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Björn H. Menze
Bjoern H. Menze – Bjoern Holger Menze
2010 – today
- 2013
[c16]Allan Hanbury, Henning Müller, Georg Langs, Bjoern H. Menze: Cloud-Based Evaluation Framework for Big Data. Future Internet Assembly 2013: 104-114- [e2]Bjoern H. Menze, Georg Langs, Le Lu, Albert Montillo, Zhuowen Tu, Antonio Criminisi (Eds.): Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7766, Springer 2013, ISBN 978-3-642-36619-2
- 2012
- [c15]Allan Hanbury, Henning Müller, Georg Langs, Marc-André Weber, Bjoern H. Menze, Tomas Salas Fernandez: Bringing the Algorithms to the Data: Cloud-Based Benchmarking for Medical Image Analysis. CLEF 2012: 24-29
- [c14]Erin Stretton, Emmanuel Mandonnet, Ezequiel Geremia, Bjoern H. Menze, Hervé Delingette, Nicholas Ayache: Predicting the Location of Glioma Recurrence after a Resection Surgery. STIA 2012: 113-123
- [c13]René Donner, Bjoern H. Menze, Horst Bischof, Georg Langs: Fast Anatomical Structure Localization Using Top-Down Image Patch Regression. MCV 2012: 133-141
- [c12]Matthias Schneider, Sven Hirsch, Gábor Székely, Bruno Weber, Bjoern H. Menze: Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace Filtering. MCV 2012: 142-154
- [c11]Ezequiel Geremia, Bjoern H. Menze, Marcel Prastawa, Marc-André Weber, Antonio Criminisi, Nicholas Ayache: Brain Tumor Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model. MCV 2012: 273-282
- 2011
- [j6]Georg Langs, Bjoern H. Menze, Danial Lashkari, Polina Golland: Detecting stable distributed patterns of brain activation using Gini contrast. NeuroImage 56(2): 497-507 (2011)
- [j5]Ezequiel Geremia, Olivier Clatz, Bjoern H. Menze, Ender Konukoglu, Antonio Criminisi, Nicholas Ayache: Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images. NeuroImage 57(2): 378-390 (2011)
- [c10]Bjoern H. Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc-André Weber, Nicholas Ayache, Polina Golland: A Generative Approach for Image-Based Modeling of Tumor Growth. IPMI 2011: 735-747
- [c9]Bjoern H. Menze, B. Michael Kelm, Daniel Nicolas Splitthoff, Ullrich Köthe, Fred A. Hamprecht: On Oblique Random Forests. ECML/PKDD (2) 2011: 453-469
- [e1]Björn H. Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi (Eds.): Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers. Lecture Notes in Computer Science 6533, Springer 2011, ISBN 978-3-642-18420-8
- 2010
- [j4]Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H. Menze, William M. Wells III, Polina Golland: Segmentation of image ensembles via latent atlases. Medical Image Analysis 14(5): 654-665 (2010)
- [j3]Ender Konukoglu, Olivier Clatz, Bjoern H. Menze, Bram Stieltjes, Marc-André Weber, Emmanuel Mandonnet, Herve Delingette, Nicholas Ayache: Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations. IEEE Trans. Med. Imaging 29(1): 77-95 (2010)
- [c8]Frederik O. Kaster, Bjoern H. Menze, Marc-André Weber, Fred A. Hamprecht: Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations. MCV 2010: 74-85
- [c7]Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, Ender Konukoglu, Antonio Criminisi, Nicholas Ayache: Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images. MICCAI (1) 2010: 111-118
- [c6]Bjoern H. Menze, Koenraad Van Leemput, Danial Lashkari, Marc-André Weber, Nicholas Ayache, Polina Golland: A Generative Model for Brain Tumor Segmentation in Multi-Modal Images. MICCAI (2) 2010: 151-159
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 Bioinformatics 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. Med. Imaging 28(10): 1534-1547 (2009)
- 2007
- [b1]Bjoern Holger Menze: Mustererkennung in der quantitativen Auswertung vektor-wertiger Bilddaten: diagnostische Systeme und Anwendungen. Heidelberg University 2007
- [c5]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
- [c4]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
- [c3]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: 51-55
- [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
- 2004
- [c1]Björn H. Menze, Michael Wormit, Peter Bachert, Matthias Lichy, Heinz-Peter Schlemmer, Fred A. Hamprecht: Classification of In Vivo Magnetic Resonance Spectra. GfKl 2004: 362-369
Coauthor Index
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last updated on 2013-05-30 21:37 CEST by the dblp team