Prof. Dr. Titus Kühne
Prof. Dr. Titus Kühne
Fellow
Fellow | BIFOLD
Director | Institute of Computer-assisted Cardiovascular Medicine, Charité – Universitätsmedizin Berlin
W3 Professorship for Cardiovascular Imaging | Charité – Universitätsmedizin Berlin / Deutsches Herzzentrum Berlin
Director of the imaging unit CHD | Charité – Universitätsmedizin Berlin / Deutsches Herzzentrum Berlin
| 2020 | 1st place poster award Leopoldina symposium |
| 2019 | VCBM 2019 Best Full Paper Honorable Mention |
| 2019 | Open Data Award BIH QUEST-Center |
| 2018 | ISMCS Scholarship Award 2018 |
| 2018 | DZHK Paper of the month |
| 2018 | NaWik Communication Award |
| 2018 | Berliner Startup Stipendium Profund Innovation |
| 2018 | 1st place ‘Research to Market Challenge’ |
| 2018 | 2nd place MedVis-Award/Karl-Heinz Höhne Award |
| 2015 | CARS 2015 meeting, Barcelona |
| 2013 | Best Exhibit award at the ICT13 meeting, Vilnius (MD-Paedigree consortium) |
- Imaging science & image guided therapy
- Data science (data driven models & complex data analytics)
- Simulations & modeling by physiology based models
- Development & application of experimental methods for the validation of numerical models
Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Huellebrand, Jan Brning, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kuehne, Yizhuan Jia, Xuesong Li, Suprosanna Shit, Bjoern Menze, Ziyu Su, Jun Ma, Ziwei Nie, Kartik Jain, Yanfei Liu, Yi Lin, Anja Hennemuth
Detection and Analysis of Cerebral Aneurysms based on X-ray Rotational Angiography – The CADA 2020 Challenge
Charité ICM researcher achieves first place in the MICCAI 2020 CADA-RRE challenge
Matthias Ivantsits of the Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine (ICM) at Charité – Universitätsmedizin Berlin was ranked first place in the CADA sub-challenge for rupture risk estimation (RRE) of cerebral aneurysms.
BIFOLD researchers at DHZB developed AI to predict kidney failure
BIFOLD Associated Investigator PD Dr. Meyer (DHZB) and Principal Investigator Prof. Dr. Kühne (DHZB, Charité) developed a recurrent neural network (RNN) which is able to predict severe kidney failure better than human professionals. The corresponding paper was published in “Nature Partner Journal (npj) Digital Medicine.”