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B. Michael Kelm
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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. Medical Imaging: 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. Medical Imaging: 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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