Bjoern Menze

I am a post-doctoral researcher 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 at the interface of physiological and patho-physiological modeling, medical computer vision, and machine learning. In this, I focus on applications in multimodal clinical neuroimaging and the patient-adaptive modeling of tumor growth.

News:

- Menze et Ur. PNAS, accepted.

- The ECML talk on oblique random forests is available now through videolectures.net.

- We are editing a Special Section on Medical Computer Vision in MedIA.

- We are organizing the NIPS 2011 Workshop on Machine Learning and Inference in Neuroimaging. (MLINI 2011)

- The MICCAI MCV LNCS proceedings are out.

- We are organizing the MICCAI 2010 Workshop on Medical Computer Vision. (MICCAI MCV)

Recent publications:

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 PKDD 2011.

Kelm BM, et al., Menze BH. Using spatial prior knowledge in the spectral fitting of MRS images. NMR in Biomedicine 2011.

Menze BH, et al. A generative model for brain tumor segmentation in multi-modal images. MICCAI 2010.