University of Heidelberg
BIOQUANT

04/01/2021 Open Position

The BMCV group currently offers a PhD position in biomedical image analysis.

More details can be...


01/27/2018 Cell Tracking Challenge, Nature Methods 2017

The cell tracking method of the BMCV group yielded top-ranking results in an international...


07/13/2015 ISBI 2016

Karl Rohr is program chair of the IEEE International Symposium on Biomedical Imaging (ISBI) which...


11/10/2014 Project QuantVessel at Deutsche Bundestag (German Parliament)

The research project QuantVessel of the BMCV group is presented at an exhibition of the German...


11/10/2014 Excellent result at Particle Tracking Challenge, Nature Methods 2014

The Biomedical Computer Vision (BMCV) group successfully participated in an international...


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Biomedical Computer Vision Group

The research group Biomedical Computer Vision (BMCV) develops methods and algorithms for computer-based analysis of biological and medical images, in particular, cell microscopy images and medical tomographic images. A main aim is to derive quantitative information about cellular structures, tissue, and organs based on multi-modal image data. Main research topics are cell segmentation and tracking, particle detection and tracking, non-rigid image registration, vessel segmentation, and landmark localization using deep learning methods, model-based methods, and probabilistic methods.

 

The BMCV group belongs to Heidelberg University, BioQuant Center, IPMB, and the German Cancer Research Center (DKFZ).

 

Contact: E-Mail (Last update: 02/04/2021)