B. Michael Kelm

Publication Activity (10 Years)

Years Active: 2006-2016
Publications (10 Years): 1

Top Topics

Mammographic Images

Computed Tomography Angiography

Computer Vision

Top Venues

Medical Image Anal.

Medical Imaging: Computer-Aided Diagnosis

Publications

Nachiko Uchiyama, Mari Kikuchi, Minoru Machida, Yasuaki Arai, Ryusuke Murakami, Kyoichi Otsuka, Anna K. Jerebko, B. Michael Kelm, Thomas Mertelmeier
Diagnostic Usefulness of Synthetic MMG (SMMG) with DBT (Digital Breast Tomosynthesis) for Clinical Setting in Breast Cancer Screening. Digital Mammography / IWDM (2016)
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, Maria A. Zuluaga, Julián Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, B. Michael Kelm, Saïd Mahmoudi, Sébastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, Kawal S. Rhode
Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Trans. Medical Imaging 34 (7) (2015)
Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Weidong Cai, Dimitris N. Metaxas
Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015). MCV@MICCAI (2015)
Felix Lugauer, Yefeng Zheng, Joachim Hornegger, B. Michael Kelm
Precise Lumen Segmentation in Coronary Computed Tomography Angiography. MCV (2014)
Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas
Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014). MCV (2014)
Alexey Tsymbal, Eugen Meissner, B. Michael Kelm, Martin Kramer
Towards cloud-based image-integrated similarity search in big data. BHI (2014)
Felix Lugauer, Jingdan Zhang, Yefeng Zheng, Joachim Hornegger, B. Michael Kelm
Improving accuracy in coronary lumen segmentation via explicit calcium exclusion, learning-based ray detection and surface optimization. Medical Imaging: Image Processing (2014)
Florin C. Ghesu, Michael Wels, Anna K. Jerebko, Michael Sühling, Joachim Hornegger, B. Michael Kelm
Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography. MCV (2013)
B. Michael Kelm, Michael Wels, Shaohua Kevin Zhou, Sascha Seifert, Michael Sühling, Yefeng Zheng, Dorin Comaniciu
Spine detection in CT and MR using iterated marginal space learning. Medical Image Anal. 17 (8) (2013)
Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Zhuowen Tu, Oscar Alfonso Jiménez del Toro
Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013). MCV (2013)
Hengameh Mirzaalian, Michael Wels, Tobias Heimann, B. Michael Kelm, Michael Sühling
Fast and robust 3D vertebra segmentation using statistical shape models. EMBC (2013)
Michael Wels, B. Michael Kelm, Matthias Hammon, Anna K. Jerebko, Michael Sühling, Dorin Comaniciu
Data-Driven Breast Decompression and Lesion Mapping from Digital Breast Tomosynthesis. MICCAI (1) (2012)
Michael Wels, B. Michael Kelm, Alexey Tsymbal, Matthias Hammon, Grzegorz Soza, Michael Sühling, Alexander Cavallaro, Dorin Comaniciu
Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control. Medical Imaging: Computer-Aided Diagnosis (2012)
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)
Bjoern H. Menze, B. Michael Kelm, Daniel Nicolas Splitthoff, Ullrich Köthe, Fred A. Hamprecht
On Oblique Random Forests. ECML/PKDD (2) (2011)
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)
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. Medical Imaging 28 (10) (2009)
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 Bioinform. 10 (2009)
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)
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)
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)
B. Michael Kelm, Chris Pal, Andrew McCallum
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning. ICPR (2) (2006)
B. Michael Kelm, Natalie Mueller, Bjoern H. Menze, Fred A. Hamprecht
Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM. CVPR Workshops (2006)
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)