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Analytical and Bioanalytical Chemistry|January 24, 2007
Multivariate feature selection and hierarchical classification for infrared spectroscopy: serum-based detection of bovine spongiform encephalopathyBjoern H Menze, Wolfgang Petrich, Fred A HamprechtMagnetic Resonance in Medicine|April 19, 2008
Mimicking the human expert: pattern recognition for an automated assessment of data quality in MR spectroscopic imagesBjoern H Menze, B Michael Kelm, Marc-André Weber, et al.IEEE Transactions on Medical Imaging|April 17, 2009
Estimating kinetic parameter maps from dynamic contrast-enhanced MRI using spatial prior knowledgeBernd Michael Kelm, Bjoern H Menze, Oliver Nix, et al.Magnetic Resonance in Medicine|December 28, 2006
Automated estimation of tumor probability in prostate magnetic resonance spectroscopic imaging: pattern recognition vs quantificationB Michael Kelm, Bjoern H Menze, Christian M Zechmann, et al.BMC Bioinformatics|July 14, 2009
A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral dataBjoern H Menze, B Michael Kelm, Ralf Masuch, et al.NMR in Biomedicine|May 4, 2011
Using spatial prior knowledge in the spectral fitting of MRS imagesB Michael Kelm, Frederik O Kaster, Anke Henning, et al.Journal of Proteome Research|August 19, 2008
Robust prediction of the MASCOT score for an improved quality assessment in mass spectrometric proteomicsThomas Koenig, Bjoern H Menze, Marc Kirchner, et al.Academic Radiology|May 15, 2012
Automated vs. manual pattern recognition of 3D (1)H MRSI data of patients with prostate cancerChristian M Zechmann, Bjoern H Menze, B Michael Kelm, et al.Proceedings of the National Academy of Sciences of the United States of America|March 21, 2012
Mapping patterns of long-term settlement in Northern Mesopotamia at a large scaleBjoern H Menze, Jason A UrComputerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 6, 2014
Computer-aided diagnosis from weak supervision: a benchmarking studyMelih Kandemir, Fred A HamprechtPageof 13