Accepted Posters

Regular papers

  • Zhaohan Xiong, Aaqel Nalar, Kevin Jamart, Martin Stiles, Vadim Fedorov, and Jichao Zhao, “Fully Automatic Bi-Atria Segmentation from Late Gadolinium-Enhanced MRIs Using Double Convolutional Neural Networks"
  • Kevin Jamart, Zhaohan Xiong, Gonzalo Maso Talou, Martin Stiles, Jichao Zhao, "Two-stage 2D CNN for automatic atrial segmentation from LGE-MRIs"
  • Kobe Bamps, Stijn De Buck, Jeroen Bertels, Rik Willems, Christophe Garweg, Peter Haemers, Joris Ector, "DeepLA: Automated Segmentation of Left Atrium from Interventional 3D Rotational Angiography Using CNN"
  • Huaqi Qiu, Chen Qin, Loic Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert, "Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training"
  • Sofie Tilborghs, Tom Dresselaers, Piet Claus, Jan Bogaert, Frederik Maes, "3D Left Ventricular Segmentation From 2D Cardiac MR Images Using Spatial Context"
  • Yingyu Yang, Stephane Gillon, Jaume Banus Cobo, Pamela Moceri, Maxime Sermesant, "Non-Invasive Pressure Estimation in Patients with Pulmonary Arterial Hypertension: Data-driven or Model-based?"
  • Agisilaos Chartsias, Georgios Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David Newby, Rohan Dharmakumar, Sotirios Tsaftaris, "Multimodal cardiac segmentation using disentangled representation learning"
  • Gaetan Desrues, Hervé Delingette, Maxime Sermesant, "Towards Hyper-Reduction of Cardiac Models using Poly-Affine Deformation"
  • Julius Ossenberg-Engels, Vicente Grau, "Conditional Generative Adversarial Networks for the prediction of cardiac contraction from individual frames"
  • Peter Lin, Anne Martel, Susan Camilleri, Mihaela Pop, "Co-registered cardiac ex vivo DT images and histological images for fibrosis quantification"
  • 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, "Manufacturing of Ultrasound & MRI Compatible Aortic Valves Using 3D Printing for Analysis & Simulation"
  • Alexandre Legay, Thomas Tiennot, Jean-Francois Gelly, Maxime Sermesant, Jean Bulté, "End-to-end Cardiac Ultrasound Simulation for a Better Understanding of Image Quality"
  • Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil Tenenholtz, Holger Roth, "4D CNN for semantic segmentation of cardiac volumetric sequences"
  • Yimin Luo, Daniel Toth, Kui Jiang, Kuberan Pushparajah, Kawal Rhode, "Ultra-DenseNet for Low-dose X-ray Image Denoising in cardiac catheter-based procedures "
  • Mia Mojica, Mehran Ebrahimi, "Combined Intensity- and Point-Based Cardiac Registration in the Presence of Landmark Errors"
  • Hugh O'Brien, John Whitaker, Baldeep Sidhu, Justin Gould, Tanja Kurzendorfer, Mark O'Neill, Ronak Rajani, Christopher Rinaldi, Kawal Rhode, Peter Mountney, Steven Niederer, "Modality Independent Left Ventricle Scar Classification"

CRT-EPIGGY19 challenge

  • ​Nicolas Cedilnik, Maxime Sermesant, "Electrophysiological Model Personalisation to Porcine in-vivo Data for Paced Activation Prediction"
  • Konstantinos A. Mountris, Esther Pueyo​, "Evaluation of meshless methods for cardiac electrophysiological simulations based on porcine experimental data"
  • Carlos Albors, Eric Lluch, Jordi Mill, Rubén Doste, Oscar Camara, Mathieu De Craene, Hernán Morales​, "Prediction of electrical activation patterns after cardiac resynchronization therapy in porcine hearts with meshless models"
  • Juan Francisco Gomez, Rafa Sebastian, "Prediction of CRT activation sequence by personalization of biventricular model from electroanatomical maps"
  • Svyatoslav Khamzin, Arsenii Dokuchaev, Olga Solovyova, "Optimization of CRT therapy device based on personalized computer model"

Multi-sequence Cardiac MR Segmentation challenge

  • ​Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert​, "Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation"
  • Vicotr Manuel Campello, Carlos Martin-Isla, Cristian Izquierdo Morcillo, Miguel Angel Gonzalez Ballester, Karim Lekadir​, "Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Enhanced Cardiac MRI"
  • Jiexiang Wang, Hongyu Huang, Chaoqi Chenm Wenao Ma, Yue Huang, Xinghao Ding​, "Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network"
  • Xiyue Wang, Sen Yang, Mingxuan Tang, Yunpeng Wei, Xiao Han, Ling He, Jing Zhang​, "SK-Unet: an Improved U-net Model with Selective Kernel for the Segmentation of Multi-sequence Cardiac MR"
  • Sulaiman Vesal, Nishant Ravikumar, Andreas Maier​, "Automated Multi-sequence Cardiac MRI Segmentation Using Domain Adaptation"
  • Holger Roth, Wentan Zhu, Dong Yang, Ziyue Xu, Daguang Xu​, "Cardiac Segmentation of LGE MRI with Noisy Labels"
  • Yashu Liu, Kuanquan Wang, Gongning Luo, Chengqin Y​, "An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image"
  • Rencheng Zheng, Xingzhong Zhao​, "Deep learning based multi-model cardiac MR image segmentation"
  • Xumin Tao, Hongrong Wei, Wufeng Xue, Dong Ni​, "Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN"
  • Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern Menze​, "Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation"
  • Tao Liu, Yun Tian, Shifeng Zhao, Xiaoying Huang, Qingjun Wang​, "Pseudo-3D Network for Multi-sequence Cardiac MR Segmentation"
  • Haohao Xu, Zhuangwei Xu, Wenting Gu, Qi Zhang​, "A Two-Stage Fully Automatic Segmentation Scheme Using Both 2D and 3D U-Net for Multi-Sequence Cardiac MR"
  • Jinchang Ren, He Sun, Yumin Huang, Hao Gao​, "Knowledge-based multi-sequence MR segmentation via deep learning with a hybrid U-Net++ model"
  • Buntheng LY, Hubert Cochet, Maxime Sermesant​, "Style Data Augmentation for Robust Segmentation of Multi-Modality Cardiac MRI"