Profil

Maus Bärbel

See author's contact details
Main Referenced Co-authors
Berger, Martijn P F (6)
van Breukelen, Gerard J P (6)
Goebel, R. (4)
van Breukelen, G. J. P. (4)
Van Steen, Kristel  (4)
Main Referenced Keywords
Algorithms (2); fMRI (2); optimal design (2); Asthma (1); Automated pattern recognition (1);
Main Referenced Disciplines
Neurosciences & behavior (12)
Genetics & genetic processes (7)
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others (5)
Mathematics (4)
Immunology & infectious disease (1)

Publications (total 20)

The most downloaded
3 downloads
Maus, B., Van Breukelen, G. J. P., Goebel, R., & Berger, M. P. F. (2009). Optimization of blocked designs in fMRI studies. NeuroImage, 47 (Supplement 1), 125. https://hdl.handle.net/2268/127069

The most cited

154 citations (Scopus®)

Bachert, C., Van Steen, K., Zhang, N., Holtappels, G., Cattaert, T., Maus, B., Buhl, R., Taube, C., Korn, S., Kowalski, M., Bousquet, J., & Howarth, P. (2012). Specific IgE against Staphylococcus aureus enterotoxins: An independent risk factor for asthma. Journal of Allergy and Clinical Immunology, 130 (2), 376-381.e8. doi:10.1016/j.jaci.2012.05.012 https://hdl.handle.net/2268/129630

Maus, B., & van Breukelen, G. J. P. (March 2012). Optimale experimentele studies voor functionele MRI. STAtOR, 13 (1), 23-26.

Maus, B., Génin, E., Mahachie John, J., & Van Steen, K. (2012). Inference and comparison of different genetic stratification techniques [Paper presentation]. Capita Selecta in Complex Disease Analysis (CSCDA) 2012, Liège, Belgium.

Maus, B., van Breukelen, G. J. P., Goebel, R., & Berger, M. P. F. (2012). Optimal design for nonlinear estimation of the hemodynamic response function. Human Brain Mapping, 33 (6), 1253-1267. doi:10.1002/hbm.21289
Peer Reviewed verified by ORBi

Aschard, H., Lutz, S., Maus, B., Duell, E. J., Fingerlin, T. E., Chatterjee, N., Kraft, P., & Van Steen, K. (2012). Challenges and opportunities in genome-wide environmental interaction (GWEI) studies. Human Genetics, 131, 1591-1613. doi:10.1007/s00439-012-1192-0
Peer Reviewed verified by ORBi

Bachert, C., Van Steen, K., Zhang, N., Holtappels, G., Cattaert, T., Maus, B., Buhl, R., Taube, C., Korn, S., Kowalski, M., Bousquet, J., & Howarth, P. (2012). Specific IgE against Staphylococcus aureus enterotoxins: An independent risk factor for asthma. Journal of Allergy and Clinical Immunology, 130 (2), 376-381.e8. doi:10.1016/j.jaci.2012.05.012
Peer Reviewed verified by ORBi

Maus, B., Génin, E., Mahachie John, J., & Van Steen, K. (2012). Clustering of Crohn’s disease patients: Identification of sub-phenotypes and population stratification. Genetic Epidemiology, 36 (7), 729.
Peer reviewed

Maus, B., Génin, E., Mahachie John, J., & Van Steen, K. (2012). Clustering of Crohn’s disease patients: Identification of sub-phenotypes and population stratification [Poster presentation]. Annual Meeting of the International Genetic Epidemiology Society, Stevenson, United States.

Maus, B., van Breukelen, G. J. P., Goebel, R., & Berger, M. P. F. (2011). Optimal multi-subject fMRI experiments [Paper presentation]. KNAW Colloquium 'Cost-efficient and Optimal Designs for Social and Biomedical Research', Amsterdam, Netherlands.

Maus, B., van Breukelen, G. J. P., Goebel, R., & Berger, M. P. F. (2011). Optimal and robust event-related designs for fMRI [Paper presentation]. International Conference on Design of Experiments, Memphis, United States.

Maus, B., van Breukelen, G. J. P., Goebel, R., & Berger, M. P. F. (2011). Optimal design of multi-subject blocked fMRI experiments. NeuroImage, 56 (3), 1338-1352. doi:10.1016/j.neuroimage.2011.03.019
Peer Reviewed verified by ORBi

Maus, B. (2011). Optimal experimental designs for funtional magnetic resonance imaging [Doctoral thesis, Maastricht University]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/113765

Maus, B., van Breukelen, G. J. P., Goebel, R., & Berger, M. P. F. (2010). Optimization of blocked designs in fMRI studies. Psychometrika, 75 (2), 373–390. doi:10.1007/s11336-010-9159-3
Peer Reviewed verified by ORBi

Maus, B., van Breukelen, G. J. P., Goebel, R., & Berger, M. P. F. (2010). Robustness of optimal design of fMRI experiments with application of a genetic algorithm. NeuroImage, 49 (3), 2433-2443. doi:10.1016/j.neuroimage.2009.10.004
Peer Reviewed verified by ORBi

Maus, B., van Breukelen, G. J. P., Goebel, R., & Berger, M. P. F. (2010). Optimal design for functional magnetic resonance imaging (fMRI) experiments based on linear models [Paper presentation]. International Conference on Trends and Perspectives in Linear Statistical Inference, Tomar, Portugal.

Maus, B., Van Breukelen, G. J. P., Goebel, R., & Berger, M. P. F. (2009). Optimization of blocked designs in fMRI studies. NeuroImage, 47 (Supplement 1), 125.
Peer Reviewed verified by ORBi

Maus, B., van Breukelen, G. J. P., Goebel, R., & Berger, M. P. F. (2009). Optimisation of blocked designs in fMRI studies [Poster presentation]. Human Brain Mapping, San Francisco, United States.

Vollmar, T., Maus, B., Wurtz, R. P., Gillessen-Kaesbach, G., Horsthemke, B., Wieczorek, D., & Boehringer, S. (2008). Impact of geometry and viewing angle on classification accuracy of 2D based analysis of dysmorphic faces. European Journal of Medical Genetics, 51 (1), 44-53. doi:10.1016/j.ejmg.2007.10.002
Peer Reviewed verified by ORBi

Maus, B., van Breukelen, G. J. P., Goebel, R., & Berger, M. P. F. (2008). Optimisation of blocked designs in fMRI studies [Poster presentation]. Designed Experiments: Recent Advances in Methods and Applications (DEMA2008), Cambridge, United Kingdom.

Maus, B. (2006). Ein nichtparametrisches Monitoringverfahren zur fruehzeitigen Erkennung genetischer Effekte [Master’s dissertation, RUB - Ruhr-Universität Bochum]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/113764

Maus, B., Vollmar, T., Tasse, C., Gillesen-Kaesbach, G., Würtz, R. P., Horsthemke, B., Wieczorek, D., & Boehringer, S. (2006). Teasing out information from 2D pictures of dysmorphic faces: finding a model for integrated side and frontal views and age effects yields accuracy of > 90% in syndrome classification [Poster presentation]. Annual Meeting of the German Society for Human Genetics, Heidelberg, Germany.

Contact ORBi