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Michael Egmont-Petersen
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2000 – 2009
- 2007
- [j14]Perry Groot, Christian Gilissen
, Michael Egmont-Petersen:
Error probabilities for local extrema in gene expression data. Pattern Recognit. Lett. 28(15): 2133-2142 (2007) - 2005
- [j13]Michael Egmont-Petersen, A. J. Feelders, Bart Baesens:
Confidence intervals for probabilistic network classifiers. Comput. Stat. Data Anal. 49(4): 998-1019 (2005) - 2004
- [j12]Bart Baesens, Geert Verstraeten, Dirk Van den Poel
Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers. Eur. J. Oper. Res. 156(2): 508-523 (2004) - [c11]Michael Egmont-Petersen, Wim de Jonge, Arno Siebes:
Discovery of Regulatory Connections in Microarray Data. PKDD 2004: 149-160 - [c10]Michael Egmont-Petersen:
Feature Selection by Markov Chain Monte Carlo Sampling - A Bayesian Approach. SSPR/SPR 2004: 1034-1042 - 2002
- [j11]Jasper P. Janssen, Michael Egmont-Petersen, Emile A. Hendriks, Marcel J. T. Reinders, Rob J. van der Geest, P. C. W. Hogendoorn
Scale-invariant segmentation of dynamic contrast-enhanced perfusion MR images with inherent scale selection. Comput. Animat. Virtual Worlds 13(1): 1-19 (2002) - [j10]Michael Egmont-Petersen, Dick de Ridder, Heinz Handels
Image processing with neural networks - a review. Pattern Recognit. 35(10): 2279-2301 (2002) - [j9]Hans C. van Assen
Accurate object localization in gray level images using the center of gravity measure: accuracy versus precision. IEEE Trans. Image Process. 11(12): 1379-1384 (2002) - [j8]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. IEEE Trans. Medical Imaging 21(11): 1504-1516 (2002) - [c9]Bart Baesens, Michael Egmont-Petersen, Robert Castelo
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search. ICPR (3) 2002: 49-52 - 2001
- [j7]Alejandro F. Frangi
Bone tumor segmentation from MR perfusion images with neural networks using multi-scale pharmacokinetic features. Image Vis. Comput. 19(9-10): 679-690 (2001) - [c8]Linda C. van der Gaag, C. L. M. Witteman, Silja Renooij
The Effects of Disregarding Test Characteristics in Probabilistic Networks. AIME 2001: 188-198 - [c7]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. Bildverarbeitung für die Medizin 2001: 399-403 - 2000
- [j6]Michael Egmont-Petersen, U. Schreiner, S. C. Tromp, Thomas Martin Lehmann, Dick W. Slaaf, Theo Arts:
Detection of leukocytes in contact with the vessel wall from in vivo microscope recordings using a neural network. IEEE Trans. Biomed. Eng. 47(7): 941-951 (2000) - [c6]Michael Egmont-Petersen, Alejandro F. Frangi
Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features. ICPR 2000: 4080-4083
1990 – 1999
- 1999
- [j5]Michael Egmont-Petersen, Erich Pelikan:
Detection of Bone Tumours in Radiographic Images using Neural Networks. Pattern Anal. Appl. 2(2): 172-183 (1999) - [j4]Michael Egmont-Petersen, Theo Arts:
Recognition of radiopaque markers in X-ray images using a neural network as nonlinear filter. Pattern Recognit. Lett. 20(5): 521-533 (1999) - [j3]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. Pattern Recognit. Lett. 20(11-13): 1439-1448 (1999) - [c5]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. Bildverarbeitung für die Medizin 1999: 87-91 - 1998
- [j2]Michael Egmont-Petersen, Jan L. Talmon, Arie Hasman, Anton W. Ambergen:
Assessing the importance of features for multi-layer perceptrons. Neural Networks 11(4): 623-635 (1998) - [c4]U. Schreiner, Michael Egmont-Petersen, Thomas Martin Lehmann, S. C. Tromp, Dick W. Slaaf, Theo Arts:
Detektion von Leukozyten mit Hilfe neuronaler Strukturen. Bildverarbeitung für die Medizin 1998 - 1996
- [c3]Michael Egmont-Petersen, Theo Arts:
Detection of implanted markers in radiographic images sequences. Bildverarbeitung für die Medizin 1996 - 1994
- [j1]Michael Egmont-Petersen, Jan L. Talmon, Jytte Brender, Peter McNair:
On the quality of neural net classifiers. Artif. Intell. Medicine 6(5): 359-381 (1994) - 1993
- [c2]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. DAGM-Symposium 1993: 450-459 - 1991
- [c1]Michael Egmont-Petersen:
Mental Models as Cognitive Entities. SCAI 1991: 205-210
Coauthor Index
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