M. Egmont-Petersen

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Image processing with neural networks - a review

Michael Egmont-Petersen, Heinz Handels, Dick de Ridder, 2002, Pattern Recognit..

An explanation facility for a neural network trained to predict atrial fibrillation directly after cardiac surgery

M. Egmont-Petersen, W. Dassen, C.J.H.J. Kirchlof, 1998, Computers in Cardiology 1998. Vol. 25 (Cat. No.98CH36292).

Artificial Neural Networks in Cardiology; A Review

M. Egmont-Petersen, W. Dassen, R. Mulleneers, 1998 .

Reconstruction of a functional human gene network, with an application for prioritizing positional candidate genes.

C. Wijmenga, M. Egmont-Petersen, L. Franke, 2006, American journal of human genetics.

Assessing the importance of features for multi-layer perceptrons

Arie Hasman, Michael Egmont-Petersen, Jan L. Talmon, 1998, Neural Networks.

Genome-wide Copy Number Profiling on High-density Bacterial Artificial Chromosomes, Single-nucleotide Polymorphisms, and Oligonucleotide Microarrays: A Platform Comparison based on Statistical Power Analysis

Michael Egmont-Petersen, Jayne Y. Hehir-Kwa, Joris A. Veltman, 2007, DNA research : an international journal for rapid publication of reports on genes and genomes.

Contribution analysis of multi-layer perceptrons. Estimation of the input sources' importance for the classification

Erich Pelikan, J. L. Talmon, M. Egmont-Petersen, 1994 .

Measuring regional hypertrophy by radiopaque myocardial markers viewed in 3D with a single X-ray camera

M. Egmont-Petersen, F. Prinzen, T. Arts, 1997, Computers in Cardiology 1997.

Detection of areas with viable remnant tumor in postchemotherapy patients with Ewing's sarcoma by dynamic contrast-enhanced MRI using pharmacokinetic modeling.

H A Vrooman, R J van der Geest, M Egmont-Petersen, 2000, Magnetic resonance imaging.

Contrast-enhanced Magnetic Resonance Imaging of Bone Marrow

M. Egmont-Petersen, H. van der Woude, Henk-Jan Van der Woude1, 2001, Seminars in musculoskeletal radiology.

Arts syndrome is caused by loss-of-function mutations in PRPS1.

M. Egmont-Petersen, S. Nabuurs, A. V. van Kuilenburg, 2007, American journal of human genetics.

Scale-invariant segmentation of dynamic contrast-enhanced perfusion MR images with inherent scale selection

Marcel J. T. Reinders, Emile A. Hendriks, Michael Egmont-Petersen, 2002, Comput. Animat. Virtual Worlds.

On the quality of neural net classifiers

Michael Egmont-Petersen, Jan L. Talmon, Jytte Brender, 1994, Artif. Intell. Medicine.

A knowledge-based approach to automatic detection of the spinal cord in CT images

Michael Egmont-Petersen, Neculai Archip, Pierre-Jean Erard, 2002, IEEE Transactions on Medical Imaging.

Discovery of Regulatory Connections in Microarray Data

Michael Egmont-Petersen, Wim de Jonge, Arno Siebes, 2004, PKDD.

Bone tumor segmentation from MR perfusion images with neural networks using multi-scale pharmacokinetic features

Alejandro F. Frangi, Max A. Viergever, Wiro J. Niessen, 2001, Image Vis. Comput..

Segmentation of bone tumor in MR perfusion images using neural networks and multiscale pharmacokinetic features

Alejandro F. Frangi, Wiro J. Niessen, Michael Egmont-Petersen, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Automated calibration in vascular X-ray images using the accurate localization of catheter marker bands.

H A Vrooman, M Egmont-Petersen, M. Egmont-Petersen, 2000, Investigative radiology.

Accurate object localization in gray level images using the center of gravity measure: accuracy versus precision

Michael Egmont-Petersen, Johan H. C. Reiber, Hans C. van Assen, 2002, IEEE Trans. Image Process..

Nonlinear image processing using artificial neural networks

Robert P. W. Duin, Michael Egmont-Petersen, Piet W. Verbeek, 2003 .

Robustness metrics for measuring the influence of additive noise on the performance of statistical classifiers.

A Hasman, J L Talmon, M Egmont-Petersen, 1997, International journal of medical informatics.

Analysis of the In Vitro Transcriptional Response of Human Pharyngeal Epithelial Cells to Adherent Streptococcus pneumoniae: Evidence for a Distinct Response to Encapsulated Strains

M. Egmont-Petersen, P. Hermans, H. Bootsma, 2007, Infection and Immunity.

Sequential selection of discrete features for neural networks - A Bayesian approach to building a cascade

Michael Egmont-Petersen, Johan H. C. Reiber, W. R. M. Dassen, 1999, Pattern Recognit. Lett..

Faculteit Economie En Bedrijfskunde Hoveniersberg 24 B-9000 Gent Bayesian Network Classifiers for Identifying the Slope of the Customer Lifecycle of Long-life Customers Bayesian Network Classifiers for Identifying the Slope of the Customer Lifecycle of Long-life Customers

Bart Baesens, Jan Vanthienen, Michael Egmont-Petersen, 2022 .

Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers

D. V. Poel, B. Baesens, M. Egmont-Petersen, 2004, Eur. J. Oper. Res..

Detection of Bone Tumours in Radiographic Images using Neural Networks

Michael Egmont-Petersen, Erich Pelikan, M. Egmont-Petersen, 1999, Pattern Analysis & Applications.