Publications of Bjoern H. Menze

1. 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. 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. HAL ID: inria-00616194. [bibtex-entry]



2. 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. HAL ID: inria-00616193. [bibtex-entry]



3. 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, 2011. Note: Accepted. HAL ID: inria-00616198. [bibtex-entry]



4. 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. HAL ID: inria-00616195. [bibtex-entry]



5. 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]



6. 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]



7. 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. 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. HAL ID: inria-00616211. [bibtex-entry]



2. 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]



3. 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]



4. 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]



5. 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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