At ISAS, Dr Jianxu Chen heads the AMBIOM - Analysis of Microscopic BIOMedical Images junior research group, funded by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF). His research revolves around biomedical image analyses and deep learning. Chen is an expert in the development of scalable biomedical image analysis algorithms based on artificial intelligence (AI), for example for the coordination and evaluation of three-dimensional microscopy images. After having completed his doctorate in computer science at the University of Notre Dame in Indiana, USA, Chen worked at the Allen Institute for Cell Science in Seattle. There, he led the microscopy image analysis work on research and development as well as preparing large-scale microscopy image analysis algorithms for production. To become a group leader at ISAS, Chen moved his family of four to the Ruhr area.
Dr. Jianxu Chen
Select publications
Journal of Imaging Informatics in Medicine, 2024
Krieger K, Egger J, Kleesiek J, Gunzer M, Chen J.
Multisensory Extended Reality Applications Offer Benefits for Volumetric Biomedical Image Analysis in Research and Medicine
https://doi.org/10.1007/s10278-024-01094-x
Arteriosclerosis, Thrombosis, and Vascular Biology, Vol. 44, No. 4, 2024, P. 915-929
Hagemann N, Qi Y, Mohamud Yusuf A, Li A, Squire A, Tertel T, Giebel B, Ludewig P, Spangenberg P, Chen J, Mosig A, Gunzer M, Hermann DM.
Microvascular Network Remodeling in the Ischemic Mouse Brain Defined by Light Sheet Microscopy
https://doi.org/10.1161/ATVBAHA.123.320339
GigaScience, 2024
Sonneck J, Zhou Y, Chen J.
MMV_Im2Im: an open-source microscopy machine vision toolbox for image-to-image transformation
https://doi.org/10.1093/gigascience/giad120
Nature Methods, Vol. 21, No. 3, 2024, P. 368-369
Zhou Y, Cao J, Sonneck J, Banerjee S, Dörr S, Grüneboom A, Lorenz K, Zhang S, Chen J.
EfficientBioAI: making bioimaging AI models efficient in energy and latency
https://doi.org/10.1038/s41592-024-02167-z