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 - 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; et al. (Springer, 2017)

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 (Breast Imaging - 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings, 2016)

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 - Bjoern H. Menze; Georg Langs; Albert Montillo; B. Michael Kelm; Henning Müller; Shaoting Zhang; Tom Weidong Cai; Dimitris N. Metaxas (Springer, 2016)

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; et al. (IEEE Trans. Medical Imaging, 2015)

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; 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, 2015)

Towards cloud-based image-integrated similarity search in big data - Alexey Tsymbal; Eugen Meissner; B. Michael Kelm; Martin Kramer (Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014, Valencia, Spain, June 1-4, 2014, 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; 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, 2014)

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

Improving accuracy in coronary lumen segmentation via explicit calcium exclusion, learning-based ray detection and surface optimization - Felix Lugauer; Jingdan Zhang; Yefeng Zheng; Joachim Hornegger; B. Michael Kelm (Medical Imaging 2014: Image Processing, San Diego, California, USA, February 16-18, 2014, 2014)

Medical Computer Vision. Large Data in Medical Imaging - Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers - Bjoern H. Menze; Georg Langs; Albert Montillo; B. Michael Kelm; Henning Müller; Zhuowen Tu (Springer, 2014)

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 - Bjoern H. Menze; Georg Langs; Albert Montillo; B. Michael Kelm; Henning Müller; Shaoting Zhang; Tom Weidong Cai; Dimitris N. Metaxas (Springer, 2014)

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; Dorin Comaniciu (Medical Image Anal., 2013)

Fast and robust 3D vertebra segmentation using statistical shape models - Hengameh Mirzaalian; Michael Wels; Tobias Heimann; B. Michael Kelm; Michael Sühling (35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, July 3-7, 2013, 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 (Medical Computer Vision. Large Data in Medical Imaging - Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers, 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 (Medical Computer Vision. Large Data in Medical Imaging - Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers, 2013)

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 (Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, California, United States, 4-9 February 2012, 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 (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I, 2012)

Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography - B. Michael Kelm; Sushil Mittal; Yefeng Zheng; Alexey Tsymbal; Dominik Bernhardt; Fernando Vega Higuera; Shaohua Kevin Zhou; Peter Meer; Dorin Comaniciu (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III, 2011)

On Oblique Random Forests - Bjoern H. Menze; B. Michael Kelm; Daniel Nicolas Splitthoff; Ullrich Köthe; Fred A. Hamprecht (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II, 2011)

Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning - B. Michael Kelm; Shaohua Kevin Zhou; Michael Sühling; Yefeng Zheng; Michael Wels; Dorin Comaniciu (Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers, 2010)

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)

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 (Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings, 2007)

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, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19. - 21. März 2006 in Hamburg, 2006)

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, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19. - 21. März 2006 in Hamburg, 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 (IEEE Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2006, New York, NY, USA, 17-22 June, 2006, 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 (Advances in Data Analysis, Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, 2006, 2006)

Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning - B. Michael Kelm; Chris Pal; Andrew McCallum (18th International Conference on Pattern Recognition (ICPR 2006), 20-24 August 2006, Hong Kong, China, 2006)