Professor Computer Science and Engineering and Professor of 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.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 and 2022 and Area Chair in 2016, and 2017.
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 to see the full list of MICCAI Fellows since 2009 as well as information about how to nominate a candidate for a MICCAI Fellowship.
