B. Michael Kelm

	2011
10		Bjoern H. Menze, B. Michael Kelm, Daniel Nicolas Splitthoff, Ullrich Köthe, Fred A. Hamprecht: On Oblique Random Forests. ECML/PKDD (2) 2011: 453-469
9		B. Michael Kelm, Sushil Mittal, Yefeng Zheng, Alexey Tsymbal, Dominik Bernhardt, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu: Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. MICCAI (3) 2011: 25-32
	2010
8		B. Michael Kelm, Shaohua Kevin Zhou, Michael Sühling, Yefeng Zheng, Michael Wels, Dorin Comaniciu: Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning. MCV 2010: 96-105
	2009
7		Bjoern H. Menze, B. Michael Kelm, Ralf Masuch, Uwe Himmelreich, Peter Bachert, Wolfgang Petrich, Fred A. Hamprecht: A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data. BMC Bioinformatics 10: (2009)
6		B. Michael Kelm, Bjoern H. Menze, Oliver Nix, Christian M. Zechmann, Fred A. Hamprecht: Estimating Kinetic Parameter Maps From Dynamic Contrast-Enhanced MRI Using Spatial Prior Knowledge. IEEE Trans. Med. Imaging 28(10): 1534-1547 (2009)
	2007
5		L. Görlitz, Bjoern H. Menze, Marc-André Weber, B. Michael Kelm, Fred A. Hamprecht: Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields. DAGM-Symposium 2007: 224-233
	2006
4		Bjoern H. Menze, B. Michael Kelm, Daniel Heck, Matthias Lichy, Fred A. Hamprecht: Machine-Based Rejection of Low-Quality Spectra and Estimation of Brain Tumor Probabilities from Magnetic Resonance Spectroscopic Images. Bildverarbeitung für die Medizin 2006: 31-35
3		B. Michael Kelm, Bjoern H. Menze, T. Neff, Christian M. Zechmann, Fred A. Hamprecht: CLARET: A Tool for Fully Automated Evaluation of MRSI with Pattern Recognition Methods. Bildverarbeitung für die Medizin 2006: 51-55
2		Bjoern H. Menze, B. Michael Kelm, Fred A. Hamprecht: From Eigenspots to Fisherspots - Latent Spaces in the Nonlinear Detection of Spot Patterns in a Highly Varying Background. GfKl 2006: 255-262
1		B. Michael Kelm, Chris Pal, Andrew McCallum: Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning. ICPR (2) 2006: 828-832

Coauthor Index

1	Peter Bachert	[7]
2	Dominik Bernhardt	[9]
3	Dorin Comaniciu	[8] [9]
4	L. Görlitz	[5]
5	Fred A. Hamprecht	[2] [3] [4] [5] [6] [7] [10]
6	Daniel Heck	[4]
7	Fernando Vega Higuera (Fernando Vega)	[9]
8	Uwe Himmelreich	[7]
9	Ullrich Köthe	[10]
10	Matthias Lichy (Mattias Lichy)	[4]
11	Ralf Masuch	[7]
12	Andrew McCallum	[1]
13	Peter Meer	[9]
14	Björn H. Menze (Bjoern H. Menze)	[2] [3] [4] [5] [6] [7] [10]
15	Sushil Mittal	[9]
16	T. Neff	[3]
17	Oliver Nix	[6]
18	Christopher J. Pal (Chris Pal)	[1]
19	Wolfgang Petrich	[7]
20	Daniel Nicolas Splitthoff	[10]
21	Michael Sühling	[8]
22	Alexey Tsymbal	[9]
23	Marc-André Weber	[5]
24	Michael Wels	[8]
25	Christian M. Zechmann	[3] [6]
26	Yefeng Zheng	[8] [9]
27	Shaohua Kevin Zhou	[8] [9]

Colors in the list of coauthors

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