SASHIMI 2021: Simulation and Synthesis in Medical Imaging


SASHIMI: Simulation and Synthesis in Medical Imaging

A MICCAI 2019 Workshop
October 13, 2019, Shenzhen, China


In conjunction with MICCAI 2019 (

Call for papers

Important Dates:

Submission due:    July 12
Notification of acceptance:    August 12

Camera ready:    August 16
Workshop event:    October 13

Scope of the Workshop:

The MICCAI community needs data with known ground truth to develop, evaluate, and validate computerised image analytic tools, as well as to facilitate clinical training. Since synthetic data are ideally suited for this purpose, over the years, a full range of models underpinning image simulation and synthesis have been developed: (a) machine and deep learning methods based on generative models, (b) simplified mathematical models to test segmentation, tracking, restoration, and registration algorithms; (c) detailed mechanistic models (top–down), which incorporate priors on the geometry and physics of image acquisition and formation processes; and (d) complex spatio-temporal computational models of anatomical variability, organ physiology, morphological changes in tissues or disease progression.
The goal of the Simulation and Synthesis in Medical Imaging (SASHIMI) workshop is to bring together all those interested in such problems for invigorating research, discussing current approaches, and stimulating new ideas and scientific directions in this field. The objectives are to: (a) hear from invited speakers in the areas of transfer learning, generative adversarial networks, variational auto encoders, and biophysical models, and cross-fertilize across these fields; (b) bring together experts of image synthesis to raise the state of the art; and (c) identify challenges and opportunities for further research. We also would like to identify the suitable approaches to evaluate the plausibility of synthetic data and to collect benchmark data that can help with the development of future algorithms.


Specific topics of interest include, but are not limited to, the following:

  • Fundamental methods for image-based biophysical modelling and image synthesis
  • Biophysical and data-driven models of disease progression, organ development, motion and deformation, image formation and acquisition
  • Virtual cell imaging
  • Segmentation/registration across or within modalities to aid model parameter learning
  • Imaging protocol harmonization approaches across imaging systems, sites and time points
  • Cross-modality image synthesis
  • Image synthesis for normalization and spatio-temporal intensity correction
  • Simulation and synthesis from large-scale databases
  • Machine and deep learning techniques in image simulation and synthesis
  • Handling uncertainty and incomplete data via simulation and synthesis techniques
  • Automated techniques for quality assessment of simulations and synthetic images
  • Evaluation and benchmarking of state-of-the-art approaches in simulation and synthesis
  • Novel ideas on evaluation metrics and methods in image-based simulation and image synthesis
  • Normative and annotated datasets for benchmarking and learning models
  • Applications of image synthesis/simulation in super resolution imaging and multi/cross-scale regression, registration, segmentation, denoising, fusion reconstruction and real-time simulation of biophysical properties

Invited Speaker:

Prof. Andreas Mayer, Friedrich-Alexander-Universität, Erlangen-Nürnberg, Germany

Further Information and Submission Guidelines:

Workshop proceedings will be published as a Lecture Notes in Computer Science volume (Springer).
Additional and up to date information about the workshop, author instructions, submission guidelines, and our invited speaker are available at:

Workshop Organization:

Organising Committee:

Ali Gooya, University of Leeds, UK

Ninon Burgos, CNRS, Brain and Spine Institute, France

David Svoboda, Masaryk University, Czech Republic

Email to contact the organizers: This email address is being protected from spambots. You need JavaScript enabled to view it.

Program Committee (tentative):

Navid Alemi Koohbanani, University of Warwick, UK

Ninon Burgos, CNRS, Brain and Spine Institute, France

Aaron Carass, John Hopkins University, USA

Hamid Fehri, University of Oxford, UK

Ali Gooya, University of Leeds, UK

Matteo Maspero, UMC Utrecht, NL

Martin Maška, Masaryk University, Czech Republic

Jack Noble, Vanderbilt University, USA

Dzung L Pham, National Institutes of Health, USA

Nishant Ravikumar, University of Leeds, UK

Snehashis Roy, National Institutes of Health, USA

David Svoboda, Masaryk University, Czech Republic

Vladimír Ulman, Max Planck Institute of Molecular Cell Biology and Genetics, Germany

Devrim Unay, Izmir University of Economics, Turkey

François Varray, CREATIS, France

Arezoo Zakeri, University of Leeds, UK

Ting Zhao, Janelia Research Campus, USA