Enduring Impact Award

Awarded since 2009, the MICCAI Society’s prestigious Enduring Impact Award recognizes a senior researcher whose work has made a significant and lasting impact on the field. Selection criteria include:

• Originality in research,
• Successful clinical applications,
• Publications and dissemination of research,
• Contributions to conferences, societies and journals and
• Supervision and support of education

The MICCAI Society is pleased to recognize Guido Gerig with the 2023 Enduring Impact Award.

"Professor Gerig has been instrumental in advancing the knowledge and understanding of medical image computing.”, said Jim Duncan, Selection Committee member. "We are proud to be recognizing him with this prestigious award. Congratulations Guido!" 

Biography

Institute Professor Computer Science and Engineering and Professor Biomedical Engineering at NYU Tandon School of Engineering, Professor Guido Gerig’s research has leveraged quantitative assessments, 3D segmentation/modelling and longitudinal (4D) image analysis to focus on many current driving clinical problems such as those related to glaucoma, macular degeneration, Down’s Syndrome and Autism (among others). He recently stepped down as Department Head of the Computer Science and Engineering at NYU Tandon School of Engineering. 

His work has been published in over 375 peer-reviewed publications and received 41,879 citations. He has participated on the editorial and advisory boards of many journals including Medical Image Analysis, Neuroimage and IEEE Transactions on Medical Imaging. 

He has supervised 26 Ph.D. students, 16 MS students as well as 4 postdoctoral students and a number of MD students. In addition, 32 international students have completed internships in his lab. He is a member of over 45 Ph.D. committees in Switzerland, UK, Franks, Germany and the United States. 

Professor Gerig was the Co-organizer (Program Chair) of MICCAI 2005 and a regular member of the annual MICCAI conference program committee, in addition to program committees for IPMI, SPIE, CVPR and MMBIA. He has organized 10 different MICCCAI Workshops and is the President of the ACM Special Interest Group in Shape Modelling and Analysis (SIG Shape). 

He has also been recognized with many awards and distinctions including an elected IEEE Fellow (2019), Fellow of the American Institute of Medical and Biological Engineering (AIMBE), 2010 and elected Fellow of MICCAI in 2009.  

Visit the MICCAI Society website at http://www.miccai.org/about-miccai/awards/enduring-impact-award/ to see the full list of Enduring Impact Award recipients since 2009, as well as information on the nomination procedure.

MICCAI Society Fellowships

A MICCAI Fellowship is bestowed upon members in recognition of their exceptional contributions to medical image computing and/or computer-assisted interventions, in addition to their contributions to the MICCAI Society as a whole.

The MICCAI Society has elected Yoshinobu Sato, Stephanie Speidel and Danail Stoyanov as MICCAI Fellows, 2023.

“As coordinator for the MICCAI Fellowship program over the past 15 years, it has always been a great honour to recognize those of our community who have made outstanding contributions to MICCAI and its community.”, said Terry Peters, Fellows Elections Officer for 2023. “This year I have the privilege to congratulate Drs Yoshinobu Sato, Stephanie Speidel and Danail Stoyanov on being named MICCAI Fellows. You have been recognized by your peers for your contributions to our field and to the MICCAI Society. I am delighted to present you with this prestigious honour.”

Biographies

Yoshinobu Sato, Nara Institute of Science and Technology (NAIST), Japan

For his pioneering work on Computational Anatomy and Computer Assisted Interventions and exceptional contributions to the MICCAI Society.

Professor Sato’s profound mastery of the field and many of his pioneering work on Computational Anatomy and Computer Assisted Interventions have considerably impacted our field. He is one of the pioneers in orthopaedic surgery navigation and has published many papers on this topic. His blood vessel filter paper published on MedIA is very well known and has gained 1337 citations (Google Scholar). He is also a specialist in computational anatomy and has led computational anatomy projects with other colleagues in Japan. He has recently co-authored a survey paper on computational anatomy for multi-organ analysis, which will be another impactful contribution highlighting the progress of this field through the last decade. He has received many awards from various academic societies, including the Second-Best Paper Award in the Medical Image Analysis, Special Issue of MICCAI 2006. 

Professor Sato has contributed to MICCAI and the MICCAI community since the early 90’s. He has continued to actively present his research work since pre-MICCAI conference series (eg. CVRMed). He was essential in the organization of MICCAI events in 2002 and 2013 and contributed in many roles from program committee, tutorial chair and program chair.  His contribution as Program Chair brought enormous success to MICCAI 2013 in Nagoya, Japan. 

Stefanie Speidel, National Center for Tumour Diseases, Dresden, Germany

For outstanding contributions to Surgical Data Science and to the MICCAI Community. 

Dr. Stefanie Speidel has made pioneering contributions to the emerging field of Surgical Data Science. She was one of the first researchers worldwide to develop innovative approaches in machine learning-based surgical vision in 2005, almost a decade prior to the rest of the field. Dr. Speidel is the co-founder and Co-chair of the Endoscopic Vision challenge (EndoVis), the first CAI challenge at MICCAI, which takes place regularly at the annual conference. Dr. Speidel is also the co-chair of the Surgical Data Science Initiative, a broad international collaboration aiming to improve the quality of interventional healthcare and its value through harmonizing the methods and practices of capturing, organization, analysis, and modelling of surgical data. 

Dr. Speidel has contributed to MICCAI for over 12 years as author, reviewer, area chair and program chair. Her work has been recognized by several best paper awards from the MICCAI OR2.9 workshop. She was an Area Chair in 2017, 2018 and 2020, and a MICCAI program chair in 2021 and 2022, as well as a member of the MICCAI board since 2022. Dr. Speidel has also made fundamental contributions to the Information Processing in Computer-Assisted Interventions (IPCAI) conference series, as General Chair in 2020, 2021,2002 and Area Chair in 2016, and2017. 

Danail Stoyanov, University College London, UK

For contributions to computer assisted interventions, medical robotics and computer vision techniques for surgical scene understanding and to the MICCAI Community. 

Dr. Danail (Dan) Stoyanov as made a significant contribution to the field of computer-assisted interventions and the development of computer vision techniques for surgical scene understanding. He is a pioneer in inferring the 3D geometry of the surgical site and its deformable motion from stereo laparoscopes.

Dr. Stoyanov has made profound translational impact, having co-founded Odin Vision Ltd which currently provides the only cloud-based AI product available for endoscopists and is used in 30 hospitals to assist in thousands of patient procedures. 

Dr. Stoyanov maintained an active presence in MICCAI (as well as the related professional associations, including IEEE and IPCAI) throughout his entire academic career, starting as a doctoral student. He participated in and contributed to all aspects of the MICCAI Society. He had numerous papers, for or which he received best paper awards both as first author and senior author; has been a recurring member of the Program Committee; organized several workshops; and served as scientific program co-chair (2020). Dr. Stoyanov has promoted the broader field of MICCAI through IEEE as Associate Editor of the Robotics and Automation Letters and the Transactions on Biomedical Engineering, and as one of the founders of IPCAI. 

Visit the MICCAI Society website at https://miccai.org/index.php/about-miccai/miccai-fellows/ to see the full list of MICCAI Fellows since 2009 as well as information about how to nominate a candidate for a MICCAI Fellowship.