Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop has been running annually at MICCAI since 2010. The 8th edition of STACOM workshop will be held on 10 September 2017, with a scope 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.

The STACOM 2017 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

In this edition, the workshop also holds two challenges:

  • Multi-Modality Whole Heart Segmentation (MM-WHS)
  • Automated Cardiac Diagnosis Challenge (ACDC)


Key dates

TBA Submission site open
TBA Abstract submission
TBA Paper submission
TBA Notification of acceptance
TBA Camera ready
10 Sept Workshop (full-day)


Submit Your Paper

The STACOM 2016 workshop will accept 8-page papers (LNCS-Springer format) as regular submissions or challenges. Note that there are 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).


Multi-Modality Whole Heart Segmentation

Segmentation and registration of whole heart images are still challenging. The extraction and modeling of whole heart substructures currently relies heavily on manual delineation, which is a time-consuming task and it is also prone to errors and dependent on the expertise of the observer. The task is to automatically delineate the whole heart from both cardiac CT and cardiac MRI data. 60 cardiac CT/CTA and 50+ cardiac MRI volumes in 3D volumes that cover the whole heart are provided. This challenge is organized by Xiahai Zhuang (Fudan University, China), Guang Yang (Imperial College London, UK) and Lei Li (Shanghai Jiao Tong University, China).

Automated Cardiac Diagnosis Challenge

The goal of this contest is two-fold:

  1. Compare the performance of automatic methods on the segmentation of the left ventricular endocardium and epicardium as the right ventricular endocardium for both end diastolic and end systolic phase instances
  2. Compare the performance of automatic methods for the classification of the examinations in five classes (normal case, heart failure with infarction, dilated cardiomyopathy, hypertrophic cardiomyopathy, abnormal right ventricle)

The challenge data is composed by 150 patients with cine-MR images acquired in clinical routine. This challenge is organized by Pierre-Marc Jodoin (University of Sherbrooke, Canada), Alain Lalande (University of Bourgogne, France), and Olivier Bernard (University of Lyon, France).


Alistair Young

University of Auckland, New Zealand

Mihaela Pop

University of Toronto, Canada

Maxime Sermesant

Asclepios INRIA, France

Tommaso Mansi

Siemens Healthcare, Medical Imaging Technologies, USA

Kawal Rhode

King's College London, United Kingdom

Kristin McLeod

Simula Research Laboratory, Norway

Xiahai Zhuang

Fudan University, China

Guang Yang

Imperial College London, UK

Lei Li

Shanghai Jiao Tong University, China

Pierre-Marc Jodoin

University of Sherbrooke, Canada

Alain Lalande

University of Bourgogne, France

Olivier Bernard

University of Lyon, France

Avan Suinesiaputra

University of Auckland, New Zealand