(New) Post-proceeding is available online (link)
Estimated Publication Date for non-conference copies: February 14, 2020
Best Paper Award of CSI 2019:
Conditioned Variational Auto-Encoder for Detecting Osteoporotic Vertebral Fractures
Malek El Husseini (TUM); Anjany Sekuboyina (TUM); Amirhossein Bayat (Technical University of Munich); Bjoern Menze (TUM); Maximilian Loeffler (Klinikum rechts der Isar); Jan Kirschke (TUM)
Winners of AASCE Challenge 2019:
Seg4Reg Networks for Automated Spinal Curvature Estimation
Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang and Yefeng Zheng (Tencent YouTu Lab)
Accurate Automated Keypoint Detections for Spinal Curvature Estimation
Kailin Chen, Cheng Peng, Yi Li, Dalong Cheng and Si Wei (iFLYTEK Research South China, Computer Vision Group)
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks
Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco , Gerda Bortsova, Wiro Niessen, Marleen de Bruijne (Erasmus MC; Ecole des Mines de Saint-Etienne; Ecole Centrale de Marseille)
(10/13/2019) The best workshop paper and the AASCE challenge awards are to be announced at the workshop on Oct 17. Please stay tuned!
(10/13/2019) Springer has assigned the new LNCS volume number 11963 for our workshop post-proceedings. Please submit your camera ready files to firstname.lastname@example.org by Oct 31, 2019.
(09/30/2019) Workshop program is now available https://csi2019.wordpress.com/program/
(09/10/2019) Prof. Shisheng He from Tongji University School of Medicine will present the keynote speech for CSI 2019.
(08/25/2019) Reviews and decisions for regular paper submissions have been sent out. AASCE challenge paper submission will be reopen soon.
(07/20/2019) Regular paper deadline. Challenge result/paper submission is still open. Individual late submission please contact workshop chairs.
(04/08/2019) Regular paper submission is open: https://cmt3.research.microsoft.com/CSI2019
Challenge submission (updated): https://aasce19.grand-challenge.org
The spine represents both a vital central axis for the musculoskeletal system and a flexible protective shell surrounding the most important neural pathway in the body, the spinal cord. Spine related diseases or conditions are common and cause a huge burden of morbidity and cost to society. Spine imaging is an essential tool for assessing spinal pathologies. Giving the increasing volume of imaging examinations and the complexity of their assessment, there is pressing need for advanced computerized methods that support the physician in diagnosis, therapy planning, and interventional guidance.
In this workshop, we are inviting researchers to share and exchange their experiences and expertise in spinal imaging and method development. Topics of interest include, but are not limited to:
- Clinical applications of spine imaging
- Computer-aided diagnosis of spine conditions
- Image-guided spine intervention and treatment
- Segmentation, registration, detection, and localization of spinal anatomy
- Statistical modelling of spinal shape and appearance
- Novel imaging and visualization techniques in spine imaging
Also in the workshop, we are going have a new computational challenge:
- Liansheng Wang, Shuo Li, MICCAI 2019 Challenge on Accurate Automated Spinal Curvature Estimation (https://aasce19.github.io/)
All data will be made available for the purposes of the challenge, but will remain publicly available via our SpineWeb (http://spineweb.digitalimaginggroup.ca/) platform to facilitate further research.
All workshop information will be made available via a dedicated website, similar to the previous CSI workshops. Post-proceedings will be published in the Springer LNCS series. Further, there is the intention that the abovementioned Challenge will produce a high-quality journal paper to be submitted to Medical Image Analysis or IEEE Trans Med Imaging.