The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Michael Egmont-Petersen: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Linda C. van der Gaag, C. L. M. Witteman, Silja Renooij, Michael Egmont-Petersen
    The Effects of Disregarding Test Characteristics in Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    AIME, 2001, pp:188-198 [Conf]
  2. Michael Egmont-Petersen, Rob J. van der Geest, Henri A. Vrooman, P. C. W. Hogendoorn, Henk-Jan van der Woude, Jasper P. Janssen, Johan L. Bloem, Johan H. C. Reiber
    Segmentation of Dynamic Contrast-Enhanced MR-Images of Post Chemotherapy Ewing's Sarcoma with a Pharmacokinetic Model and a Neural Network. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 1999, pp:87-91 [Conf]
  3. Michael Egmont-Petersen, Theo Arts
    Detection of implanted markers in radiographic images sequences. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 1996, pp:- [Conf]
  4. Michael Egmont-Petersen, P. C. W. Hogendoorn, Rob J. van der Geest, Johan L. Bloem, Johan H. C. Reiber
    Assessment of the influence of preoperative chemotherapy in patients with osteosarcoma by dynamic contrast-enhanced MRI using pharmacokinetic modeling. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 2001, pp:399-403 [Conf]
  5. U. Schreiner, Michael Egmont-Petersen, Thomas Martin Lehmann, S. C. Tromp, D. W. Slaaf, Theo Arts
    Detektion von Leukozyten mit Hilfe neuronaler Strukturen. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 1998, pp:- [Conf]
  6. Frank Vogelsang, Erich Pelikan, Michael Egmont-Petersen, Thomas Tolxdorff, K. Bohndorf
    Segmentierung von Röntgenbildern fokaler Knochenläsionen durch neuronale Netzwerke - Optimierung durch Quality Metrics und modifizierte Contribution Analysis. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1993, pp:450-459 [Conf]
  7. Bart Baesens, Michael Egmont-Petersen, Robert Castelo, Jan Vanthienen
    Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2002, pp:49-52 [Conf]
  8. Michael Egmont-Petersen, Alejandro F. Frangi, Wiro J. Niessen, P. C. W. Hogendoorn, Johan L. Bloem, Max A. Viergever, Johan H. C. Reiber
    Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:4080-4083 [Conf]
  9. Michael Egmont-Petersen, Wim de Jonge, Arno Siebes
    Discovery of Regulatory Connections in Microarray Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:149-160 [Conf]
  10. Michael Egmont-Petersen
    Mental Models as Cognitive Entities. [Citation Graph (0, 0)][DBLP]
    SCAI, 1991, pp:205-210 [Conf]
  11. Michael Egmont-Petersen
    Feature Selection by Markov Chain Monte Carlo Sampling - A Bayesian Approach. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:1034-1042 [Conf]
  12. Michael Egmont-Petersen, Jan L. Talmon, J. Brender, P. McNair
    On the quality of neural net classifiers. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1994, v:6, n:5, pp:359-381 [Journal]
  13. Alejandro F. Frangi, Michael Egmont-Petersen, Wiro J. Niessen, Johan H. C. Reiber, Max A. Viergever
    Bone tumor segmentation from MR perfusion images with neural networks using multi-scale pharmacokinetic features. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2001, v:19, n:9-10, pp:679-690 [Journal]
  14. Jasper P. Janssen, Michael Egmont-Petersen, Emile A. Hendriks, Marcel J. T. Reinders, Rob J. van der Geest, P. C. W. Hogendoorn, Johan H. C. Reiber
    Scale-invariant segmentation of dynamic contrast-enhanced perfusion MR images with inherent scale selection. [Citation Graph (0, 0)][DBLP]
    Journal of Visualization and Computer Animation, 2002, v:13, n:1, pp:1-19 [Journal]
  15. Michael Egmont-Petersen, Jan L. Talmon, Arie Hasman, Anton W. Ambergen
    Assessing the importance of features for multi-layer perceptrons. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1998, v:11, n:4, pp:623-635 [Journal]
  16. Michael Egmont-Petersen, Erich Pelikan
    Detection of Bone Tumours in Radiographic Images using Neural Networks. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 1999, v:2, n:2, pp:172-183 [Journal]
  17. Michael Egmont-Petersen, D. de Ridder, H. Handels
    Image processing with neural networks - a review. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2002, v:35, n:10, pp:2279-2301 [Journal]
  18. Michael Egmont-Petersen, Theo Arts
    Recognition of radiopaque markers in X-ray images using a neural network as nonlinear filter. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:5, pp:521-533 [Journal]
  19. Michael Egmont-Petersen, W. R. M. Dassen, Johan H. C. Reiber
    Sequential selection of discrete features for neural networks - A Bayesian approach to building a cascade. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1439-1448 [Journal]
  20. Hans C. van Assen, Michael Egmont-Petersen, Johan H. C. Reiber
    Accurate object localization in gray level images using the center of gravity measure: accuracy versus precision. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2002, v:11, n:12, pp:1379-1384 [Journal]
  21. Neculai Archip, Pierre-Jean Erard, Michael Egmont-Petersen, Jean-Marie Haefliger, Jean-Francois Germond
    A Knowledge-Based Approach to Automatic Detection of the Spinal Cord in CT Images. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2002, v:21, n:11, pp:1504-1516 [Journal]
  22. Michael Egmont-Petersen, A. J. Feelders, Bart Baesens
    Confidence intervals for probabilistic network classifiers. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2005, v:49, n:4, pp:998-1019 [Journal]
  23. Bart Baesens, Geert Verstraeten, Dirk Van den Poel, Michael Egmont-Petersen, Patrick Van Kenhove, Jan Vanthienen
    Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2004, v:156, n:2, pp:508-523 [Journal]
  24. Perry Groot, Christian Gilissen, Michael Egmont-Petersen
    Error probabilities for local extrema in gene expression data. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2007, v:28, n:15, pp:2133-2142 [Journal]

Search in 0.005secs, Finished in 0.006secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002