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2010 – 2019
- 2017
[e4]Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, Manual Jorge Cardoso, Georg Langs, Bjoern H. Menze
, Dimitris N. Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C. S. Chung, Mark Jenkinson, Annemie Ribbens:
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10081, Springer 2017, ISBN 978-3-319-61187-7 [contents]- 2016
- [c20]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: 59-67 - [e3]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9601, Springer 2016, ISBN 978-3-319-42015-8 [contents] - 2015
- [j4]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): 1460-1473 (2015) - [c19]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: 3-9 - 2014
- [c18]Alexey Tsymbal, Eugen Meissner, B. Michael Kelm, Martin Kramer:
Towards cloud-based image-integrated similarity search in big data. BHI 2014: 593-596 - [c17]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: 3-10 - [c16]Felix Lugauer, Yefeng Zheng, Joachim Hornegger, B. Michael Kelm:
Precise Lumen Segmentation in Coronary Computed Tomography Angiography. MCV 2014: 137-147 - [c15]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. Image Processing 2014: 90343U - [e2]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Zhuowen Tu:
Medical Computer Vision. Large Data in Medical Imaging - Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8331, Springer 2014, ISBN 978-3-319-05529-9 [contents] - [e1]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8848, Springer 2014, ISBN 978-3-319-13971-5 [contents] - 2013
- [j3]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): 1283-1292 (2013) - [c14]Hengameh Mirzaalian, Michael Wels, Tobias Heimann, B. Michael Kelm, Michael Sühling:
Fast and robust 3D vertebra segmentation using statistical shape models. EMBC 2013: 3379-3382 - [c13]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: 3-10 - [c12]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: 148-157 - 2012
- [c11]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. Computer-Aided Diagnosis 2012: 831513 - [c10]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: 438-446 - 2011
- [c9]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 - [c8]Bjoern H. Menze, B. Michael Kelm, Daniel Nicolas Splitthoff, Ullrich Köthe, Fred A. Hamprecht:
On Oblique Random Forests. ECML/PKDD (2) 2011: 453-469 - 2010
- [c7]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
2000 – 2009
- 2009
- [j2]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) - [j1]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): 1534-1547 (2009) - 2007
- [c6]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
- [c5]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 - [c4]B. Michael Kelm, Bjoern H. Menze, Thomas 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 - [c3]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: 96 - [c2]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 - [c1]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
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