27th INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING
AND COMPUTER ASSISTED INTERVENTION
6-10 October 2024 • MARRAKESH / MOROCCO

Recognizing Outstanding Innovation and Dedication

As the MICCAI community gathered to celebrate at last night's Gala Dinner, we proudly announced the 2024 MICCAI Fellows and the 2024 Enduring Impact Award. This recognition us reminds of the collective effort required to push the boundaries of knowledge and innovation.

2024 Enduring Impact Award

Established in 2009, the Enduring Impact Award is given to an individual who has made a significant and enduring impact on the field through originality, successful clinical applications, publications and dissemination and been involved in conferences, societies and education. We are pleased to present Daniel Rueckert, TU Munich, with the 2024 Enduring Impact Award.

Daniel Reukert

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).

He currently supervises 28 PhD students and has previously supervised more than 55 PhD students. He teaches Machine Learning for Imaging, Operating Systems, Computer Graphics and Medical Image Computing and has received the Outstanding Teacher Award for three consecutive years from ISMRM.

He was the Program Co-Chair of MICCAI 2009, ISBI 2012 and WBIR 2012 and General Co-Chair of MMBIA 2006 and FIMH 2013 and has been a regular reviewer for numerous conferences.

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).

Congratulations to Daniel Reukert!

2024 MICCAI Fellows

Recognition as a MICCAI Fellow is given to individuals who have not only demonstrated exceptional scientific achievements but have also significantly contributed to the advancement of our field. This year, we celebrate three remarkable individuals whose work embodies the spirit of innovation and dedication.

James Gee, Perelman School of Medicine, University of Pennsylvania

James Gee

James Gee has made significant strides in the field of medical imaging science through his pioneering development and open-source distribution of computational methods. His work has democratized access to essential tools and resources, enabling researchers worldwide to build upon his innovations.

Dr. Gee's generosity in sharing these methods has accelerated research progress, fostered collaboration and enhanced the overall quality of work within the field. His contributions are a testament to the importance of accessibility in advancing scientific discovery.

Hayit Greenspan, Tel-Aviv University and Icahn School of Medicine, Mount Sinai, NYC

Hayit Greenspan

Hayit Greenspan is a trailblazer in the development of machine learning methods for medical image computing. Her research has played a pivotal role in pushing the boundaries of what is possible in this critical area, enhancing the capabilities of medical imaging technologies.

Dr. Greenspan's contributions extend beyond her research; she is also recognized for her unwavering support of the MICCAI Society. Her commitment to fostering collaboration and knowledge-sharing within the community exemplifies her dedication to advancing medical science through technology

Nicolas Padoy, University of Strasbourg

Nicholas Padoy

Nicolas Padoy is recognized for his significant contributions to modeling, automatic analysis, and recognition of activities in surgery and interventional radiology. His research focuses on improving the safety and efficacy of surgical procedures—an area that holds immense potential for enhancing patient outcomes.

Dr. Padoy's commitment to developing and disseminating surgical information has not only advanced our understanding of surgical practices but has also improved training methodologies. His work is instrumental in ensuring that healthcare professionals are equipped with the knowledge they need to provide high-quality care.

Congratulations James Gee, Hayit Greenspan and Nicolas Padoy!