Head of Division Medical Physics,
Professor in Biomedical Imaging at Technische Universität Berlin
Physikalisch-Technische Bundesanstalt (PTB),Technische Universität, Berlin, Einstein Center Digital Future
, Germany
Tobias Schäffter studied electrical engineering and computer science at TU-Berlin until 1993 and obtained his PhD degree in magnetic resonance (MR) spectroscopic imaging at University Bremen (Prof. Leibfritz) in 1996. From 1996-2006, he worked as a Principal Scientist at the Philips Research Laboratories in Hamburg (Germany). He was responsible for the development of new MR-acquisition and reconstruction techniques as well as investigation of MR-compatible devices.
In April 2006, Professor Schäffter took up the post as the Philip Harris Professor of Imaging Sciences at King’s College London. A major aim of his research is the investigation of MRI for cardiovascular and interventional applications with a strong focus on clinical tanslation. He was department head of biomedical engineering and the deputy head of the division in imaging sciences. He taught in the BSc and MSc programmes of Biomedical Engineering. As the director of the EPSRC doctorial training centre in medical imaging he was responsible for the PhD training programme between King’s and Imperial College London
Since 2015 he heads the Division 8 of Medical Physics at Physikalisch-Technische Bundesanstalt (PTB) in Berlin, where he is responsible for the development of new quantitative measurement and reference techniques in medicine. His own research is focused on new quantitative MRI technqiues and MR-safety of devices. He is the co-Spokesman of the doctoral training centre in quantitative Imaging of biophysical parameter BioQic at Charité Berlin. Since 2019 he is also a Professor in Biomedical Imaging at Technical University Berlin and the Einstein Centre Digital Future. Tobias Schäffter is member of the Berlin-Brandenburg Academy of Sciences.
Rapid Fire 01- Machine Learning and Artificial Intelligence I (Kiosk 5)
Thursday, January 30, 2025
11:00 AM – 12:00 PM East Coast USA Time
CMR Innovations: Open-Source CMR Software 1
Thursday, January 30, 2025
1:30 PM – 2:30 PM East Coast USA Time
Discuss and Meet-the-Developers: CMR Innovations: Open-Source CMR Software 1
Thursday, January 30, 2025
2:15 PM – 2:30 PM East Coast USA Time
Technologist Track Session 2: CMR Hardware Equipment/Devices/Sustainability
Thursday, January 30, 2025
4:20 PM – 5:20 PM East Coast USA Time
Rapid Fire 04- Machine Learning and Artificial Intelligence II (Kiosk 4)
Thursday, January 30, 2025
5:30 PM – 6:30 PM East Coast USA Time
CMR Innovations: Open-Source CMR Software 2
Saturday, February 1, 2025
10:50 AM – 11:50 AM East Coast USA Time
Discuss and Meet-the-Developers: CMR Innovations: Open-Source CMR Software 2
Saturday, February 1, 2025
11:35 AM – 11:50 AM East Coast USA Time