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Name:2018 Workshop on Simulation and Synthesis in Medical Imaging - SASHIMI2018
Description:The MICCAI community has always been close to the idea of creating simulated or synthetic data to understand, develop, assess, and validate image analysis and reconstruction algorithms. From very basic digital phantoms all the way up to very realistic in silico models of medical imaging and physiology, our community has progressed enormously in terms of the available techniques and their applications. For instance, mechanistic models (imaging simulations) emulating the geometrical and physical aspects of the acquisition process have been used now for a long time. Advances on computational anatomy and physiology have further enhanced the potential of such simulation platforms by incorporating structural and functional realism to the simulations that can now account for complex spatio-temporal dynamics due to changes in anatomy, physiology, disease progression, patient and organ motion, etc. just to name a few. More recently, developments in machine learning together with the growing availability of ever-larger scale databases have provided the theoretical underpinning and the practical data access to develop phenomelogical models (image synthesis) that learn models directly from data associations across subjects, time, modalities, resolutions, etc. These techniques may provide ways to address challenging tasks in medical image analysis like cross-cohort normalization, image imputation in the presence of missing or corrupted data, transfer of knowledge across imaging modalities, views or domains. To this date, however, these two main research avenues (simulation and synthesis) remain pretty much independent efforts in spite of sharing common challenges. This satellite workshop, building on the successful 2016-17 edition, continues to provide a state-of-the-art and integrative perspective on simulation and synthesis in medical imaging for the purpose of invigorating research and stimulating new ideas on how to build theoretical links, practical synergies, and best practices between these two research directions. More information can be found on the workshop's home page at: http://www.sashimi.aramislab.fr
PC Chairs:Orcun Goksel
Ipek Oguz
Ninon Burgos
Ali Gooya
Conference flow: Abstract Submission: June 22, 2018 23:59 PDT,
Paper Upload: June 22, 2018 23:59 PDT,
Assignment of Reviewers: June 25, 2018 23:59 PDT,
Review: July 15, 2018 23:59 PDT,
Decision: July 20, 2018 23:59 PDT,
Final: July 31, 2018 23:59 PDT

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