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Dr. Georgios Kaissis

Group Leader Reliable AI
+49 89 3187 49065Email meBuilding/Room: 35.33/205

Academic Career

Dr Georgios Kaissis, MHBA is an adjunct assistant professor at Technical University of Munich, where he holds the positions of senior research scientist at Institute of Artificial Intelligence in Medicine and of attending radiologist at the Institute of Radiology. He obtained his medical and doctoral degrees from LMU Munich, a Master’s Degree in Business Administration for Healthcare from FAU Nuremberg and his radiology specialisation from TU Munich. He completed a post-doc in Machine Learning with Prof Daniel Rueckert at Imperial College London. At TUM, he leads the research group “Trustworthy and privacy-preserving artificial intelligence”.

Publications

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Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipkovà, John Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Eugene Vorontsov, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Gruen, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Marianne M. Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze

The liver tumor segmentation benchmark (LITS)