Key dates

  • 30 June
  • Abstract submission
  • 23 July
  • Regular paper submission
  • 6 Aug
  • Notification
  • 1 Oct
  • Workshop-ready
  • 12 Oct
  • STACOM Workshop
  • 12 Nov
  • Proceeding-ready

Accepted Papers

Regular papers

  1. 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

  2. Deep Conditional Shape Models for 3D cardiac image segmentation
    Athira Jacob, Puneet Sharma, Daniel Ruckert

  3. 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

  4. Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI
    Xinqi Li, Yi Zhang, Yidong Zhao, Jan van Gemert, Qian Tao

  5. Impact of catheter orientation on cardiac radiofrequency ablation
    Massimiliano Leoni, Argyrios Petras, Zoraida Moreno Weidmann, Jose M Guerra, Luca Gerardo Giorda

  6. 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

  7. Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network
    Haorui He, Abhirup Banerjee, Robin Choudhury, Vicente Grau

  8. 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

  9. NRSR-Net: Noise Reduction and Super Resolution Reconstruction for Low-dose CT Guided By Gradient
    Ying Xu

  10. Sparse annotation strategies for segmentation of short axis cardiac MRI
    Josh Stein, Maxime Di Folco, Julia A. Schnabel

  11. 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

  12. Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net
    Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Vicente Grau, Min Chen

  13. 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

  14. Type and Shape Disentangled Generative Modeling for Congenital Heart Defects
    Fanwei Kong, Alison Marsden

  15. Automatic Landing Zone Plane Detection in Contrast-Enhanced Cardiac CT Volumes
    Lisette Lockhart, Alborz ir-Khalili, Xin Yi, Alexandra Nunn, Nathan Cassady, Cory Swingen

  16. Customizing Pre-Training Volumetric Transformers with Scaling Pyramid for 3D Cardiac Segmentation
    Zhiyu Ye, Hairong Zheng, Tong Zhang

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. A Benchmarking Study of Deep Learning Approaches for Bi-atrial Segmentation on Late Gadolinium-Enhanced MRIs
    Yongyao Tan, Fan Feng, Jichao Zhao

  23. 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

  24. 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

  25. 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

  1. ReconNext:A Encoder-Decoder Skip Cross Attention based approach to reconstruct Cardiac MRI
    Ruiyi Li, Hanyuan Zheng and Rongjun Ge

  2. DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models
    Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li

  3. T1 and T2 mapping reconstruction based on conditional DDPM
    Yansong Li, Lulu Zhao, Yun Tian, and Shifeng Zhao

  4. 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

  5. Accelerating Cardiac MRI via Deblurring without Sensitivity Estimation
    Jin He, Weizhou Liu, Yun Tian, Shifeng Zhao

  6. NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps
    Felix Frederik Zimmermann; Andreas Kofler

  7. 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

  8. 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

  9. Learnable Objective Image Function for Accelerated MRI Reconstruction
    Artem Razumov and Dmitry V. Dylov

  10. Multi-Scale Inter-Frame Information Fusion Based Network for Cardiac MRI Reconstruction
    Wenzhe Ding, Xiaohan Liu, Yong Sun, Yiming Liu and Yanwei Pang*

  11. A Context-Encoders-based Generative Adversarial Networks for Cine Magnetic Resonance Imaging Reconstruction
    Weihua Zhang, Mengshi Tang, Liqin Huang, Wei Li

  12. Accelerated Cardiac Parametric Mapping using Deep Learning-Refined Subspace Models
    Calder Sheagren, Brenden Kadota, Jaykumar Patel, Mark Chiew, and Graham Wright

  13. 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

  14. Deep Cardiac MRI Reconstruction with ADMM
    George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen

  15. Temporal Super-Resolution for Fast T1 Mapping
    Xunkang Zhao, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin

  16. Multi-level Temporal Information Sharing Transformer-based Feature Reuse Network for Cardiac MRI Reconstruction
    Guangming Wang, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin

  17. Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction
    Yidong Zhao; Yi Zhang; Qian Tao

  18. k-t CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction
    Liping Zhang, Weitian Chen

  19. Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement
    Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotiorios A. Tsaftaris

  20. CineJENSE: Simultaneous Cine MRI Image
    Ziad Al-Haj Hemidi, Nora Vogt, Lucile Quillien, Christian Weihsbach, Mattias P. Heinrich, Julien Oster

  21. 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