The Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop has been running annually at MICCAI since 2010. The 12th edition of STACOM workshop will be held in conjunction with the MICCAI 2021 in Strasbourg, France. The STACOM workshop is aiming to create a collaborative forum for young/senior researchers (engineers, biophysicists, mathematicians) and clinicians, working on: statistical analysis of cardiac morphology and dynamics, computational modelling of the heart and fluid dynamics, data/models sharing, personalisation of cardiac electro-mechanical models, quantitative image analysis and translational methods into clinical practice.
|Date:||27 September 2021|
|9:00-10:00 UTC||Keynote speaker: Sebastian Kozerke|
|10:00-12:00 UTC||M2Ms-2 (Multi-Disease, Multi-View & Multi-Center Right) Right Ventricular Challenge|
|12:00-15:00 UTC||Lunch and posters|
|15:00-17:00 UTC||Regular papers|
The STACOM 2021 workshop accepts regular paper submission describing new methods in the following (not limited) topics:
- Statistical analysis of cardiac morphology and morphodynamics
- Computational modeling and simulation of the heart and the great vessels
- Personalisation of cardiac model, electrophysiology and mechanics
- Quantitative cardiac image analysis
- Sharing and reusing cardiac model repository
- Translational studies of cardiac image analysis in clinical practice
The STACOM 2021 workshop will accept 8-page papers (LNCS-Springer format) as regular submissions or challenges. General rules for the submission:
- Initial submission must be anonymised and limited to 8 LNCS pages including the References.
- Use the LNCS templates/guidelines.
- Camera-ready version of accepted papers should include authors’ names & affiliations and can be up to 12 pages
Note that there might be different rules prior paper submission for the challenges. Please refer to specific guidelines from the challenge website. Selected papers will be published in a Lecture Notes in Computer Science proceeding published by Springer (see previous STACOM proceedings).
M&Ms-2: Multi-Disease, Multi-View & Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge
In this challenge, we invite participants to implement and evaluate advanced approaches based on machine/deep learning for right ventricular segmentation in a multi-disease, multi-view and multi-center setting. A novel aspect of this challenge is the inclusion of long-axis images to help the automatic definition of the basal plane of the RV, which can be confused with the right atrium.