg, S. Nabuurs, M. Egmont-Petersen, D. Lugtenberg, L. Zoetekouw, M.J.G. Banning, M. Roeffen, B.C.J. Hamel, L. Weaving, R.A. Ouvrier, J.A. Donald, R.A. Wevers, J. Christodoulou, H. van Bokhoven. "Arts syndrome is caused by loss-of-function mutations in PRPS1," American Journal of Human Genetics, Vol. 81, No. 3, pp. 507-518, 2007. (Abstract, Full paper)
  4. J. Hehir-Kwa, M. Egmont-Petersen, I. Janssen, D. Smeets, A. Geurts van Kessel. J. Veltman. "Genome-wide copy number profiling on high-density BAC, SNP and oligonucleotide microarrays: a platform comparison based on statistical power analysis," DNA Research, Vol. 14, No. 1, pp. 1-11, 2007. (Abstract, Full paper)
  5. L. Franke, H. van Bakel, L. Fokkens, E. de Jong, M. Egmont-Petersen, C. Wijmenga. "Reconstruction of a probabilistic human gene network, with an application for prioritizing positional candidate genes," American Journal of Human Genetics, Vol. 78 No. 6, pp. 1011-1025, 2006. (Abstract, Full paper)
  6. M. Egmont-Petersen, A. Feelders, B. Baesens. "Confidence intervals for probabilistic network classifiers," Computational Statistics and Data Analysis, Vol. 49, No. 4, pp. 998-1019, 2005. (Abstract, Full paper)
  7. B. Baesens, G. Verstraeten, D. van den Poel, M. Egmont-Petersen, P. van Kenhove, J. Vanthienen. "Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers," European Journal of Operational Research, Vol. 156, No. 2, pp. 508-523, 2004. (Abstract, Full paper)
  8. N. Archip, P.J. Erard, M. Egmont-Petersen, J.-M. Haefliger, J.-F. Germond. "A knowledge-based approach to automatic detection of the spinal cord in CT images," IEEE Transactions on Medical Imaging, Vo. 21, No. 12, pp. 1504-1516, 2002. (Abstract, Full paper)
  9. H.C. van Assen, M. Egmont-Petersen, J.H.C. Reiber. "Accurate object localization in gray level images using the center of gravity measure; accuracy versus precision," IEEE Transactions on Image Processing, Vol. 11, No. 12, pp. 1379-1384, 2002. (Abstract, Full paper)
  10. J.P. Janssen, M. Egmont-Petersen, E.A. Hendriks, M.J.T. Reinders, R.J. van der Geest, P.C.W. Hogendoorn, J.H.C. Reiber. "Scale-invariant segmentation of dynamic contrast-enhanced perfusion MR-images with inherent scale selection," Journal of Visualisation and Computer Animation, Vol. 13, No. 1, pp. 1-19, 2002. (Abstract, Preprint)
  11. M. Egmont-Petersen, D. de Ridder, H. Handels. "Image processing with neural networks - a review," Pattern Recognition, Vol. 35, No. 10, pp. 2279-2301, 2002. (Abstract, Full Paper, More Info)
  12. A.F. Frangi, M. Egmont-Petersen, W.J. Niessen, J.H.C. Reiber, M.A. Viergever. "Bone tumor segmentation from MR perfusion images with neural networks using multi-scale pharmacokinetic features," Image and Vision Computing, Vol. 19, No. 9-10, pp. 679-690, 2001. (Abstract, Full paper)
  13. H.J. van der Woude, M. Egmont-Petersen. "Contrast-enhanced Magnetic Resonance Imaging of Bone Marrow," Seminars in Musculoskeletal Radiology, Vol. 5, No. 1, pp. 21-33, 2001. (Abstract)
  14. M. Egmont-Petersen, P.C.W. Hogendoorn, R.v.d.Geest, H.A. Vrooman, H.-J.v.d. Woude, J.P. Janssen, J.L. Bloem, J.H.C. Reiber. "Detection of areas with viable remnant tumor in postchemotherapy patients with Ewing's sarcoma by dynamic contrast-enhanced MRI using pharmacokinetic modeling," Magnetic Resonance Imaging, Vol. 15, No. 5, pp. 525-535, 2000. (Abstract, Full paper)
  15. M. Egmont-Petersen, U. Schreiner, S.C. Tromp, T. Lehmann, D.W. Slaaf, T. Arts. "Detection of leukocytes in contact with the vessel wall from in vivo microscope recordings using a neural network," IEEE Transactions on Biomedical Engineering, Vol. 47, No. 7, pp. 941-951, 2000. (Abstract, Full paper)
  16. H.C. van Assen, H.A. Vrooman, M. Egmont-Petersen, G. Koning, E.L. van der Linden, B. Goedhart, J.H.C. Reiber. "Automated calibration in vascular X-ray images using the accurate localization of catheter marker bands," Investigative Radiology, Vol. 35, No. 4, pp. 219-226, 2000. (Abstract)
  17. M. Egmont-Petersen, W.R.M. Dassen, J.H.C. Reiber. "Sequential selection of discrete features for neural networks - a Bayesian approach to building a cascade," Pattern Recognition Letters, Vol. 20, No. 11-13, pp. 1439-1448, 1999. (Abstract, Full paper)
  18. M. Egmont-Petersen, T. Arts. "Recognition of radiopaque markers in X-ray images using a neural network as nonlinear filter," Pattern Recognition Letters, Vol. 20, No. 5, pp. 521-533, 1999. (Abstract, Full paper)
  19. M. Egmont-Petersen, E. Pelikan. "Detection of bone tumours in radiographs using neural networks," Pattern Analysis and Applications, Vol. 2, No. 2, pp. 172-183, 1999. (Abstract, Full paper)
  20. M. Egmont-Petersen, J.L. Talmon, A. Hasman, A.W. Ambergen. "Assessing the importance of features for multi-layer perceptrons," Neural Networks, Vol. 11, No. 4, pp. 623-635, 1998. (Abstract, Full paper)
  21. M. Egmont-Petersen, J.L. Talmon, A. Hasman, "Robustness metrics for measuring the influence of additive noise on the performance of statistical classifiers," International Journal of Medical Informatics, Vol. 46, No. 2, pp. 103-112, 1997. (Abstract, Full paper)
  22. V. Karthaus, H. Thygesen, M. Egmont-Petersen, J. Talmon, J. Brender, P. McNair. "User-requirements driven learning," Computer Methods and Programs in Biomedicine, Vol. 48, No. 1-2, pp. 39-44, 1995. (Abstract, Full paper)
  23. M. Egmont-Petersen, J.L. Talmon, J. Brender, P. NcNair. "On the quality of neural net classifiers," Artificial Intelligence in Medicine, Vol. 6, No. 5, pp. 359-381, 1994. (Abstract, Full paper)
  24. J.L. Talmon, M. Egmont-Petersen. "Inductive learning and neural networks," (in dutch) Klinische Fysica, Vol. 1, pp. 17-20, 1993. 


Reprints (unavailable online), please contact me: michael * egmont-petersen.nl (with * indicating @) 

 

Books and book chapters:

  1. D. de Ridder, R.P.W. Duin, M. Egmont-Petersen, L.J. van Vliet, P.W. Verbeek. "Nonlinear image processing using Artificial Neural Networks," In Advances in Imaging and Electron Physics, Vol. 126, Elsevier Science, 2003, pp. 351-450.
  2. W.R.M. Dassen, M. Egmont-Petersen, R.G.A. Mulleneers. "Artificial neural networks in cardiology; a review," chapter 29, In P.E. Vardas (Ed.), Cardiac arrhythmias, pacing and electrophysiology, Kluwer Academic Publishers, Dordrecht, 1998, pp. 205-211. (Abstract-C-CARD98.htm)
  3. M. Egmont-Petersen. Specification and assessment of methods supporting the development of neural networks in medicine, Doctoral dissertation, Faculty of medicine at Maastricht University, Shaker Publishing B.V., Maastricht, 1996. (Summary-dis.htm)

Reprints (unavailable online), please contact me: michael * egmont-petersen.nl (with * indicating @) 

 

Conference proceedings:

  1. M. Egmont-Petersen. "Feature selection by Markov Chain Monte Carlo Sampling - a Bayesian approach," In Structural, Syntactic, and Statistical Pattern Recognition, Proceedings of the Joint IAPR Workshops SSPR 2004 and SPR 2004, Lecture Notes in Computer Science 3138, Eds. A. Fred et al., pp. 1034-1042, 2004. (Abstract, Full paper)
  2. M. Egmont-Petersen. W. de Jonge, A. Siebes. "Discovery of regulatory connections in microarray data," In Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) 2004, Lecture Notes in Computer Science 3202, Eds. J.-F. Boulicaut et al., pp. 149-160, 2004. (Abstract, Full paper)
  3. B. Baesens, M. Egmont-Petersen, R. Castelo, J. Vanthienen. "Learning Bayesian network classifiers for credit scoring using Markov Chain Monte Carlo search," In: Proceedings of the International Congress on Pattern Recognition, IEEE Computer Society, Montreal, pp. 49-52, 2002.
  4. G. Verstraeten, B. Baesens, D. van den Poel, M. Egmont-Petersen, P. van Kenhove, J. Vanthienen. "Targeting Long-Life Customers: Towards a Segmented CRM Approach," In: Proceedings of the Thirty-First European Marketing Academy Conference (EMAC'2002), Braga, Portugal, 2002.
  5. L.C. van der Gaag, C.L.M. Witteman, S. Renooij, M. Egmont-Petersen (2001).  "The effects of disregarding test-characteristics in probabilistic
  6. M. Egmont-Petersen, P.C.W. Hogendoorn, R.J. van der Geest, J.L. Bloem, J.H.C. Reiber. "Assessment of the influence of preoperative chemotherapy in patients with osteosarcoma by dynamic contrast-enhanced MRI using pharmacokinetic modeling," In: H. Handels, A. Horsch, T. Lehmann, H.-P. Meinzer (Eds.), Proceedings of Bildverarbeitung in der Medizin 2001 (Proceedings of the workshop in Lübeck on medical image processing), Springer Verlag, Berlin, pp. 399-403, 2001.
  7. M. Egmont-Petersen, A.F. Frangi, W.J. Niessen, P.C.W. Hogendoorn, J.L. Bloem, M.A. Viergever, J.H.C. Reiber. "Segmentation of bone tumor in MR perfusion images using neural networks and multiscale pharmacokinetic features," In: A. Sanfeliu et al., Proceedings of the International Congress on Pattern Recognition, IEEE Computer Society, Barcelona, Vol. 4, pp. 80-83, 2000. (Abstract-P-ICPR00.htm)
  8. M. Egmont-Petersen, J.P. Janssen, R.J. van der Geest, H.A. Vrooman, P.C.W. Hogendoorn, J.L. Bloem, J.H.C. Reiber, "Detection of areas with viable remnant tumor in postchemotherapy patients with Ewing's sarcoma by dynamic contrast-enhanced MRI using a neural network," In: Proceedings of the International Society of Magnetic Resonance in Medicine 2000, Denver, Vol. 1, p. 577, 2000.
  9. M. Egmont-Petersen, W.R.M. Dassen, C.J.H.J. Kirchhof, J. Heijmeriks, A.W. Ambergen. "An explanation facility for a neural network trained to predict atrial fibrillation directly after cardiac surgery," In: H. Blockeel, L. Dehaspe (Eds.), Benelearn '99 - Proceedings of the ninth Belgian-Dutch Conference on Machine Learning, Maastricht, pp. 45-52, 1999.
  10. M. Egmont-Petersen, R.J. van der Geest, H.A. Vrooman, P.C.W. Hogendoorn, H.J. van der Woude, J.P. Janssen, J.L. Bloem, J.H.C. Reiber, "Detection of areas with viable bone tumor in dynamic contrast-enhanced MR-images of patients with Ewing's sarcoma using pharmacokinetic modeling," In: Proceedings of the International Society of Magnetic Resonance in Medicine 1999, Philadelphia, Vol. 3, p. 1876, 1999.
  11. M. Egmont-Petersen, R.J. van der Geest, H.A. Vrooman, P.C.W. Hogendoorn, H.J. van der Woude, J.P. Janssen, J.L. Bloem, J.H.C. Reiber, "Segmentation of dynamic contrast-enhanced MR-images of post chemotherapy Ewing's sarcoma with a pharmacokinetic model and a neural network," In: H. Evers, G. Glombitza, T. Lehmann, H.-P. Meinzer (Eds.), Tagesband zur Workshop: Bildverarbeitung für die Medizin 1999 (Proceedings of the workshop in Heidelberg on medical image processing), Heidelberg, pp. 87-91, 1999. (Full paper)
  12. M. Egmont-Petersen, W.R.M. Dassen, C.J.H.J. Kirchhof, J. Heijmeriks, A.W. Ambergen. "An explanation facility for a neural network trained to predict atrial fibrillation directly after cardiac surgery," In: Proceedings of Computers in Cardiology 1998, Cleveland, pp. 489-492, 1998. (Abstract-P-CIC98.htm)
  13. U. Schreiner, M. Egmont-Petersen, T. Lehmann, S.C. Tromp, D.W. Slaaf, T. Arts. "Detection von Leukozyten mit Hilfe neuronaler Strukturen," In: T. Lehmann, V. Metzler, K. Spitzer, T. Tolxdorff (Eds.), Tagesband zur Aachener Workshop: Bildverarbeitung für die Medizin 1998 (Proceedings of the workshop in Aachen on medical image processing), Aachen, pp. 427-431, 1998.
  14. A.M.M. Muijtjens, J.M.A. Roos, M.F.M. van Oosterhout, F.W. Prinzen, M. Egmont-Petersen, T. Arts, R.S. Reneman. "Measuring regional hypertrophy by radiopacque myocardial markers viewed in 3-D with a single X-ray camera," In: Proceedings of the IEEE Conference of Computers in Cardiology, The Institute of Electrical and Electronic Engineers, pp. 565-568, 1997.
  15. M. Egmont-Petersen, T. Arts. "Detection of implanted markers in radiographic image sequences," In. T. Lehmann, K. Spitzer (Eds.), Tagesband zur Aachener Workshop Bildverarbeitung in der Medizin (Proceedings of the workshop in Aachen on medical image processing), Aachen, pp. 209-214, 1996.
  16. M. Egmont-Petersen, E. Pelikan. "Erweiterte Kriterien zur Beurteilung von Segmentierungsergebnissen," In: B. Arnolds, H. Müller, D. Saupe, T. Tolxdorf (Eds.), Digitale Bildverarbeitung in der Medizin, Proceedings 4th workshop on digital image processing in medicine, Freiburg, pp. 24-30, 1996.
  17. J. Brender, J. Talmon, M. Egmont-Petersen, P. McNair. "Measuring quality of medical knowledge," In: P. Barahona, M. Veloso, J. Bryant (Eds.), Proceedings of Medical Informatics in Europe 1994, Lisbon, pp. 69-74, 1994. (Abstract-P-MIE94.htm)
  18. M. Egmont-Petersen, J.L. Talmon, E. Pelikan, F. Vogelsang. "Contribution analysis of multi-layer perceptrons. Estimation of the input sources' importance for the classification," In: E. Gelsema, L. Kanal (Eds.), Proceedings of Pattern Recognition in Practice 94, Elsevier, pp. 347-358, 1994.
  19. E. Pelikan, F. Vogelsang, B. Schulz, M. Egmont-Petersen, K. Bohndorf, T. Tolxdorf, "Texturbasierte Segmentierung von Röntgenbildern mittels Multilayer-Perzeptron und Topologischer Karte," Proc. 16 Sypm. DAGM, Wien, pp. 589-600, 1994
  20. E. Pelikan, F. Vogelsang, U. Gattermann, M. Egmont-Petersen, T. Tolxdorff, K. Bohndorf. "Implizite Texturklassifikation mittels neuronaler Netze zur Segmentierung fokaler Knochenläsionen in Röntgenübersichtsaufnahmen", In: S.J. Pöppl, H. G. Lipinski, T. Mansky T (Eds.), Medizinische Informatik: Ein integrierender Teil arztunterstützender Technologien. Medizinische Informatik, Biometrie und Epidemiologie 77, MMV Medizin Verlag, München, pp. 201-206, 1994.
  21. E. Pelikan, F. Vogelsang, B. Schulz, M. Egmont-Petersen, T. Tolxdorff, K. Bohndorf. "Röntgenbildsegmentierung durch Topologische Karten oder Multilayer Perzeptron - ein Vergleich," Proceedings of the workshop on digital image processing in medicine (Digitale Bildverarbeitung innerhalb der Medizin), Freiburg, 1994.
  22. J. Brender, J. Talmon, M. Egmont-Petersen, T. Schiøler, P. McNair, "KAVAS's framework for quality assessment of medical knowledge," In: S. Andreassen, R. Engelbrecht, J. Wyatt (Eds.), Proceedings of Artificial Intelligence in Medicine, IOS press, Amsterdam, pp. 421-424, 1993. (Abstract-P-AIM93.htm)
  23. F. Vogelsang, E. Pelikan, M. Egmont-Petersen, T. Tolxdorf, K. Bohndorf. "Segmentierung von Röntgenbildern fokaler Knochenläsionen durch neuronale Netzwerke. Optimierung durch Quality Metrics und modifizierte Contribution Analysis," In: S.J. Pöppl (Ed.), Proceedings of the 15th workshop of the German Society of Pattern Recognition (DAGM), pp. 450-459, 1993. (Abstract-P-DAGM93.htm)
  24. M. Egmont-Petersen, E. Pelikan, T. Tolxdorff, F. Vogelsang, K. Bohndorf. "Iterative development of neural networks used for detection of bone tumours in X-rays," In: Proceedings of the second danish conference on pattern recognition and image analysis, DIKU report nr. 93/17, The University of Copenhagen, pp. 132-133, 1993.
  25. E. Pelikan, M. Egmont-Petersen, F. Vogelsang, T. Tolxdorff, K. Bohndorf. "Segmentierung von Röntgenbildern durch implizite Texturklassifikation mittels neuronaler Netze - Ansätze zur Optimierung durch Contribution Analysis and Quality Metrics," Workshop - Visualisierung in der Medizin, 10 March 1993, Universität Freiburg.
  26. F. Vogelsang, E. Pelikan, M. Egmont-Petersen, T. Tolxdorff, K. Bohndorf. "Segmentierung von Röntgenbildern fokaler Knochenläsionen durch neuronale Netzwerke. Optimierung durch Quality Metrics und modifizierte Contribution Analysis," In: H. Hüning, S. Neuhauser, M. Raus, W. Ritschel (Eds.), Proceedings of the workshop on neural networks at the RWTH-Aachen, Aachen, pp. 201-210, 1993. (Abstract-P-RWTH93.htm)
  27. T. Schiøler, W. Grimson, P. Sharpe, M. Egmont-Petersen, G. Momsen, R. O'Moore, P. McNair. "Automatic decision support based on voting by independent decision support systems," Proceedings of the CCL congress, Dublin, pp. 58-66, 1992. (Abstract-C-CCL92.htm)
  28. M. Egmont-Petersen. "Homomorphic transformation from neural networks to rule bases," In: E. Mosekilde (Eds.), Proceedings of the european simulation multiconference, pp. 260-265, 1991. (Abstract-P-ESM91.htm, Full paper)
  29. M. Egmont-Petersen. "Mental models as cognitive entities," In: B. Mayoh (Ed.), Proceedings of the Scandinavian Conference on Artificial Intelligence, IOS Press, Amsterdam, pp. 205-210, 1991. (Abstract-P-SCAI91.htm)
  30. M. Egmont-Petersen. "An approach for generating explanations in neural networks," In: J. Brender & P. McNair (Eds.), Proceedings for the KAVAS Workshop on Knowledge Acquisition, Visualization, and Assessment, Computer Resources International, Copenhagen, pp. 131-136, 1990. (Abstract-P-KAVAS90.htm)


Reprints (unavailable online), please contact me: michael * egmont-petersen.nl (with * indicating @) 

 

Technical reports:

  1. J.P. Jansen, M. Egmont-Petersen, E.A. Hendriks, M.J.T. Reinders, R.J. van der Geest, P.C.W. Hogendoorn, J.H.C. Reiber. "Scale-invariant segmentation of dynamic contrast-enhanced perfusion MR-images with inherent scale selection," Technical report UU-CS-2002-10, Institute of Computer and Information Sciences, Utrecht University, 2002.  (Abstract, Full paper)
  2. B. Baesens, M. Egmont-Petersen, R. Castelo, J. Vanthienen. "Learning Bayesian network classifiers for credit scoring using Markov Chain Monte Carlo search," Technical report UU-CS-2001-58, Institute of Computer and Information Sciences, Utrecht University, 2001.  (Abstract, Full paper)
  3. H.C. van Assen, M. Egmont-Petersen, J.H.C. Reiber. "Accurate object localization in gray level images using the center of gravity measure; accuracy versus precision," Technical report UU-CS-2001-57, Institute of Computer and Information Sciences, Utrecht University, 2001.  (Abstract, Full paper)
  4. M. Egmont-Petersen. "Quality measures from machine learning", Technical report, deliverable ML-4.1a in the KAVAS-II (A2019) project, AIM-programme, 35 pages, Maastricht University, Maastricht, 1994.
  5. M. Egmont-Petersen. "Coverage of neural classifiers", DASY-paper no. 12/92, Institute of computer and systems sciences, 13 pages, 1992.
  6. M. Egmont-Petersen. "Quality of neural classifiers", DASY-paper no. 11/92, Institute of computer and systems sciences, 12 pages, 1992. This paper has been presented at an AIMCOM meeting in Brussels 1 December 1992.
  7. J. Talmon, J. Brender, M. Egmont-Petersen, V. Karthaus, P. McNair, T. Schiøler, H. Thygesen. "MLE-Quality and Conditioning", Technical Report, Deliverable no. 9: ML-4.2 in the KAVAS-II (A2019) project, AIM-programme, Maastricht University, Maastricht, 1992.
  8. M. Egmont-Petersen. "Methods and Metrics for operationalization of Quality Measures for Neural Networks", Technical report, deliverable ML-4.1 in the KAVAS-II (A2019) project, AIM-programme, 70 pages, Computer Resources International, Copenhagen, 1992.

Reprints (unavailable online), please contact me: michael * egmont-petersen.nl (with * indicating @) 

 

Meeting abstracts:

  1. M. Egmont-Petersen, B. Baesens and A. Feelders. "Using Bayesian networks for estimating the risk of default in credit scoring," International Workshop on Computational Management Science, Economics, Finance and Engineering, 28-30 March, Limassol, Cyprus, 2003. (Abstract)
  2. H.A. Vrooman, M. Egmont-Petersen, P.C.W. Hogendoorn, R.J. van der Geest, H.J. van der Woude, J.L. Bloem. "Detection of viable tumor tissue in postchemotherapy dynamic contrast-enhanced MR images of patients with Ewing's sarcoma using voxel-based pharmacokinetic modeling of the MR intensity signal," RSNA, abstract 1313, p. 405, 1999.
  3. M. Egmont-Petersen, J.P. Janssen, H.A. Vrooman, P.C.W. Hogendoorn, R.J. van der Geest, H.J. van der Woude, M.A. Nooij, J.L. Bloem, J.H.C. Reiber. "Detection of viable tumor tissue in postchemotherapy dynamic contrast-enhanced MR-images of patients with Ewing's sarcoma using voxel-based pharmacokinetic modeling of the MR intensity signal", Radiology Days, Dutch Association of Radiology, 1999.
  4. H.J. van der Woude, M. Egmont-Petersen, K.L. Verstraete, J.L. Bloem. "Perfusion tumors-post processing", ESMRMB, 1998.
  5. M. Egmont-Petersen, E. Pelikan. "Towards an explanation facility for neural networks", Presented at GMDS, Uni-Bonn, 1996. (Abstract-P-GMDS96)
  6. A.W. Ambergen, M. Egmont-Petersen. "Asymptotic distribution of an iterative estimator of a vector of missing values in a neural network", 21st European Meeting of Statisticians, Århus, p. 109, 1995.

Reprints (unavailable online), please contact me: michael * egmont-petersen.nl (with * indicating @) 

 

Example of BSIK-project: Link.