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IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|October 16, 2004
Comparison of two exploratory data analysis methods for fMRI: unsupervised clustering versus independent component analysisA Meyer-Baese, Axel Wismueller, Oliver Lange
Advances in Experimental Medicine and Biology|September 25, 2010
Robust stability analysis and design under consideration of multiple feedback loops of the tryptophan regulatory network of Escherichia coliA Meyer-Baese, F Theis, M R Emmett
IEEE Transactions on Neural Networks|February 2, 2008
Global exponential stability of competitive neural networks with different time scalesA Meyer-Baese, S S Pilyugin, Y Chen
International Journal of Biomedical Imaging|April 10, 2010
Small lesions evaluation based on unsupervised cluster analysis of signal-intensity time courses in dynamic breast MRIA Meyer-Baese, T Schlossbauer, O Lange, et al.
Proceedings. International Conference on Image Processing|November 17, 2009
COMPUTER-AIDED DIAGNOSIS AND VISUALIZATION BASED ON CLUSTERING AND INDEPENDENT COMPONENT ANALYSIS FOR BREAST MRIA Meyer-Baese, O Lange, T Schlossbauer, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|October 5, 2007
Analysis of dynamic susceptibility contrast MRI time series based on unsupervised clustering methodsA Meyer-Baese, O Lange, A Wismueller, et al.
IEEE Transactions on Medical Imaging|January 10, 2006
Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-seriesA Wismüller, A Meyer-Baese, O Lange, et al.
Medical Physics|February 13, 2019
Technical Note: A comparison of point set registration methods for electromagnetic trackingT I Götz, H Wankerl, A M Tomé, et al.
European Radiology|April 25, 2016
Inter- and intra-observer agreement of BI-RADS-based subjective visual estimation of amount of fibroglandular breast tissue with magnetic resonance imaging: comparison to automated quantitative assessmentG J Wengert, T H Helbich, R Woitek, et al.
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