Recent advances in neuroimaging and statistical machine learning provide an exceptional opportunity for investigators and physicians to discover complex relationships between brain, behaviors, and mental and neurological disorders. MLCN 2018 workshop, as a satellite event of MICCAI 2018, aims to bring together researchers in both theory and application from various fields in domains of spatial statistics, pattern recognition in neuroimaging, and predictive clinical neuroscience. Topics of interests include but are not limited to:
Applications of spatio-temporal modeling in predictive clinical neuroscience
Spatial regularization in decoding clinical neuroimaging data
Spatial statistics in neuroimaging
Learning with structured inputs and outputs in clinical neuroscience
Multi-task learning in analyzing structured neuroimaging data
Deep learning in analyzing structured neuroimaging data
Model stability and interpretability in clinical neuroscience
Christos Davatzikos (University of Pennsylvania)
Gaël Varoquaux (Parietal team, INRIA)
Jian Kang (University of Michigan)
The workshop seeks high quality, original, and unpublished work on algorithms, theory, and applications of machine learning in clinical neuroimaging and spatially structured data analysis. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style of up to 8-pages papers using the CMT system at https://cmt3.research.microsoft.com/MLCN2018. This workshop uses a double-blind review process in the evaluation phase, thus authors must ensure anonymous submissions. Accepted papers will be published in a joint proceeding with the MICCAI conference.
Paper submission deadline: June 11, 2018
Notification of Acceptance: July 16, 2018
Camera-ready Submission: July 23, 2018
Workshop Date: September 20, 2018
Best regards,
MLCN 2018 Organizing Committee,
Email: mlcnworkshop@gmail.com
Website: https://mlcn2018.com/
twitter: @MLCN2018