Helmholtz Munich

Doctor examines of magnetic resonance imaging .

Group Leader Reliable AI

+49 89 3187 49065 Email meBuilding/Room: 35.33/205

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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”.

The Vision

Reliable AI

With his team Reliable AI, Georgios Kaissis develops next-generation trustworthy artificial intelligence algorithms for medical applications. To do this, they use advanced deep learning techniques and work at the interface between trustworthy and probabilistic machine learning.

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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)

Patrick Ferdinand Christ, Florian Ettlinger, Felix Grün, Mohamed Ezzeldin A Elshaera, Jana Lipkova, Sebastian Schlecht, Freba Ahmaddy, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Felix Hofmann, Melvin D Anastasi, Seyed-Ahmad Ahmadi, Georgios Kaissis, Julian Holch, Wieland Sommer, Rickmer Braren, Volker Heinemann, Bjoern Menze

Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks

Georgios A Kaissis, Marcus R Makowski, Daniel Rückert, Rickmer F Braren

Secure, privacy-preserving and federated machine learning in medical imaging

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Dr. Georgios Kaissis

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Academic Career

The Vision

Reliable AI

Publications

Networks and Affiliations

Imperial College London

Institute of Radiology, TUM

Department of Mathematics, LMU

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