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Prof. Dr. Titus Kühne


Charité – Universitätsmedizin Berlin

Augustenburger Platz 1, D-13353 Berlin

Prof. Dr. Titus Kühne


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

December 16, 2021

Data Management| Nov 26, 2020

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.

Data Management| Nov 02, 2020

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.”