The Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop has been running annually at MICCAI since 2010. The 13th edition of STACOM workshop is going to be held in conjunction with the MICCAI 2022 in Singapore. 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.

List of accepted papers are avaible now

Workshop program

8:00-8:05 Welcome
8:05-9:35 Regular papers I
  8:05-8:20 Interpretable Prediction of Post-Infarct Ventricular Arrhythmia using Graph Convolutional Network
Buntheng LY, Sonny Finsterbach, Marta Nuñez-Garcia, Pierre Jais, Damien Garreau, Hubert Cochet, Maxime Sermesant
  8:20-8:35 Sensitivity analysis of left atrial wall modeling approaches and inlet/outlet boundary conditions in fluid simulations to predict thrombus formation
Carlos Albors Lucas, Jordi Mill, Henrik Kjeldsberg, David Vilades, Andy Luis Olivares, Kristian Valen-Sendstad, Oscar Camara
  8:35-8:50 Deep Computational Model for the Inference of Ventricular Activation Properties
Lei Li, Julia Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodriguez, Vicente Grau
  8:50-9:05 Learning correspondences of cardiac motion using biomechanics-informed modeling
Xiaoran Zhang, Chenyu You, Shawn Ahn, Juntang Zhuang, Lawrence Staib, James Duncan
  9:05-9:20 Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach
Jadie Adams, Shireen Elhabian, Alan Morris, Nawazish Khan

Keynote speaker: Liang Zhong

INITIATE project - integrated computational modeling of right heart mechanics and blood flow dynamics in congenital heart disease

9:20-10:20 image-left Liang Zhong is an Associate Professor at National Heart Centre Singapore and Duke National University of Singapore. He is heading Cardiovascular Engineering and Technologies Theme and co leading Cardiovascular System AI Lab. His research focuses on cardiovascular imaging, computational modeling, cardiovascular mechanics and physiology, and application of artificial intelligence in medicine. He has developed methods for quantification of heart shape, myocardial velocity and strain, and function using MRI feature tracking and 4D flow MRI. He is Principal Investigator for 1) INITIATE project to identify the most useful imaging and circulating biomarkers and exercise testing to guide management of paediatric and adult congenital heart disease [ClinicalTrials: NCT03217240]; 2) APOLLO programme. A 5000 cohort of Singaporean will be established for the study of coronary calcium score, epicardial adipose tissue, stenosis, and plaque using AI algorithm and cardiovascular outcome. His work has been supported by National Research Foundation, National Medical Research Council, Biomedical Research Council, A*STAR, and SingHealth Foundation. He has published over 180 peer-reviewed papers and filed 10 patents.
10:20-10:30 Coffee break
10:30-12:00 LAScarQS Challenge
Left Atrial and Scar Quantification & Segmentation
12:00-14:00 Lunch & poster
Click here to see all the posters
14:00-15:30 CMRxMotion Challenge
Extreme Cardiac MRI Analysis Challenge under Respiratory Motion
15:30-15:45 Coffee break
15:45-17:00 Regular papers II
  15:45-16:00 Unsupervised Echocardiography Registration through Patch-based MLPs and Transformers
Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette
  16:00-16:15 3D Mitral Valve Surface Reconstruction from 3D TEE via Graph Neural Networks
Matthias Ivantsits, Boris Pfahringer, Markus Huellebrand, Lars Walczak, Lennart Tautz, Olena Nemchyna, Serdar Akansel, Jörg Kempfert, Simon Sündermann, Anja Hennemuth
  16:15-16:30 Efficient MRI Reconstruction with Reinforcement Learning for Automatic Acquisition Stopping
Ruru Xu, Ilkay Oksuz
  16:30-16:45 Physics-based deep learning framework to learn and forecast cardiac electrophysiology dynamics
Victoriya Kashtanova, Mihaela Pop, Ibrahim Ayed, Patrick Gallinari, Maxime Sermesant
  16:45-17:00 Post-Infarction Risk Prediction with Mesh Classification Networks
Marcel Beetz, Jorge Corral Acero, Abhirup Banerjee, Ingo Eitel, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Ruben Evertz, Sören Backhaus, Holger Thiele, Alfonso Bueno-Orovio, Pablo Lamata, Andreas Schuster, Vicente Grau
17:00-17:10 Prizes and closing


STACOM 2022 is running two exciting challenges:

CMRxMotion Challenge
image The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). The aim is to assess the effects of respiratory motion on CMR imaging quality and exam the robustness of automatic segmentation models under different four levels of respiratory motion: full breath-hold, half breath-hold, free breathing, and intensive breathing. For training, images from 30 volunteers (120 cases) will be released together with quality scores and ground-truth segmentations. Images from another 30 volunteers (120 cases) will be withheld for the challenge benchmarking. There are two tasks: 1) detection of images with non-diagnostic quality, and 2) automated segmentation that robust to respiratory motion artefacts.
click here for more CMRxMotion challenge information
LAScarQS 2022
image Left Atrial and Scar Quantification & Segmentation Challenge (LAScarQS 2022). The Challenge provides >200 LGE MRIs acquired in real clinical environment from patients suffering atrial fibrillation (AF). Your task is to (semi-)automatically segment LA cavity and quantify LA scars from LGE MRI. The challenge presents an open and fair platform for various research groups to test and validate their methods on these datasets acquired from the clinical environment. To ensure data privacy, the platform will enable remote training and testing on the dataset from different centers in local and the dataset can keep invisible.
click here for more LAScarQS challenge information