CNI - Workshop




Connectomics is the study of whole brain association maps, i.e., the connectome, with a focus on understanding, quantifying, and visualizing brain network organization. Connectomics research is fo interest to the neuroscientific community largely because of its potential to understand human cognition, its variation over development and aging, and its alteration in disease or injury. As such, big data in connectomics are rapidly growing with emerging international research initiatives collecting large, high quality brain images with structural, diffusion and functional imaging modalities. CNI aims to propel research which leverages this increasing wealth of connectomic data. CNI will bring together computational researchers (computer scientists, data scientists, computational neuroscientists) to discuss advancements in connectome construction, analysis, visualization and their use in clinical diagnosis and group comparison studies.

CNI aims to unify computational researchers with neuroscientists and cultivate interactions toward translational applications for the clinic. For the 3rd year, CNI will feature a single-track workshop with keynote speakers, technical paper presentations and poster sessions. In conjunction, CNI will host a Challenge with collaborators at the Kennedy Krieger Institute in Baltimore, MD, USA.

Accepted papers will be published in LNCS proceeding.




Topics of interest include but are not limited to:

  • Machine learning and data driven methods for biomarker discovery
  • Geometric deep learning for connectomics
  • Connectome construction: Multi-modal and combinatorial fusion
  • Connectome modeling
  • Evaluation and validation of connectome models
  • Visualization
  • Longitudinal analyses
  • Computer-assisted diagnoses
  • High performance computation

Important Dates

  • Submission deadline: July 28th July 31st, 2019, 23:59 EST
  • Notification of acceptance: August 13th August 14th, 2019
  • Camera-ready deadline: August 18th August 19th, 2019, 23:59 EST

Full length paper submission guidelines

Important: Authors are responsible for ensuring submissions are anonymised with author and institutional information removed from the manuscript/abstract for a double blind review.

1. Paper format: 8 to 10 pages in length is recommended. The maximum is 12 pages including Abstract, Figures/Tables/Captions, and References. We accept submissions in Adobe Portable Document Format (PDF) only, and LateX for camera-ready submission.
2. Style guidelines: See Springer LNCS for authors' guidelines.
3. Review process: Double blind, with at least 2 reviewers
4. Optional: Supplemental material (images, videos, or code)

Accepted Submissions
1. Camera-ready deadline: Monday Aug 19th 2019, 23:59 EST
2. Upload your camera-ready submission via CMT.
3. IMPORTANT: Fill out and include in your upload the LNCS consent form. Your submission cannot be published without it.