Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges: 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

Front Matter ....Pages I-XIV
Front Matter ....Pages 1-1
 Estimating Sheets in the Heart Wall  (Tabish A. Syed, Babak Samari, Kaleem Siddiqi)....Pages 3-11
 Automated Motion Correction and 3D Vessel Centerlines Reconstruction from Non-simultaneous Angiographic Projections  (Abhirup Banerjee, Rajesh K. Kharbanda, Robin P. Choudhury, Vicente Grau)....Pages 12-20
 Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning  (Shusil Dangi, Ziv Yaniv, Cristian A. Linte)....Pages 21-31
 Statistical Shape Clustering of Left Atrial Appendages  (Jakob M. Slipsager, Kristine A. Juhl, Per E. Sigvardsen, Klaus F. Kofoed, Ole De Backer, Andy L. Olivares et al.)....Pages 32-39
 Deep Learning Segmentation of the Left Ventricle in Structural CMR: Towards a Fully Automatic Multi-scan Analysis  (Hakim Fadil, John J. Totman, Stephanie Marchesseau)....Pages 40-48
 Cine and Multicontrast Late Enhanced MRI Registration for 3D Heart Model Construction  (Fumin Guo, Mengyuan Li, Matthew Ng, Graham Wright, Mihaela Pop)....Pages 49-57
 Joint Analysis of Personalized In-Silico Haemodynamics and Shape Descriptors of the Left Atrial Appendage  (Jordi Mill, Andy L. Olivares, Etelvino Silva, Ibai Genua, Alvaro Fernandez, Ainhoa Aguado et al.)....Pages 58-66
 How Accurately Does Transesophageal Echocardiography Identify the Mitral Valve?  (Claire Vannelli, Wenyao Xia, John Moore, Terry Peters)....Pages 67-76
 Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion  (Omar S. Al-Kadi, Allen Lu, Albert J. Sinusas, James S. Duncan)....Pages 77-84
 Context Aware 3D Fully Convolutional Networks for Coronary Artery Segmentation  (Yongjie Duan, Jianjiang Feng, Jiwen Lu, Jie Zhou)....Pages 85-93
 Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas  (Esther Puyol-Antón, Bram Ruijsink, Hélène Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel et al.)....Pages 94-102
 Computational Modelling of Electro-Mechanical Coupling in the Atria and Its Changes During Atrial Fibrillation  (Sofia Monaci, David Nordsletten, Oleg Aslanidi)....Pages 103-113
 High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort  (Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Stefan K. Piechnik et al.)....Pages 114-121
 Lumen Segmentation of Aortic Dissection with Cascaded Convolutional Network  (Ziyan Li, Jianjiang Feng, Zishun Feng, Yunqiang An, Yang Gao, Bin Lu et al.)....Pages 122-130
 A Vessel-Focused 3D Convolutional Network for Automatic Segmentation and Classification of Coronary Artery Plaques in Cardiac CTA  (Jiang Liu, Cheng Jin, Jianjiang Feng, Yubo Du, Jiwen Lu, Jie Zhou)....Pages 131-141
 Semi-automated Image Segmentation of the Midsystolic Left Ventricular Mitral Valve Complex in Ischemic Mitral Regurgitation  (Ahmed H. Aly, Abdullah H. Aly, Mahmoud Elrakhawy, Kirlos Haroun, Luis Prieto-Riascos, Robert C. Gorman Jr. et al.)....Pages 142-151
 Atrial Scar Segmentation via Potential Learning in the Graph-Cut Framework  (Lei Li, Guang Yang, Fuping Wu, Tom Wong, Raad Mohiaddin, David Firmin et al.)....Pages 152-160
 4D Cardiac Motion Modeling Using Pair-Wise Mesh Registration  (Siyeop Yoon, Stephen Baek, Deukhee Lee)....Pages 161-170
 ISACHI: Integrated Segmentation and Alignment Correction for Heart Images  (Benjamin Villard, Ernesto Zacur, Vicente Grau)....Pages 171-180
 3D LV Probabilistic Segmentation in Cardiac MRI Using Generative Adversarial Network  (Dong Yang, Bo Liu, Leon Axel, Dimitris Metaxas)....Pages 181-190
 A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data  (Chengjia Wang, Tom MacGillivray, Gillian Macnaught, Guang Yang, David Newby)....Pages 191-199
 Centreline-Based Shape Descriptors of the Left Atrial Appendage in Relation with Thrombus Formation  (Ibai Genua, Andy L. Olivares, Etelvino Silva, Jordi Mill, Alvaro Fernandez, Ainhoa Aguado et al.)....Pages 200-208
Front Matter ....Pages 209-209
 Automatic 3D Atrial Segmentation from GE-MRIs Using Volumetric Fully Convolutional Networks  (Qing Xia, Yuxin Yao, Zhiqiang Hu, Aimin Hao)....Pages 211-220
 Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss  (Shuman Jia, Antoine Despinasse, Zihao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs et al.)....Pages 221-229
 Fully Automated Left Atrium Cavity Segmentation from 3D GE-MRI by Multi-atlas Selection and Registration  (Mengyun Qiao, Yuanyuan Wang, Rob J. van der Geest, Qian Tao)....Pages 230-236
 Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation  (Cheng Bian, Xin Yang, Jianqiang Ma, Shen Zheng, Yu-An Liu, Reza Nezafat et al.)....Pages 237-245
 Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation  (Xin Yang, Na Wang, Yi Wang, Xu Wang, Reza Nezafat, Dong Ni et al.)....Pages 246-254
 Attention Based Hierarchical Aggregation Network for 3D Left Atrial Segmentation  (Caizi Li, Qianqian Tong, Xiangyun Liao, Weixin Si, Yinzi Sun, Qiong Wang et al.)....Pages 255-264
 Segmentation of the Left Atrium from 3D Gadolinium-Enhanced MR Images with Convolutional Neural Networks  (Chandrakanth Jayachandran Preetha, Shyamalakshmi Haridasan, Vahid Abdi, Sandy Engelhardt)....Pages 265-272
 V-FCNN: Volumetric Fully Convolution Neural Network for Automatic Atrial Segmentation  (Nicoló Savioli, Giovanni Montana, Pablo Lamata)....Pages 273-281
 Ensemble of Convolutional Neural Networks for Heart Segmentation  (Wilson Fok, Kevin Jamart, Jichao Zhao, Justin Fernandez)....Pages 282-291
 Multi-task Learning for Left Atrial Segmentation on GE-MRI  (Chen Chen, Wenjia Bai, Daniel Rueckert)....Pages 292-301
 Left Atrial Segmentation Combining Multi-atlas Whole Heart Labeling and Shape-Based Atlas Selection  (Marta Nuñez-Garcia, Xiahai Zhuang, Gerard Sanroma, Lei Li, Lingchao Xu, Constantine Butakoff et al.)....Pages 302-310
 Deep Learning Based Method for Left Atrial Segmentation in GE-MRI  (Yashu Liu, Yangyang Dai, Cong Yan, Kuanquan Wang)....Pages 311-318
 Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI  (Sulaiman Vesal, Nishant Ravikumar, Andreas Maier)....Pages 319-328
 A Semantic-Wise Convolutional Neural Network Approach for 3-D Left Atrium Segmentation from Late Gadolinium Enhanced Magnetic Resonance Imaging  (Davide Borra, Alessandro Masci, Lorena Esposito, Alice Andalò, Claudio Fabbri, Cristiana Corsi)....Pages 329-338
 Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning  (Élodie Puybareau, Zhou Zhao, Younes Khoudli, Edwin Carlinet, Yongchao Xu, Jérôme Lacotte et al.)....Pages 339-347
 Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images  (Coen de Vente, Mitko Veta, Orod Razeghi, Steven Niederer, Josien Pluim, Kawal Rhode et al.)....Pages 348-356
 Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation  (Tim Sodergren, Riddhish Bhalodia, Ross Whitaker, Joshua Cates, Nassir Marrouche, Shireen Elhabian)....Pages 357-367
Front Matter ....Pages 369-369
 Left-Ventricle Quantification Using Residual U-Net  (Eric Kerfoot, James Clough, Ilkay Oksuz, Jack Lee, Andrew P. King, Julia A. Schnabel)....Pages 371-380
 Left Ventricle Full Quantification Using Deep Layer Aggregation Based Multitask Relationship Learning  (Jiahui Li, Zhiqiang Hu)....Pages 381-388
 Convexity and Connectivity Principles Applied for Left Ventricle Segmentation and Quantification  (Elias Grinias, Georgios Tziritas)....Pages 389-401
 Calculation of Anatomical and Functional Metrics Using Deep Learning in Cardiac MRI: Comparison Between Direct and Segmentation-Based Estimation  (Hao Xu, Jurgen E. Schneider, Vicente Grau)....Pages 402-411
 Automated Full Quantification of Left Ventricle with Deep Neural Networks  (Lihong Liu, Jin Ma, Jianzong Wang, Jing Xiao)....Pages 412-420
 ESU-P-Net: Cascading Network for Full Quantification of Left Ventricle from Cine MRI  (Wenjun Yan, Yuanyuan Wang, Shaoxiang Chen, Rob J. van der Geest, Qian Tao)....Pages 421-428
 Left Ventricle Full Quantification via Hierarchical Quantification Network  (Guanyu Yang, Tiancong Hua, Chao Lu, Tan Pan, Xiao Yang, Liyu Hu et al.)....Pages 429-438
 Automatic Left Ventricle Quantification in Cardiac MRI via Hierarchical Refinement of High-Level Features by a Salient Perceptual Grouping Model  (Angélica Atehortúa, Mireille Garreau, David Romo-Bucheli, Eduardo Romero)....Pages 439-449
 Cardiac MRI Left Ventricle Segmentation and Quantification: A Framework Combining U-Net and Continuous Max-Flow  (Fumin Guo, Matthew Ng, Graham Wright)....Pages 450-458
 Multi-estimator Full Left Ventricle Quantification Through Ensemble Learning  (Jiasha Liu, Xiang Li, Hui Ren, Quanzheng Li)....Pages 459-465
 Left Ventricle Quantification Through Spatio-Temporal CNNs  (Alejandro Debus, Enzo Ferrante)....Pages 466-475
 Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI  (Yeonggul Jang, Sekeun Kim, Hackjoon Shim, Hyuk-Jae Chang)....Pages 476-483
Back Matter ....Pages 485-487