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BACON 2016 : Workshop on Brain Analysis using COnnectivity Networks

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Link: https://biomedic.doc.ic.ac.uk/miccai16-bacon/
 
When Oct 17, 2016 - Oct 17, 2016
Where Athens, Greece
Abstract Registration Due Jun 14, 2016
Submission Deadline Jun 17, 2016
Notification Due Jul 25, 2016
Final Version Due Aug 12, 2016
Categories    computer science   medical imaging   neuroscience   biomedical engineering
 

Call For Papers

The 1st Workshop on Brain Analysis using Connectivity Networks (BACON)
In Conjunction with MICCAI 2016

October 17th, 2016, Athens, Greece

https://biomedic.doc.ic.ac.uk/miccai16-bacon/


**Scope**

Understanding brain connectivity in a network-theoretic context has shown much promise in recent years. This type of analysis identifies organisational principles of the brain, bringing a new perspective to neuroscience. Combined with large public connectomics databases recently made available, this development has the potential to transform our understanding of the brain. However, connectome analysis is still an emerging field and there is a crucial need for robust computational methods to fully unravel its potential. The Workshop on Brain Analysis using Connectivity Networks (BACON), organized in conjunction with MICCAI 2016, seeks to address these challenges. BACON provides a platform to discuss the development of new analytic techniques, methods to evaluate commonly used approaches, pre-processing effects, and any other topics relevant to quantifying brain connectivity.

We invite submission from a variety of fields, in order to bring together researchers in medical imaging and neuroscience to discuss the challenges and development of new techniques in brain connectivity analysis, as well as their benefits for clinical applications.


**Topics of interest**

-Data processing for network construction

-Multimodal processing, particularly fMRI and DTI fusion

-Network-based classification and biomarker identification

-Longitudinal analysis

-Evaluation/model validation

-Visualisation

-Applications of clinical significance: topics can vary widely, including neurodevelopment and aging, disease effects, genetic variability in brain networks, etc.

-Group-level network analysis, particularly for large datasets


**Submission guidelines**

Authors should prepare manuscripts of no longer than 10 pages, including references. The manuscripts should be anonymous, and formatted following the LNCS style guidelines (https://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).
All submissions will be reviewed by the program committee, comprised of experts in the field. Papers selection will be based on the soundness of the proposed method or application, relevance and clarity of presentation.


**Important Dates**

- Registration for Submission: June 14th, 2016
- Full Paper Submission: June 17th, 2016
- Notification of Acceptance: July 25th, 2016
- Camera-ready Version: August 12th, 2016
- Workshop Date: October 17th, 2016 (am)


**Invited Speakers**

-Gael Varoquaux, INRIA-Saclay, France

-Neda Jahanshad, University of Southern California, USA

**Organisers**

Sarah Parisot, Imperial College London
Jonathan Passerat-Palmbach, Imperial College London
Marcus Schirmer, Harvard Medical School
Boris Gutman, University of Southern California

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