The workshop will be organized as a symposium, with both invited speakers and contributed talks as well as a poster and demo session. We welcome short abstracts of current work and/or short proposals for future initiatives related to the BigBrain or similar data.
The topics to be considered will include:
- Methods and algorithms to analyze the BigBrain and related data,
especially (but not necessarily) concerning repair and preprocessing
- segmentation and mapping of cortical layers, areas, and
- visualization and annotation tools
- deep learning and machine learning approaches
- modeling and simulation
- HPC aspects of managing, storing and processing big data (high resolution
and/or very large volume)
- Studies and teaching activities around the BigBrain
All talks will be recorded and published on bigbrainproject.org.
Please provide a short abstract, not exceeding 500 words, describing the main aspects of your research or the tool you propose to present. You may also add one figure. Abstracts will be published with the workshop program.
Please also provide a preference for your research presentation method: As a talk, as a poster, or as the demonstration (demo) of a tool for visualizing or working with the BigBrain data. The final decision will be made by the program committee.
- Abstract submission for talks: September 27, 2022
- Abstract submission for posters: October 11, 2022
Please note that you need to register for the CMS in order to submit an abstract. Please log in via --> Helmholtz AAI --> your institution/Google/Orcid/Github. Please contact us if this does not work for you.