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    'distribution:BiomSpeaker.html' (29 chars)
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    'fileadmin/Webdata/digimed/Symposium_2024/Fotos/Daniel_Rueckert_beab.jpg' (71 chars)
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    'Prof. Dr. Daniel Rückert' (24 chars)
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    'Alexander von Humboldt Professor for AI in Medicine and Healthcare, TUM Univ
     ersity Hospital
    ' (91 chars)
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    'Daniel Rueckert is an Alexander von Humboldt Professor for AI in Medicine an
     d Healthcare at the Klinikum rechts der Isar, Technical University of Munich
     , where he is also Director of the Institute for AI and Informatics in Medic
     ine. He is also a Professor of Visual Information Processing in the Departme
     nt of Computing at Imperial College London. As part of his research activiti
     es, he has published over 500 journal and conference articles with over 95,0
     00 citations (h-index 133), graduated over 50 PhD students and supervised an
     d mentored over 40 post-docs. Currently, he is a senior member of the editor
     ial board of Medical Image Analysis, and has served as an associate editor o
     f IEEE Transactions on Medical Imaging, IEEE Transactions on Pattern and Mac
     hine Intelligence and Image and Vision Computing and as a referee for severa
     l international journals and conferences in the area of Artificial Intellige
     nce, Computer Vision and Medical Imaging. He has been elected as Fellow of t
     he MICCAI Society (2014), Fellow of the Royal Academy of Engineering (2015),
      Fellow of the IEEE (2015), Fellow of the Academy of Medical Sciences (2019)
     , Fellow of the European Laboratory for Learning and Intelligent Systems ELL
     IS (2021) and Fellow of the American Institute for Medical and Biological En
     gineering (2021). More recently, he was elected as a member of the German Na
     tional Academy of Sciences Leopoldina (2023). <br /><a target="_blank" href=
     "https://www.professoren.tum.de/en/rueckert-daniel">www.professoren.tum.de/e
     n/rueckert-daniel </a><br /><a target="_blank" href="https://aim-lab.io/">ht
     tps://aim-lab.io/</a>
    ' (1617 chars)