Neural Information Processing

MRI, EM, Autoradiographie und Multi-Modale Daten

Here we combine techniques from machine learning, from image processing, and from signal processing to analyse biomedical data from various domains. Currently, applications include the 3D-reconstruction and visualization of brain structures, the segmentation and interpretation of the imaging data, and the correlation of anatomical with functional imaging data and with genetic data. Datasets and analysis problems also serve as a testbed for algorithms which we have developed in our machine learning projects (cf. "Research" page Learning on Structured Representations).

Acknowledgement: Research was funded by the DFG, the BMBF and the
Technische Universität Berlin.