M&Ms and EMIDEC/STACOM@MICCAI

Keyphrases

Publications

volume 12592, 2021

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers M&Ms and EMIDEC/STACOM@MICCAI 12592 (2021)

2020

Xiaoqiong Huang, Zejian Chen, Xin Yang, Zhendong Liu, Yuxin Zou, Mingyuan Luo, Wufeng Xue, Dong Ni
Style-Invariant Cardiac Image Segmentation with Test-Time Augmentation. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein
Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Ana Lourenço, Eric Kerfoot, Connor Dibblin, Ebraham Alskaf, Mustafa Anjari, Anil A. Bharath, Andrew P. King, Henry Chubb, Teresa Correia, Marta Varela
Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Marta Nuñez Garcia, Nicolas Cedilnik, Shuman Jia, Maxime Sermesant, Hubert Cochet
Automatic Multiplanar CT Reformatting from Trans-Axial into Left Ventricle Short-Axis View. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Khawla Brahim, Abdul Qayyum, Alain Lalande, Arnaud Boucher, Anis Sakly, Fabrice Mériaudeau
Efficient 3D Deep Learning for Myocardial Diseases Segmentation. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Firas Khader, Justus Schock, Daniel Truhn, Fabian Morsbach, Christoph Haarburger
Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Axel Aguerreberry, Ezequiel de la Rosa, Alain Lalande, Elmer Fernandez
Segmentation-Free Estimation of Aortic Diameters from MRI Using Deep Learning. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Sofie Tilborghs, Tom Dresselaers, Piet Claus, Jan Bogaert, Frederik Maes
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Sen Yang, Xiyue Wang
A Hybrid Network for Automatic Myocardial Infarction Segmentation in Delayed Enhancement-MRI. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Markus Hüllebrand, Matthias Ivantsits, Hannu Zhang, Peter Kohlmann, Jan-Martin Kuhnigk, Titus Kühne, Stefan O. Schönberg, Anja Hennemuth
Comparison of a Hybrid Mixture Model and a CNN for the Segmentation of Myocardial Pathologies in Delayed Enhancement MRI. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Xue Feng, Christopher M. Kramer, Michael Salerno, Craig H. Meyer
Automatic Scar Segmentation from DE-MRI Using 2D Dilated UNet with Rotation-Based Augmentation. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Xabier Morales, Jordi Mill, Gaspar Delso, Filip Loncaric, Ada Doltra, Xavier Freixa, Marta Sitges, Bart H. Bijnens, Oscar Camara
4D Flow Magnetic Resonance Imaging for Left Atrial Haemodynamic Characterization and Model Calibration. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Kibrom Berihu Girum, Youssef Skandarani, Raabid Hussain, Alexis Bozorg Grayeli, Gilles Créhange, Alain Lalande
Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI Using Deep Convolutional Networks. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King
Quality-Aware Semi-supervised Learning for CMR Segmentation. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Jun Ma
Histogram Matching Augmentation for Domain Adaptation with Application to Multi-centre, Multi-vendor and Multi-disease Cardiac Image Segmentation. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Fanwei Kong, Shawn C. Shadden
A Generalizable Deep-Learning Approach for Cardiac Magnetic Resonance Image Segmentation Using Image Augmentation and Attention U-Net. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris
Disentangled Representations for Domain-Generalized Cardiac Segmentation. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Marta Nuñez Garcia, Nicolas Cedilnik, Shuman Jia, Hubert Cochet, Marco Lorenzi, Maxime Sermesant
Estimation of Imaging Biomarker's Progression in Post-infarct Patients Using Cross-sectional Data. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Ana Lourenço, Eric Kerfoot, Irina Grigorescu, Cian M. Scannell, Marta Varela, Teresa Correia
Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Qiaoying Huang, Eric Z. Chen, Hanchao Yu, Yimo Guo, Terrence Chen, Dimitris N. Metaxas, Shanhui Sun
Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King
A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Judit Ros, Oscar Camara, Uxio Hermida, Bart H. Bijnens, Hernán G. Morales
Towards Mesh-Free Patient-Specific Mitral Valve Modeling. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Robin Camarasa, Alexis Faure, Thomas Crozier, Daniel Bos, Marleen de Bruijne
Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Mia Mojica, Mihaela Pop, Mehran Ebrahimi
Automatic Detection of Landmarks for Fast Cardiac MR Image Registration. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Cian M. Scannell, Amedeo Chiribiri, Mitko Veta
Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Mario Parreño, Roberto Paredes, Alberto Albiol
Deidentifying MRI Data Domain by Iterative Backpropagation. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang
Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Jixi Shi, Zhihao Chen, Raphaël Couturier
Classification of Pathological Cases of Myocardial Infarction Using Convolutional Neural Network and Random Forest. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Mina Saber, Dina Abdelrauof, Mustafa Elattar
Multi-center, Multi-vendor, and Multi-disease Cardiac Image Segmentation Using Scale-Independent Multi-gate UNET. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Jorge Corral Acero, Vaanathi Sundaresan, Nicola K. Dinsdale, Vicente Grau, Mark Jenkinson
A 2-Step Deep Learning Method with Domain Adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble
Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Eric Kerfoot, Carlos Escudero King, Tefvik Ismail, David Nordsletten, Renee M. Miller
Estimation of Cardiac Valve Annuli Motion with Deep Learning. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Matthias Ivantsits, Markus Hüllebrand, Sebastian Kelle, Stefan O. Schönberg, Titus Kühne, Anja Hennemuth
Deep-Learning-Based Myocardial Pathology Detection. M&Ms and EMIDEC/STACOM@MICCAI (2020)
César Acebes, Xabier Morales, Oscar Camara
A Cartesian Grid Representation of Left Atrial Appendages for a Deep Learning Estimation of Thrombogenic Risk Predictors. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Adam Carscadden, Michelle Noga, Kumaradevan Punithakumar
A Deep Convolutional Neural Network Approach for the Segmentation of Cardiac Structures from MRI Sequences. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Yuncheng Zhou, Ke Zhang, Xinzhe Luo, Sihan Wang, Xiahai Zhuang
Anatomy Prior Based U-net for Pathology Segmentation with Attention. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Hongwei Li, Jianguo Zhang, Bjoern H. Menze
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Yichi Zhang
Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Felix Meister, Tiziano Passerini, Chloé Audigier, Èric Lluch, Viorel Mihalef, Hiroshi Ashikaga, Andreas Maier, Henry R. Halperin, Tommaso Mansi
Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Thomas Grandits, Simone Pezzuto, Jolijn M. Lubrecht, Thomas Pock, Gernot Plank, Rolf Krause
PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Rishabh Sharma, Christoph F. Eick, Nikolaos V. Tsekos
SM2N2: A Stacked Architecture for Multimodal Data and Its Application to Myocardial Infarction Detection. M&Ms and EMIDEC/STACOM@MICCAI (2020)