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Bjoern Menze

I am a research scientist in the Computer Vision Laboratory at ETH Zurich, and a research affiliate of the Medical Vision group of CSAIL at MIT.

I am interested in developing methods in medical image computing at the interface of computational patho-physiology, medical computer vision, and machine learning. In this, I focus on applications in multimodal clinical neuroimaging and the patient-adaptive modeling of tumor growth.

I organized workshops at MICCAI, NIPS and CVPR in the fields of medical computer vision and neuroimage processing, served as guest editor for Medical Image Analysis, and am a member of the programm committee of MICCAI 2012.

 		Bjoern Menze

Recent news
The PNAS paper is featured in Nature.
Menze et Ur. PNAS, accepted.
"Medical Computer Vision Workshop" and "Multi-modal Brain Tumor Segmentation Challenge" accepted at MICCAI.
The ECML talk on oblique random forests is available now through videolectures.net.
The MICCAI-MCV proceedings are published by Springer (LNCS 6533).

Recent publications
Menze BH, Ur JA. Mapping patterns of long-term settlement in Northern Mesopotamia at a large scale. PNAS 2012
Kelm BM, et al., Menze BH. Using spatial prior knowledge in the spectral fitting of MRS images. NMR in Biomedicine 2012.
Menze BH, et al. A generative approach for image-based modeling of tumor growth. IPMI 2011.
Menze BH, et al. On oblique random forests. ECML 2011.
Menze BH, et al. A generative model for brain tumor segmentation in multi-modal images. MICCAI 2010.

(updated 2/2012)

Contact

Dr. Bjoern H. Menze

Computer Vision Laboratory
ETH Zurich
Sternwartstrasse 7
CH - 8092 Zurich
Switzerland

Office: ETF D114.1

bjoern@ethz.ch
tel. + 41 44 63 27685
www.ee.ethz.ch/~bmenze


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