posted by organizer: jopasserat || 1836 views || tracked by 7 users: [display]

Big Data Initiatives for Connectomics Re 2015 : Symposium on Big Data Initiatives for Connectomics Research


When Aug 30, 2015 - Aug 30, 2015
Where Imperial College London, London, UK
Submission Deadline Jun 21, 2015
Notification Due Jun 28, 2015
Final Version Due Jul 7, 2015
Categories    computer science   medical imaging   big data

Call For Papers

2015 International conference on Brain Informatics and Health (BIH)

Satellite symposium: Big Data Initiatives for Connectomics (30th Aug)

Brain connectivity network analysis has the potential to improve understanding of neural processes and neurological diseases. Large-scale imaging projects such as the (developing) Human Connectome are collecting vast imaging databases of brain connectivity data for young adults, neonates and fetuses. Using these studies to build a common brain connectome within a population would allow us to identify abnormal connectivity patterns and link them with environmental, cognitive or genetic knowledge.

At the era of Big Data and High Performance Computing, large scientific datasets made available to the public must be accompanied by original and efficient methods to process them, store them reliably and make them available to the widest number of scientists. This requires the development of tools and methods that not only allow sensible analysis on the single subject level, but also allow robust group-wise analysis.


This symposium is looking for abstracts relating to:

Network construction and evaluation:

Group-wise frameworks for cortical segmentation and network modelling
Large scale spatio/temporal models of the brain
Bayesian/causal modelling using big data
Comparisons of functional and structural connectivity.
Big data mining of high dimensional connectivity networks
Predictive modelling and inference using connectome databases.

Data storage & handling of large connectome datasets:

File formats
Efficient tools for sharing and processing.
Brain mapping and visualisation of high-dimensional connectivity data


Authors should prepare short abstracts of no longer than 500 words (including references but excluding figure captions). Abstracts must include a complete author list and title (including all words critical for subject index). Do not bold or italicize your full title. Submission should be sent to (

A selection of the best abstracts will be presented as talks (15 minutes with 5 minutes questions). All remaining accepted abstracts would be presented as posters.


Abstract submission deadline: June 21st

Notification of Acceptance: June 28st

Camera ready abstracts July 7th

Symposium 30th August



· Sarah Parisot, Imperial College London

· Emma Robinson, Imperial College London

· Jonathan Passerat-Palmbach, Imperial College London

Steering committee (more to be announced):

Bertrand Thirion (INRIA, France)
Gael Varoquaux (INRIA, France)
Salma Mesmoudi (Institute of Complex Systems, Paris, France)
May Yong (Imperial College London, UK)
Saad Jbabdi (FMRIB, Oxford University)
Eugene Duff (FMRIB, Oxford University)
Gareth Ball (Kings College London)

Related Resources

MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
ICML 2017   34th International Conference on Machine Learning
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
IJE 2016   International Journal of Education
Big Data- ADDS 2017   Special Issue on Big Data Analytics & Data-Driven Science
ICCV 2017   International Conference on Computer Vision
EnGeoData - JDSA 2017   Special Issue on Environmental and Geospatial Data Analytics - International Journal of Data Science and Analytics, Springer
ISMIS 2017   23rd International Symposium on Methodologies for Intelligent Systems
ICMLSC - ACM 2017   2017 International Conference on Machine Learning and Soft Computing (ICMLSC 2017)--Ei, ISI and Scopus
CEWIT 2017   13th International Conference & Expo on Emerging Technologies for a Smarter World