Accepted Papers

Regular papers

1. Fully Automatic Bi-Atria Segmentation from Late Gadolinium-Enhanced MRIs Using Double Convolutional Neural Networks
   Zhaohan Xiong, Aaqel Nalar, Kevin Jamart, Martin Stiles, Vadim Fedorov, and Jichao Zhao

2. Two-stage 2D CNN for automatic atrial segmentation from LGE-MRIs
   Kevin Jamart, Zhaohan Xiong, Gonzalo Maso Talou, Martin Stiles, Jichao Zhao

3. DeepLA: Automated Segmentation of Left Atrium from Interventional 3D Rotational Angiography Using CNN
   Kobe Bamps, Stijn De Buck, Jeroen Bertels, Rik Willems, Christophe Garweg, Peter Haemers, Joris Ector

4. Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training
   Huaqi Qiu, Chen Qin, Loic Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert

5. 3D Left Ventricular Segmentation From 2D Cardiac MR Images Using Spatial Context
   Sofie Tilborghs, Tom Dresselaers, Piet Claus, Jan Bogaert, Frederik Maes

6. Non-Invasive Pressure Estimation in Patients with Pulmonary Arterial Hypertension: Data-driven or Model-based?
   Yingyu Yang, Stephane Gillon, Jaume Banus Cobo, Pamela Moceri, Maxime Sermesant

7. Multimodal cardiac segmentation using disentangled representation learning
   Agisilaos Chartsias, Georgios Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David Newby, Rohan Dharmakumar, Sotirios Tsaftaris

8. Towards Hyper-Reduction of Cardiac Models using Poly-Affine Deformation
   Gaetan Desrues, Hervé Delingette, Maxime Sermesant

9. Conditional Generative Adversarial Networks for the prediction of cardiac contraction from individual frames
   Julius Ossenberg-Engels, Vicente Grau

10. Co-registered cardiac ex vivo DT images and histological images for fibrosis quantification
    Peter Lin, Anne Martel, Susan Camilleri, Mihaela Pop

11. Manufacturing of Ultrasound & MRI Compatible Aortic Valves Using 3D Printing for Analysis & Simulation
    Shu Wang, Harminder Gill, Weifeng Wan, Joao Filipe Fernandes, Yohan Noah, Helen Tricker, Ronak Rajani, Sergio Uribe, Jesus Urbina, Julio Sotello, Pablo Lamata, Kawal Rhode

12. End-to-end Cardiac Ultrasound Simulation for a Better Understanding of Image Quality
    Alexandre Legay, Thomas Tiennot, Jean-Francois Gelly, Maxime Sermesant, Jean Bulté

13. 4D CNN for semantic segmentation of cardiac volumetric sequences
    Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil Tenenholtz, Holger Roth

14. Ultra-DenseNet for Low-dose X-ray Image Denoising in cardiac catheter-based procedures
    Yimin Luo, Daniel Toth, Kui Jiang, Kuberan Pushparajah, Kawal Rhode

15. Combined Intensity- and Point-Based Cardiac Registration in the Presence of Landmark Errors
    Mia Mojica, Mehran Ebrahimi

16. Modality Independent Left Ventricle Scar Classification
    Hugh O’Brien, John Whitaker, Baldeep Sidhu, Justin Gould, Tanja Kurzendorfer, Mark O’Neill, Ronak Rajani, Christopher Rinaldi, Kawal Rhode, Peter Mountney, Steven Niederer

CRT-EPIGGY19 challenge

1. Electrophysiological Model Personalisation to Porcine in-vivo Data for Paced Activation Prediction
   ​Nicolas Cedilnik, Maxime Sermesant

2. Evaluation of meshless methods for cardiac electrophysiological simulations based on porcine experimental data
   Konstantinos A. Mountris, Esther Pueyo​

3. Prediction of electrical activation patterns after cardiac resynchronization therapy in porcine hearts with meshless models
   Carlos Albors, Eric Lluch, Jordi Mill, Rubén Doste, Oscar Camara, Mathieu De Craene, Hernán Morales​

4. Prediction of CRT activation sequence by personalization of biventricular model from electroanatomical maps
   Juan Francisco Gomez, Rafa Sebastian

5. Optimization of CRT therapy device based on personalized computer model
   Svyatoslav Khamzin, Arsenii Dokuchaev, Olga Solovyova

Multi-sequence Cardiac MR Segmentation challenge

1. Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation
   ​Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert​

2. Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhanced Cardiac MRI
   Victor Manuel Campello, Carlos Martin-Isla, Cristian Izquierdo Morcillo, Miguel Angel Gonzalez Ballester, Karim Lekadir​

3. Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network
   Jiexiang Wang, Hongyu Huang, Chaoqi Chenm Wenao Ma, Yue Huang, Xinghao Ding​

4. SK-Unet: an Improved U-net Model with Selective Kernel for the Segmentation of Multi-sequence Cardiac MR
   Xiyue Wang, Sen Yang, Mingxuan Tang, Yunpeng Wei, Xiao Han, Ling He, Jing Zhang​

5. Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation
   Sulaiman Vesal, Nishant Ravikumar, Andreas Maier​

6. Cardiac Segmentation of LGE MRI with Noisy Labels
   Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu​

7. An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image
   Yashu Liu, Wei Wang, Kuanquan Wang, Gongning Luo, Chengqin Y​

8. Deep learning based multi-model cardiac MR image segmentation
   Rencheng Zheng, Xingzhong Zhao​

9. Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN
   Xumin Tao, Hongrong Wei, Wufeng Xue, Dong Ni​

10. Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation
    Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern Menze​

11. Pseudo-3D Network for Multi-sequence Cardiac MR Segmentation
    Tao Liu, Yun Tian, Shifeng Zhao, Xiaoying Huang, Yang Xu, Gaoyuan Jiang, Qingjun Wang​

12. A Two-Stage Fully Automatic Segmentation Scheme Using Both 2D and 3D U-Net for Multi-Sequence Cardiac MR
    Haohao Xu, Zhuangwei Xu, Wenting Gu, Qi Zhang​

13. Knowledge-based multi-sequence MR segmentation via deep learning with a hybrid U-Net++ model
    Jinchang Ren, He Sun, Yumin Huang, Hao Gao​

14. Style Data Augmentation for Robust Segmentation of Multi-Modality Cardiac MRI
    Buntheng LY, Hubert Cochet, Maxime Sermesant​