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MS imaging seminar: Rohit Bakshi Jul 28, 2017 12:30 PM - 01:30 PM — L0-006, Teaching & Learning Centre, Queen Elizabeth University Hospital Glasgow
2017 UK PET Chemistry Meeting Sep 01, 2017 09:00 AM - 04:00 PM — University of Hull, England
Simulation and Synthesis in Medical Imaging MICCAI 2017 Workshop Sep 10, 2017 12:00 AM — Québec City, Canada
Workshop on Rhythms in the Brain Sep 11, 2017 09:00 AM - 02:00 PM — Institute of Neuroscience and Psychology, University of Glasgow
Ophthalmic Medical Image Analysis MICCAI 2017 Workshop Sep 14, 2017 12:00 AM — Québec City, Canada

Simulation and Synthesis in Medical Imaging MICCAI 2017 Workshop

Simulation and Synthesis in Medical Imaging (SASHIMI) Workshop at MICCAI 2017
When Sep 10, 2017
from 12:00 AM to 12:00 AM
Where Québec City, Canada
Contact Name
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The Medical Image Computing and Computer Assisted Intervention (MICCAI) community needs data with known ground truth to develop, evaluate, and validate image analysis and reconstruction algorithms. 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: (i) simplified mathematical models to test segmentation and registration algorithms; (ii) detailed mechanistic models (top-down), which incorporate priors on the geometry and physics of image acquisition and formation processes; and (iii) complex spatio-temporal computational models of anatomical variability, organ physiology, or disease progression. Recently, cross-fertilisation between image computing and machine learning gave rise to data-driven, phenomelogical models (bottom-up) that stem from learning directly data associations across modalities, resolutions, etc. With this, not only the application scope has been expanded but also the underlying model assumptions have been refined to increasing levels of realism.

This half-day workshop aims to stimulate the discussion and research in simulation and synthesis approaches, invite new ideas on how to best characterise and evaluate these techniques, and ultimately help bring these two synergistic perspectives closer together.

Call for papers (submission deadline: 12 June 2017)

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