CLARET: A Tool for Fully Automated Evaluation of MRSI with Pattern Recognition Methods. - B. Michael Kelm; Bjoern H. Menze; Thomas Neff; Christian M. Zechmann; Fred A. Hamprecht (Bildverarbeitung für die Medizin, 2006)

Machine-Based Rejection of Low-Quality Spectra and Estimation of Brain Tumor Probabilities from Magnetic Resonance Spectroscopic Images. - Bjoern H. Menze; B. Michael Kelm; Daniel Heck; Matthias Lichy; Fred A. Hamprecht (Bildverarbeitung für die Medizin, 2006)

Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM. - B. Michael Kelm; Natalie Mueller; Bjoern H. Menze; Fred A. Hamprecht (CVPR Workshops, 2006)

From Eigenspots to Fisherspots - Latent Spaces in the Nonlinear Detection of Spot Patterns in a Highly Varying Background. - Bjoern H. Menze; B. Michael Kelm; Fred A. Hamprecht (GfKl, 2006)

Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning. - B. Michael Kelm; Chris Pal; Andrew McCallum (ICPR (2), 2006)

Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields. - L. Görlitz; Bjoern H. Menze; Marc-André Weber; B. Michael Kelm; Fred A. Hamprecht (DAGM-Symposium, 2007)

A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data. - Bjoern H. Menze; B. Michael Kelm; Ralf Masuch; Uwe Himmelreich; Peter Bachert; Wolfgang Petrich; Fred A. Hamprecht (BMC Bioinform., 2009)

Estimating Kinetic Parameter Maps From Dynamic Contrast-Enhanced MRI Using Spatial Prior Knowledge. - B. Michael Kelm; Bjoern H. Menze; Oliver Nix; Christian M. Zechmann; Fred A. Hamprecht (IEEE Trans. Medical Imaging, 2009)

Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning. - B. Michael Kelm; Shaohua Kevin Zhou; Michael Sühling; Yefeng Zheng 001; Michael Wels; Dorin Comaniciu (MCV, 2010)

Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. - B. Michael Kelm; Sushil Mittal; Yefeng Zheng 001; Alexey Tsymbal; Dominik Bernhardt; Fernando Vega Higuera; Shaohua Kevin Zhou; Peter Meer; Dorin Comaniciu (MICCAI (3), 2011)

On Oblique Random Forests. - Bjoern H. Menze; B. Michael Kelm; Daniel Nicolas Splitthoff; Ullrich Köthe; Fred A. Hamprecht (ECML/PKDD (2), 2011)

Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control. - Michael Wels; B. Michael Kelm; Alexey Tsymbal; Matthias Hammon; Grzegorz Soza; Michael Sühling; Alexander Cavallaro; Dorin Comaniciu (Computer-Aided Diagnosis, 2012)

Data-Driven Breast Decompression and Lesion Mapping from Digital Breast Tomosynthesis. - Michael Wels; B. Michael Kelm; Matthias Hammon; Anna K. Jerebko; Michael Sühling; Dorin Comaniciu (MICCAI (1), 2012)

Fast and robust 3D vertebra segmentation using statistical shape models. - Hengameh Mirzaalian; Michael Wels; Tobias Heimann; B. Michael Kelm; Michael Sühling (EMBC, 2013)

Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography. - Florin C. Ghesu; Michael Wels; Anna K. Jerebko; Michael Sühling; Joachim Hornegger; B. Michael Kelm (MCV, 2013)

Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013). - Henning Müller; Bjoern H. Menze; Georg Langs; Albert Montillo; B. Michael Kelm; Zhuowen Tu; Oscar Alfonso Jiménez del Toro (MCV, 2013)

Spine detection in CT and MR using iterated marginal space learning. - B. Michael Kelm; Michael Wels; Shaohua Kevin Zhou; Sascha Seifert; Michael Sühling; Yefeng Zheng 001; Dorin Comaniciu (Medical Image Anal., 2013)

Towards cloud-based image-integrated similarity search in big data. - Alexey Tsymbal; Eugen Meissner; B. Michael Kelm; Martin Kramer (BHI, 2014)

Precise Lumen Segmentation in Coronary Computed Tomography Angiography. - Felix Lugauer; Yefeng Zheng 001; Joachim Hornegger; B. Michael Kelm (MCV, 2014)

Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014). - Henning Müller; Bjoern H. Menze; Georg Langs; Albert Montillo; B. Michael Kelm; Shaoting Zhang 001; Tom Weidong Cai; Dimitris N. Metaxas (MCV, 2014)

Improving accuracy in coronary lumen segmentation via explicit calcium exclusion, learning-based ray detection and surface optimization. - Felix Lugauer; Jingdan Zhang; Yefeng Zheng 001; Joachim Hornegger; B. Michael Kelm (Image Processing, 2014)

Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015). - Henning Müller; Bjoern H. Menze; Georg Langs; Albert Montillo; B. Michael Kelm; Shaoting Zhang 001; Weidong Cai 001; Dimitris N. Metaxas (MCV@MICCAI, 2015)

Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. - Catalina Tobon-Gomez; Arjan J. Geers; Jochen Peters; Jürgen Weese; Karen Pinto; Rashed Karim; Mohammed Ammar; Abdelaziz Daoudi; Ján Margeta; Zulma L. Sandoval; Birgit Stender; Yefeng Zheng 001; et al. (IEEE Trans. Medical Imaging, 2015)

Diagnostic Usefulness of Synthetic MMG (SMMG) with DBT (Digital Breast Tomosynthesis) for Clinical Setting in Breast Cancer Screening. - Nachiko Uchiyama; Mari Kikuchi; Minoru Machida; Yasuaki Arai; Ryusuke Murakami; Kyoichi Otsuka; Anna K. Jerebko; B. Michael Kelm; Thomas Mertelmeier (Digital Mammography / IWDM, 2016)