MICCAI Enduring Impact Award for Daniel Rückert
Research, Awards |
Established in 2009, the Enduring Impact Award is presented annually to an individual who has made a lasting impact on their field based on various criteria. These criteria include originality, successful clinical applications, publications and dissemination of research findings. Engagement at conferences, in societies and for specialist journals, as well as the mentoring and training of young researchers, also count.
Pioneer in the fields of algorithms and AI in medical imaging
According to the conference website, the MICCAI Society justifies the award to Daniel Rückert as follows: Dr. Rueckert has pioneered new areas in nonrigid registration, deep-learning for MR reconstruction and real time image/video super-reconstruction strategies.
He has been published in over 600 peer-reviewed publications with more than 105,000 citations. He is an active editorial and advisory board member of many journals, including IEEE Transactions on Medical Imaging (Associate Editor) and Medical Image Analysis (Senior Editor).
His research team includes 30 postdocs and doctoral students, and has already supervised more than 60 successful PhD students. At TUM, he teaches AI in Medicine, and he has received the Outstanding Teacher Award for three consecutive years from ISMRM.
He is an IEEE Fellow (2015), a MICCAI Fellow (2014), a Fellow in the Royal Academy of Engineering (2015), the Academy of Medical Sciences (2019) and a member of the German Academy of Sciences, Leopoldina (2023).
Daniel Rückert has been Alexander von Humboldt Professor at the Technical University of Munich since 2020. He holds the chair for Artificial Intelligence in Healthcare and Medicine and is part of the TUM School of Computation, Information and Technology and the TUM School of Medicine and Health.