All participants are encouraged to submit a full workshop paper describing their algorithms and results. Manuscript up to 8 pages should follow the template of main conferences’ paper and be submitted via the CSI submission system.
All participants are required to submit a challenge paper. Only those submitted papers to the challenge will be official participants. We will not evaluate submissions of teams not submitted the paper.
Deadline: September 25th 23:59 PST – no extensions will be provided.
Format: Please refer to CSI webpage https://cmt3.research.microsoft.com/CSI2019. Submissions with the incorrect format will not be evaluated. 4-6 pages in Springer LNCS format. Please refer to https://csi2019.wordpress.com/call-for-paper/.
Successful participants with workshop paper will be ranked according the assessment criterion.
A full ranking list including all the participants who completed the spine curvature estimation task, with either workshop paper or one-page abstract, will also be announced during the workshop.
Any publication resulting from any use of the AASCE database may cite the following papers:
- Wu, H., Bailey, Chris., Rasoulinejad, Parham., and Li, S., 2017.Automatic landmark estimation for adolescent idiopathic scoliosis assessment using boostnet. Medical Image Computing and Computer Assisted Intervention:127-135.
- Wang, Liansheng, Qiuhao Xu, Stephanie Leung, Jonathan Chung, Bo Chen, and Shuo Li. "Accurate Automated Cobb Angles Estimation using Multi-View Extrapolation Net." Medical Image Analysis (2019), Volume 58: 101542.
- Chen, Bo, Qiuhao Xu, Liansheng Wang, Stephanie Leung, Jonathan Chung, and Shuo Li. "An Automated and Accurate Spine Curve Analysis System." IEEE Access (2019).
- Wu H, Bailey C, Rasoulinejad P, Li S. Automated comprehensive Adolescent Idiopathic Scoliosis assessment using MVC-Net. Medical image analysis. 2018 Aug 1;48:1-1.