Accepted Papers
Regular papers
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Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy
Laura Alvarez Florez, Jörg Sander, Mimount Bourfiss, Fleur V. Y. Tjong, Birgitta K. Velthuis, Ivana Išgum -
Deep Conditional Shape Models for 3D cardiac image segmentation
Athira Jacob, Puneet Sharma, Daniel Ruckert -
Global Sensitivity Analysis of Thrombus Formation in the Left Atrial Appendage of Atrial Fibrillation Patients
Zineb Smine, Paolo Melidoro, Ahmed Qureshi, Stefano Longobardi,Steven Williams, Oleg Aslanidi, Adelaide De Vecchi -
Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI
Xinqi Li, Yi Zhang, Yidong Zhao, Jan van Gemert, Qian Tao -
Impact of catheter orientation on cardiac radiofrequency ablation
Massimiliano Leoni, Argyrios Petras, Zoraida Moreno Weidmann, Jose M Guerra, Luca Gerardo Giorda -
Effects of Fibrotic Border Zone on Drivers for Atrial Fibrillation: An In-Silico Mechanistic Investigation
Shaheim Ogbomo-Harmitt, George Obada, Nele Vandersickel, Andy King, Oleg Aslanidi -
Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network
Haorui He, Abhirup Banerjee, Robin Choudhury, Vicente Grau -
Inherent Atrial Fibrillation Vulnerability in the Appendages Exacerbated in Heart Failure
Shaleka Agrawal, Joseph Ashby, Jieyun Bai, Fan Feng, Xue Cai, Joseph Yanni, Sunil J.R.J. Logantha, Akbar Vohra, Antonio F. Corno, Caroline Jones, Robert C. Hutcheon, Halina Dobrzynski, Robert S. Stephenson, Mark Boyett, George Hart, Jonathan Jarvis, Bruce Smaill, Jichao Zhao -
Sparse annotation strategies for segmentation of short axis cardiac MRI
Josh Stein, Maxime Di Folco, Julia A. Schnabel -
Deep Learning-based Pulmonary Artery Surface Mesh Generation
Nina Krüger, Jan Brüning, Leonid Goubergrits, Matthias Ivantsits, Lars Walczak, Volkmar Falk, Henryk Dreger, Titus Kühne, Anja Hennemuth -
Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net
Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Vicente Grau, Min Chen -
Exploring the relationship between pulmonary artery shape and pressure in Pulmonary Hypertension: A statistical shape analysis study
Malak Sabry, Uxio Hermida, Ahmed Hassan, Michael Nagy, David Stojanovski, Irini Samuel, John Locas, Magdi H. Yacoub, Adelaide De Vecchi, Pablo Lamata -
Type and Shape Disentangled Generative Modeling for Congenital Heart Defects
Fanwei Kong, Alison Marsden -
Automatic Landing Zone Plane Detection in Contrast-Enhanced Cardiac CT Volumes
Lisette Lockhart, Alborz ir-Khalili, Xin Yi, Alexandra Nunn, Nathan Cassady, Cory Swingen -
Customizing Pre-Training Volumetric Transformers with Scaling Pyramid for 3D Cardiac Segmentation
Zhiyu Ye, Hairong Zheng, Tong Zhang -
Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics
Ziyu Ni, Linda Wei, Lijian Xu, Hongsheng Li, Shaoting Zhang, Dimitris Metaxas -
Automated quality-controlled left heart segmentation from 2D echocardiography
Bram Geven, Debbie Zhao, Stephen Creamer, Joshua Dillon, Gina Quill, Nicola Edwards, Malcolm Legget, Robert Doughty, Alistair Young, Thiranja P. Babarenda Gamage, Martyn Nash -
Automated segmentation of the right ventricle from 3D echocardiography using labels from cardiac magnetic resonance imaging
Joshua Dillon, Debbie Zhao, Thiranja Prasad Babarenda Gamage, Gina Quill, Vicky Wang, Nicola Edwards, Timothy Sutton, Boris Lowe, Malcolm Legget, Robert Doughty, Alistair Young, Martyn Nash -
Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images
K M Arefeen Sultan, Benjamin Anders Orkild, Alan Morris, Eugene Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward DiBella, Shireen Elhabian -
Neural Implicit Functions for 3D Shape Reconstruction from standard Cardiovascular Magnetic Resonance views
Marica Muffoletto, Hao Xu, Yiyang Xu, Steven Williams, Michelle C. Williams, Karl Kunze, Radhouene Neji, Steven Niederer, Daniel Rueckert, Alistair Young -
A Benchmarking Study of Deep Learning Approaches for Bi-atrial Segmentation on Late Gadolinium-Enhanced MRIs
Yongyao Tan, Fan Feng, Jichao Zhao -
Patient Stratification Based on Fast Simulation of Cardiac Electrophysiology on Digital Twins
Dolors Serra, Pau Romero, Miguel Lozano, Ignacio Garcia-Fernandez, Diego Penela, Antonio Berruezo, Oscar Camara, Rafael Sebastian, Miguel Rodrigo -
FM-Net: A Fully Automatic Deep Learning Pipeline for Epicardial Adipose Tissue Segmentation
Fan Feng, Carl-Johan Carlhäll, Yongyao Tan, Shaleka Agrawal, Peter Lundberg, Jieyun Bai, John Zhiyong Yang, Mark Trew, Jichao Zhao -
Impact of hypertension on left ventricular pressure-strain loop characteristics and myocardial work
Stephen Creamer, Debbie Zhao, Gina Quill, Abdallah Hasaballa, Vicky Wang, Thiranja Babarenda Gamage, Nicola Edwards, Malcolm Legget, Boris Lowe, Robert Doughty, Satpal Arri, Peter Ruygrok, Alistair Young, Julian Paton, Gonzalo Maso Talou, Martyn Nash
CMRxRecon challenge papers
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ReconNext:A Encoder-Decoder Skip Cross Attention based approach to reconstruct Cardiac MRI
Ruiyi Li, Hanyuan Zheng and Rongjun Ge -
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models
Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li -
T1 and T2 mapping reconstruction based on conditional DDPM
Yansong Li, Lulu Zhao, Yun Tian, and Shifeng Zhao -
C3-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR Images
Quan Dou, Kang Yan, Sheng Chen, Zhixing Wang, Xue Feng, Craig H. Meyer -
Accelerating Cardiac MRI via Deblurring without Sensitivity Estimation
Jin He, Weizhou Liu, Yun Tian, Shifeng Zhao -
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps
Felix Frederik Zimmermann; Andreas Kofler -
T1/T2 relaxation temporal modelling from accelerated acquisitions using a Latent Transformer
Michael Tänzer, Fanwen Wang, Mengyun Qiao, Wenjia Bai, Daniel Rueckert, Guang Yang, Sonia Nielles-Vallespin -
Space-Time Deformable Attention Parallel Imaging Reconstruction for Highly Accelerated Cardiac MRI
Lifeng Mei, Kexin Yang, Yi Li, Shoujin Huang, Yilong Liu, and Mengye Lyu -
Learnable Objective Image Function for Accelerated MRI Reconstruction
Artem Razumov and Dmitry V. Dylov -
Multi-Scale Inter-Frame Information Fusion Based Network for Cardiac MRI Reconstruction
Wenzhe Ding, Xiaohan Liu, Yong Sun, Yiming Liu and Yanwei Pang* -
A Context-Encoders-based Generative Adversarial Networks for Cine Magnetic Resonance Imaging Reconstruction
Weihua Zhang, Mengshi Tang, Liqin Huang, Wei Li -
Accelerated Cardiac Parametric Mapping using Deep Learning-Refined Subspace Models
Calder Sheagren, Brenden Kadota, Jaykumar Patel, Mark Chiew, and Graham Wright -
Fill the K-Space and Refine the Image:Prompting for Dynamic and Multi-Contrast MRI Reconstruction
Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas -
Deep Cardiac MRI Reconstruction with ADMM
George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen -
Temporal Super-Resolution for Fast T1 Mapping
Xunkang Zhao, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin -
Multi-level Temporal Information Sharing Transformer-based Feature Reuse Network for Cardiac MRI Reconstruction
Guangming Wang, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin -
Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction
Yidong Zhao; Yi Zhang; Qian Tao -
k-t CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction
Liping Zhang, Weitian Chen -
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement
Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotiorios A. Tsaftaris -
CineJENSE: Simultaneous Cine MRI Image
Ziad Al-Haj Hemidi, Nora Vogt, Lucile Quillien, Christian Weihsbach, Mattias P. Heinrich, Julien Oster -
Cardiac MRI reconstruction from undersampled k-space using double-stream IFFT and a denoising GNA-UNET pipeline
Julia Dietlmeier, Carles Garcia-Cabrera, Anam Hashmi, Kathleen M. Curran, Noel E. O’Connor