Publications of Bjoern H. Menze

1. Bjoern H. Menze, Georg Langs, Le Lu, Albert Montillo, Zhuowen Tu, and Antonio Criminisi. Medical Computer Vision: Recognition techniques and applications in medical imaging. Proceedings of the MICCAI 2012 Workshop on Medical Computer Vision (MCV 2012), volume 7766 of Lecture Notes in Computer Science. Springer, February 2013. [bibtex-entry]



2. Bjoern Menze, Mauricio Reyes, Andras Jakab, Elisabeth Gerstner, Justin Kirby, and Keyvan Farahani, editors. Proceedings of the MICCAI Challenge on Multimodal Brain Tumor Image Segmentation (BRATS) 2013, Nagoya, Japan, September 2013. MICCAI. [bibtex-entry]



3. Bjoern H. Menze, Georg Langs, Zhuowen Tu, and Antonio Criminisi, editors. Medical Computer Vision: Recognition techniques and applications in medical imaging -- MICCAI-MCV 2010, volume 6533 of LNCS, Beijing, China, December 2010. Springer. [bibtex-entry]

1. Bjoern H Menze, Koen van Leemput, Danial Lashkari, Tammy Riklin-Raviv, Ezequiel Geremia, Esther Alberts, Philipp Gruber, Susanne Wegener, Marc-André Weber, Gabor Szekely, Nicholas Ayache, and Polina Golland. A generative probabilistic model and discriminative extensions for brain lesion segmentation -- with application to tumor and stroke. IEEE Transactions on Medical Imaging, November 2015. [bibtex-entry]



2. Bjoern Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elisabeth Gerstner, Marc-Andre Weber, Tal Arbel, Brian Avants, Nicholas Ayache, Patricia Buendia, Louis Collins, Nicolas Cordier, Jason Corso, Antonio Criminisi, Tilak Das, Hervé Delingette, Cagatay Demiralp, Christopher Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan Iftekharuddin, Raj Jena, Nigel John, Ender Konukoglu, Danial Lashkari, Jose Antonio Mariz, Raphael Meier, Sergio Pereira, Doina Precup, S. J. Price, Tammy Riklin-Raviv, Syed Reza, Michael Ryan, Lawrence Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos Silva, Nuno Sousa, Nagesh Subbanna, Gabor Szekely, Thomas Taylor, Owen Thomas, Nicholas Tustison, Gozde Unal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, and Koen van Leemput. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Transactions on Medical Imaging, 34(10):1993-2024, October 2014. [bibtex-entry]



3. Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, and Bjoern Menze. Spatio-Temporal Video Segmentation with Shape Growth or Shrinkage Constraint. IEEE Transactions on Image Processing, 23(9):3829-3840, September 2014. [bibtex-entry]



4. Bjoern Menze, Georg Langs, Zhuowen Tu, and Antonio Criminisi. Whole-body anatomy localization via classification and regression forests. Medical Image Analysis, 17(8):1282, December 2013. [bibtex-entry]



5. Jan Unkelbach, Bjoern Menze, Ender Konukoglu, Florian Dittmann, Nicholas Ayache, and Helen Shi. Radiotherapy planning for glioblastoma based on a tumor growth model: implications for spatial dose redistribution. Physics in Medicine and Biology, December 2013. [bibtex-entry]



6. Jan Unkelbach, Bjoern Menze, Ender Konukoglu, Florian Dittmann, Matthieu Le, Nicholas Ayache, and Helen Shi. Radiotherapy planning for glioblastoma based on a tumor growth model: improving target volume delineation. Physics in Medicine and Biology, December 2013. [bibtex-entry]



7. Ezequiel Geremia, Darko Zikic, Olivier Clatz, Bjoern H. Menze, Ben Glocker, Ender Konukoglu, Jamie Shotton, O. M. Thomas, S. J. Price, Tilak Das, Raj Jena, Nicholas Ayache, and Antonio Criminisi. Classification Forests for Semantic Segmentation of Brain Lesions in Multi-channel MRI. In Criminisi, Antonio, Shotton, and J., editors, Decision Forests for Computer Vision and Medical Image Analysis, Advances in Computer Vision and Pattern Recognition, pages 245-260. Springer London, 2013. [bibtex-entry]



8. B. Michael Kelm, Frederik O. Kaster, A. Henning, Marc-André Weber, P. Bachert, P. Boesiger, Fred A. Hamprecht, and Bjoern H. Menze. Using spatial prior knowledge in the spectral fitting of MRS images. NMR in Biomedicine, 25(1):1-13, 2012. HAL ID: inria-00616193. [bibtex-entry]



9. Ezequiel Geremia, Olivier Clatz, Bjoern H. Menze, Ender Konukoglu, Antonio Criminisi, and Nicholas Ayache. Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel Magnetic Resonance Images. NeuroImage, 57(2):378-90, July 2011. [bibtex-entry]



10. BM Kelm, FO Kaster, A Henning, MA Weber, P Bachert, P Boesiger, FA Hamprecht, and BH Menze. Using spatial prior knowledge in the spectral fitting of MRS images. NMR in Biomedicine, [Epub ahead of print], 2011. [bibtex-entry]



11. E. Konukoglu, J. Relan, U. Cilingir, B. Menze, P. Chinchapatnam, A. Jadidi, H. Cochet, M. Hocini, H. Delingette, P. Jaïs, M. Haïssaguerre, N. Ayache, and M. Sermesant. Efficient Probabilistic Model Personalization Integrating Uncertainty on Data and Parameters: Application to Eikonal-Diffusion Models in Cardiac Electrophysiology. Progress in Biophysics and Molecular Biology, 107(1):134-146, October 2011. [bibtex-entry]



12. Georg Langs, Bjoern H. Menze, Danial Lashkari, and Polina Golland. Detecting stable distributed patterns of brain activation using Gini contrast. NeuroImage, 56:497-507, 2011. [bibtex-entry]



13. B H Menze, E Stretton, E Konukoglu, and N. Ayache. Image-based modeling of tumor growth in patients with glioma.. In C S Garbe, R Rannacher, U Platt, and T Wagner, editors, Optimal control in image processing. Springer, Heidelberg/Germany, 2011. [bibtex-entry]



14. Ender Konukoglu, Olivier Clatz, Bjoern H. Menze, Marc-André Weber, Bram Stieltjes, Emmanuel Mandonnet, Hervé Delingette, and Nicholas Ayache. Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations. IEEE Transactions on Medical Imaging, 29(1):77-95, 2010. [bibtex-entry]



15. Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H. Menze, William M. Wells, and Polina Golland. Segmentation of image ensembles via latent atlases. Medical Image Analysis, 14(5):654-65, 2010. [bibtex-entry]

1. Nicolas Cordier, Bjoern Menze, Hervé Delingette, and Nicholas Ayache. Patch-based Segmentation of Brain Tissues. In Bjoern Menze, Mauricio Reyes, Andras Jakab, Elisabeth Gerstner, Justin Kirby, and Keyvan Farahani, editors, MICCAI Challenge on Multimodal Brain Tumor Segmentation, Proceedings of the MICCAI Challenge on Multimodal Brain Tumor Image Segmentation (BRATS) 2013, Nagoya, Japan, pages 6 - 17, September 2013. IEEE. [bibtex-entry]



2. Florian Dittmann, Bjoern Menze, Ender Konukoglu, and Jan Unkelbach. Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation. In Multimodal Brain Image Analysis, volume 8159 of Lecture Notes in Computer Scienc, Nagoya, Japan, pages 63-73, September 2013. [bibtex-entry]



3. Ezequiel Geremia, Bjoern H. Menze, and Nicholas Ayache. Spatially Adaptive Random Forest. In 2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, San Francisco, CA, United States, pages 1332-35, 2013. IEEE. [bibtex-entry]



4. Marco Lorenzi, Bjoern H. Menze, Marc Niethammer, Nicholas Ayache, and Xavier Pennec. Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields. In Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, and Nassir Navab, editors, Medical Image Computing and Computer Aided Intervention (MICCAI), volume 8150 of Lecture Notes in Computer Science - LNCS, Nagoya, Japan, pages 328-335, September 2013. Springer. Keyword(s): Scale-space decomposition, non-rigid registration, longitudinal analysis, stationary velocity fields. [bibtex-entry]



5. Erin Stretton, Ezequiel Geremia, Bjoern H. Menze, Hervé Delingette, and Nicholas Ayache. Importance of patient DTI's to accurately model glioma growth using the reaction diffusion equation. In 2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, San Francisco, CA, United States, pages 1130-32, 2013. IEEE. [bibtex-entry]



6. Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, and Bjoern H. Menze. Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation. In BMVC - British Machine Vision Conference, Bristol, United Kingdom, September 2013. [bibtex-entry]



7. Ezequiel Geremia, Bjoern H. Menze, and Nicholas Ayache. Spatial Decision Forests for Glioma Segmentation in Multi-Channel MR Images. In MICCAI Challenge on Multimodal Brain Tumor Segmentation, LNCS, October 2012. Springer. [bibtex-entry]



8. Ezequiel Geremia, Bjoern H. Menze, Marcel Prastawa, Marc-André Weber, Antonio Criminisi, and Nicholas Ayache. Brain tumor cell density estimation from multi-modal MR images based on a synthetic tumor growth model. In MICCAI Workshop on Medical Computer Vision, LNCS, October 2012. Springer. [bibtex-entry]



9. Erin Stretton, Emmanuel Mandonnet, Ezequiel Geremia, Bjoern H. Menze, Hervé Delingette, and Nicholas Ayache. Predicting the Location of Glioma Recurrence After a Resection Surgery. In Proceedings of 2nd International MICCAI Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data (STIA'12), LNCS, Nice, October 2012. Springer. [bibtex-entry]



10. J. Unkelbach, Bjoern H. Menze, A. Motamedi, F. Dittmann, Ender Konukoglu, Nicholas Ayache, and H. Shih. Glioblastoma growth modeling for radiotherapy target delineation.. In Proc MICCAI Workshop on Image-Guidance and Multimodal Dose Planning in Radiation Therap., pages 12 pages, 2012. [bibtex-entry]



11. Bjoern H. Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc-Andre Weber, Nicholas Ayache, and Polina Golland. A Generative Approach for Image-Based Modeling of Tumor Growth. In G. Szekely and H. Hahn, editors, Proceedings of Information Processing in Medical Imaging (IPMI'11), LNCS 6801, pages 13p, 2011. [bibtex-entry]



12. Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, Ender Konukoglu, Antonio Criminisi, and Nicholas Ayache. Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images. In Medical Image Computing and Computer-Assisted Intervention (MICCAI'10), LNCS, Beijing, China, September 2010. Springer. [bibtex-entry]



13. Frederik O. Kaster, Bjoern H. Menze, Marc-André Weber, and Fred A. Hamprecht. A survey on learning tumor classifier from noisy annotations by probabilistic graphical models. In MICCAI Workshop on Medical Computer Vision (MICCAI-MCV'10), Beijing, China, September 2010. [bibtex-entry]



14. Bjoern H. Menze, Koen Van Leemput, Danial Lashkari, Marc-André Weber, Nicholas Ayache, and Polina Golland. A generative model for brain tumor segmentation in multi-modal images. In Medical Image Computing and Computer-Assisted Intervention (MICCAI'10), LNCS, Beijing, China, September 2010. Springer. [bibtex-entry]



15. Tammy Riklin-Raviv, Bjoern H. Menze, Koen Van Leemput, Bram Stieltjes, Marc-André Weber, Nicholas Ayache, William M. Wells, and Polina Golland. Joint segmentation via patient-specific latent anatomy model. In MICCAI Workshop on Probabilistic Methods in Medical Image Analysis (PMMIA'09)), London, UK, September 2009. [bibtex-entry]

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