REGULAR PAPERS Automated Model-Based Left Ventricle Segmentation in Cardiac MR Images Sharath Gopal, Demetri Terzopoulos Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan O'Regan, Stuart Cook, Andrew King, Daniel Rueckert Towards Left Ventricular Scar Localisation Using Local Motion Descriptors Devis Peressutti, Wenjia Bai, Wenzhe Shi, Catalina Tobon-Gomez, Thomas Jackson, Manav Sohal, Aldo Rinaldi, Daniel Rueckert, Andrew King Prediction of infarct localization from myocardial deformation Nicolas Duchateau, Maxime Sermesant Confidence Measures for Assessing the HARP Algorithm in Tagging Magnetic Resonance Imaging Hanne Kause, Aura Hernandez, Patricia Márquez-Valle, Andrea Fuster, Luc Florack, Hans van Assen, debora gil Papillary Muscle Segmentation from a Multi-Atlas Database: A Feasibility Study Benedetta Biffi, Maria A. Zuluaga, Sébastien Ourselin, Andrew M. Taylor, Silvia Schievano Electrophysiology model for a human heart with ischemic scar and realistic Purkinje network Toni Lassila, Matthias Lange, Antonio R. Porras Perez, Karim Lekadir, Xènia Alba, Gemma Piella, Alejandro Frangi CHALLENGE PARTICIPANTS' PAPERS Systo-diastolic LV shape analysis by Geometric Morphometrics and Parallel Transport highly discriminates myocardial infarction Paolo Piras, Luciano Teresi, Stefano Gabriele, Antonietta Evangelista, Giuseppe Esposito, Valerio Varano, Concetta Torromeo, Paola Nardinocchi, Paolo Emilio Puddu Statistical Shape Modeling using Partial Least Squares: Application to Myocardial Infarction Assessment Karim Lekadir, Xènia Alba, Marco Pereañez, Alejandro Frangi Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features Wenjia Bai, Ozan Oktay, Daniel Rueckert Detecting Myocardial Infarction using Medial Surfaces Pierre Ablin, Kaleem Siddiqi Left ventricle classification using Active Shape Model and Support Vector Machine Nripesh Parajuli, Allen Lu, James Duncan Supervised Learning of Functional Maps for Infarction Classification Anirban Mukhopadhyay, Ilkay Oksuz, Sotirios A. Tsaftaris Joint Clustering and Component Analysis of Spatio-Temporal Shape Patterns in Myocardial Infarction Catarina Pinto, Serkan Çimen, Ali Gooya, Karim Lekadir, Alejandro Frangi Myocardial Infarction Detection from Left Ventricular Shapes using a Random Forest Jack Allen, Ernesto Zacur, Erica Dall'Armellina, Pablo Lamata, Vicente Grau Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct Marc-Michel Rohé, Nicolas Duchateau, Maxime Sermesant, Xavier Pennec Automatic detection of cardiac remodeling using global and local clinical measures and random forest classification Jan Ehrhardt, Matthias Wilms, Heinz Handels, Dennis Säring Automatic Detection of Myocardial Infarction Through a Global Shape Feature Based on Local Statistical Modeling Mahdi Tabassian, Martino Alessandrini, Peter Claes, Luca De Marchi, Dirk Vandermeulen, Guido Masetti, Jan D'hooge CHALLENGE COLLATION PAPER Statistical shape modeling of the left ventricle: myocardial infarct classification challenge Pau Medrano-Gracia, Xingyu Zhang, Avan Suinesiaputra, Brett Cowan and Alistair A. Young |