University of Heidelberg
BIOQUANT

07/31/2024 Open Position

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

More details can be...


03/01/2023 Publication in IEEE Transactions on Pattern Analysis and Machine Intelligence 2023

Our article "Superadditivity and Convex Optimization for Globally Optimal Cell Segmentation Using...


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...


Displaying results 1 to 5 out of 14

1

2

3

Next >

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. A main aim is to derive quantitative information about cellular structures, tissue, and organs based on multi-modal image data. 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: 18/03/2024)