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6th STACOM@MICCAI 2015: Munich, Germany
- Oscar Camara
, Tommaso Mansi, Mihaela Pop, Kawal S. Rhode
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9534, Springer 2016, ISBN 978-3-319-28711-9
Regular Papers
- Sharath Gopal, Demetri Terzopoulos:
Automated Model-Based Left Ventricle Segmentation in Cardiac MR Images. 3-12 - Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan P. O'Regan, Stuart A. Cook, Andrew P. King, Daniel Rueckert:
Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle. 13-20 - Jan L. Bruse
A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal? 21-29 - Devis Peressutti, Wenjia Bai, Wenzhe Shi, Catalina Tobon-Gomez, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi
Towards Left Ventricular Scar Localisation Using Local Motion Descriptors. 30-39 - Mihaela Constantinescu, Su-Lin Lee, Sabine Ernst
Traversed Graph Representation for Sparse Encoding of Macro-Reentrant Tachycardia. 40-50 - Nicolas Duchateau, Maxime Sermesant:
Prediction of Infarct Localization from Myocardial Deformation. 51-59 - Bianca Freytag, Vicky Y. Wang, G. Richard Christie, Alexander J. Wilson
Parameterisation of Multi-directional Diffusion Weighted Magnetic Resonance Images of the Heart. 60-68 - Hanne B. Kause, Aura Hernández-Sabaté
Confidence Measures for Assessing the HARP Algorithm in Tagged Magnetic Resonance Imaging. 69-79 - Benedetta Biffi, Maria A. Zuluaga
Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study. 80-89 - Toni Lassila
Electrophysiology Model for a Human Heart with Ischemic Scar and Realistic Purkinje Network. 90-97 - Marco Pereañez, Karim Lekadir, Xènia Albà, Pau Medrano-Gracia
Patient Metadata-Constrained Shape Models for Cardiac Image Segmentation. 98-107 - Héloïse Bleton, Ján Margeta, Hervé Lombaert, Hervé Delingette
Myocardial Infarct Localization Using Neighbourhood Approximation Forests. 108-116
Shape Challenge Papers
- Paolo Piras
Systo-Diastolic LV Shape Analysis by Geometric Morphometrics and Parallel Transport Highly Discriminates Myocardial Infarction. 119-129 - Karim Lekadir, Xènia Albà, Marco Pereañez, Alejandro F. Frangi
Statistical Shape Modeling Using Partial Least Squares: Application to the Assessment of Myocardial Infarction. 130-139 - Wenjia Bai, Ozan Oktay, Daniel Rueckert:
Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features. 140-145 - Pierre Ablin, Kaleem Siddiqi
Detecting Myocardial Infarction Using Medial Surfaces - LV Statistical Modelling Challenge: Myocardial Infarction. 146-153 - Nripesh Parajuli
Left Ventricle Classification Using Active Shape Model and Support Vector Machine. 154-161 - Anirban Mukhopadhyay, Ilkay Öksüz
Supervised Learning of Functional Maps for Infarct Classification. 162-170 - Catarina Pinto, Serkan Çimen, Ali Gooya
Joint Clustering and Component Analysis of Spatio-Temporal Shape Patterns in Myocardial Infarction. 171-179 - Jack Allen
Myocardial Infarction Detection from Left Ventricular Shapes Using a Random Forest. 180-189 - Marc-Michel Rohé, Nicolas Duchateau, Maxime Sermesant, Xavier Pennec
Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct. 190-198 - Jan Ehrhardt, Matthias Wilms, Heinz Handels
Automatic Detection of Cardiac Remodeling Using Global and Local Clinical Measures and Random Forest Classification. 199-207 - Mahdi Tabassian, Martino Alessandrini, Peter Claes
Automatic Detection of Myocardial Infarction Through a Global Shape Feature Based on Local Statistical Modeling. 208-216
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