Regular Papers
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Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data
Mengyun Qiao, Berke Doga Basaran, Huaqi Qiu, Shuo Wang, Yi Guo, Yuanyuan Wang, Paul M. Matthews, Daniel Rueckert, Wenjia Bai -
Learning correspondences of cardiac motion using biomechanics-informed modeling
Xiaoran Zhang, Chenyu You, Shawn Ahn, Juntang Zhuang, Lawrence Staib, James Duncan -
Multi-modal Latent-space Self-alignment for Super-resolution Cardiac MR Segmentation
Yu Deng, Yang Wen, Linglong Qian, Esther Puyol-Anton, Hao Xu, Kuberan Pushparajah, Zina Ibrahim, Richard Dobson, Alistair Young -
Towards real-time optimization of left atrial appendage occlusion device placement through physics-informed neural networks
Xabier Morales, Carlos Albors Lucas, Jordi Mill, Oscar Camara -
Haemodynamic changes in the fetal circulation after connection to an artificial placenta: a computational modelling study
Maria Inmaculada Villanueva Baxarias, Marc López, Sergio Sánchez, Patricia Garcia-Cañadilla, Paula C. Randanne, Ameth Hawkins, Elisenda Bonet, Elisenda Eixarch, Eduard Gratacós, Fàtima Crispi, Bart Bijnens, Gabriel Bernardino -
Personalized Fast Electrophysiology Simulations to Evaluate Arrhythmogenicity of Ventricular Slow Conduction Channels
Dolors Serra, Paula Franco, Pau Romero, Ignacio Garcia-Fernandez, Miguel Lozano, David Soto-Iglesias, Diego Penela, Antonio Berruezo, Oscar Camara, Rafael Sebastian -
Self-supervised motion descriptor for cardiac phase detection in 4D CMR based on discrete vector field estimations
Sven Koehler, Tarique Hussain, Hamza Hussain, Daniel Young, Samir Sarikouch, Thomas Pickardt, Gerald Greil, Sandy Engelhardt -
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling
Dieuwertje Alblas, Christoph Brune, Kakkhee Yeung, Jelmer Wolterink -
Comparison of Semi- and Un-supervised Domain Adaptation Methods for Whole-Heart Segmentation
Marica Muffoletto, Hao Xu, Hugo Barbaroux, Karl P Kunze, Radhouene Neji, René Botnar, Claudia Prieto, Daniel Rueckert, Alistair Young -
Automated quality controlled analysis of cardiovascular magnetic resonance 2D phase contrast CMR imaging
Emily Chan, Ciaran O’Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal-Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Phil Chowienczyk, Julia Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Anton -
An Atlas-Based Analysis of Biventricular Mechanics in Tetralogy of Fallot
Sachin Govil, Sanjeet Hegde, James C. Perry, Jeffrey H. Omens, Andrew D. McCulloch -
Review of data types and model dimensionality for cardiac DTI SMS-related artefact removal
Michael Tanzer, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin -
Improving Echocardiography Segmentation by Polar Transformation
Zishun Feng, Joseph Sivak, Ashok Krishnamurthy -
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach
Jadie Adams, Shireen Elhabian, Alan Morris, Nawazish Khan -
Interpretable Prediction of Post-Infarct Ventricular Arrhythmia using Graph Convolutional Network
Buntheng LY, Sonny Finsterbach, Marta Nuñez-Garcia, Pierre Jais, Damien Garreau, Hubert Cochet, Maxime Sermesant -
Unsupervised Echocardiography Registration through Patch-based MLPs and Transformers
Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette -
Sensitivity analysis of left atrial wall modeling approaches and inlet/outlet boundary conditions in fluid simulations to predict thrombus formation
Carlos Albors Lucas, Jordi Mill, Henrik Kjeldsberg, David Vilades, Andy Luis Olivares, Kristian Valen-Sendstad, Oscar Camara -
Physics-based deep learning framework to learn and forecast cardiac electrophysiology dynamics
Victoriya Kashtanova, Mihaela Pop, Ibrahim Ayed, Patrick Gallinari, Maxime Sermesant -
Unsupervised machine-learning exploration of morphological and haemodynamic indices to predict thrombus formation at the left atrial appendage
Marta Saiz Vivó, Jordi Mill, Josquin Harrison, Guillermo Jiménez-Perez, Benoit Legghe, Xavier Iriart, Hubert Cochet, Gemma Piella, Maxime Sermesant, Oscar Camara -
Geometrical deep learning for the estimation of residence time in the left atria
Daniel Cañadas Gómez, Xabier Morales, Oscar Camara -
Explainable Electrocardiogram Analysis with Wave Decomposition: Application to Myocardial Infarction Detection
Yingyu Yang, Marie Rocher, Pamela Moceri, Maxime Sermesant -
A systematic study of race and sex bias in CNN-based cardiac MR segmentation
Tiarna Lee, Esther Puyol-Anton, Bram Ruijsink, Miaojing Shi, Andy King -
Mesh U-Nets for 3D Cardiac Deformation Modeling
Marcel Beetz, Jorge Corral Acero, Abhirup Banerjee, Ingo Eitel, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Ruben Evertz, Sören Backhaus, Holger Thiele, Alfonso Bueno-Orovio, Pablo Lamata, Andreas Schuster, Vicente Grau -
Skeletal model-based analysis of the tricuspid valve in hypoplastic left heart syndrome
Jared Vicory, Christian Herz, Ye Han, David Allemang, Maura Flynn, Alana Cianciulli, Hannah Nam, Patricia Sabin, Andras Lasso, Matthew Jolley, Beatriz Paniagua -
Simplifying Disease Staging Models into a Single Anatomical Axis – A Case Study of Aortic Coarctation In-utero
Uxio Hermida, Milou P.M Van Poppel, David Stojanovski, David F.A. Lloyd, Johannes K. Steinweg, Trisha V. Vigneswaran, John M. Simpson, Reza Rezavi, Adelaide De Vecchi, Kuberan Pushparajah, Pablo Lamata -
Point2Mesh-Net: Combining Point Cloud and Mesh-Based Deep Learning for Cardiac Shape Reconstruction
Marcel Beetz, Abhirup Banerjee, Vicente Grau -
Post-Infarction Risk Prediction with Mesh Classification Networks
Marcel Beetz, Jorge Corral Acero, Abhirup Banerjee, Ingo Eitel, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Ruben Evertz, Sören Backhaus, Holger Thiele, Alfonso Bueno-Orovio, Pablo Lamata, Andreas Schuster, Vicente Grau -
Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries
Krithika Iyer, Alan Morris, Brian Zenger, Karthik Karnath, Oleks Korshak, Shireen Elhabian -
Computerized Analysis of the Human Heart to Guide Targeted Treatment of Atrial Fibrillation
Roshan Sharma, Andy Lo, Zhaohan Xiong, Martin Stiles, Mark Trew, Christopher Bradley, Jichao Zhao -
3D Mitral Valve Surface Reconstruction from 3D TEE via Graph Neural Networks
Matthias Ivantsits, Boris Pfahringer, Markus Huellebrand, Lars Walczak, Lennart Tautz, Olena Nemchyna, Serdar Akansel, Jörg Kempfert, Simon Sündermann, Anja Hennemuth -
Efficient MRI Reconstruction with Reinforcement Learning for Automatic Acquisition Stopping
Ruru Xu, Ilkay Oksuz -
Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels
Sihan Wang, Fuping Wu, Lei Li, Zheyao Gao, Byung-Woo Hong, Xiahai Zhuang -
PAT-CNN: Automatic Segmentation and Quantification of Pericardial Adipose Tissue from T2-Weighted Cardiac Magnetic Resonance Images
Zhuoyu Li, Camille Petri, James Howard, Graham Cole, Marta Varela -
Deep Computational Model for the Inference of Ventricular Activation Properties
Lei Li, Julia Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodriguez, Vicente Grau