Accepted Papers

Regular papers

  1. Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI
    Viti, Thaler, Kapper, Urschler, Holler, Karabelas

  2. Comparing Left Atrial Spontaneous Echo Contrast Intensity with Gaussian Process Emulator Predictions
    Melidoro, Sabry, Sultan, Qureshi, Rajani, Lahoti, Klis, Montarello, Lip, Williams, Aslanidi, De Vecchi

  3. Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation
    Rygiel, Alblas, Brune, Yeung, Wolterink

  4. Rotor Core Projection Ablation (RCPA): Novel Computational Approach to Catheter Ablation Therapy for Atrial Fibrillation
    Obada, Ogbomo-Harmitt, Vandersickel, Van den Abeele, Hendrickx, Aslanidi

  5. ResNet-based Convolutional Framework for Segmenting Left Atrial Scars and Cavities
    Gunawardhana, Xu, Gu, Zhao

  6. EAT-Mamba: Epicardial Adipose Tissue Segmentation from Multi-modal Dixon MRI
    Feng, Hasaballa, Xu, Yang, Gu, Wen, Carlhäll, Zhao

  7. Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging
    Garzia, Rygiel, Dummer, Wolterink, Celi

  8. Peridevice leaks following left atrium appendage occlusion - analysis with morphology descriptive centerlines and explainable graph attention network
    López Diez, Margeta, Gómez Herrero, Lulic, Willemen, Kofoed, De Backer, Paulsen

  9. Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Cardiac Cycle
    Lowes, Pedersen, Hansen, Kofoed, Sermesant, Paulsen

  10. Reducing the number of leads for ECG Imaging with Graph Neural Networks and meaningful latent space
    Verardo, Perez, Bruchfeld, Boman, Chiesa, Koch, Maguire, Kostic

  11. Automated pipeline for regional epicardial adipose tissue distribution analysis in the atria
    Lluch, Castañeda, Vizitiu, Jacob, Jami, Audigier, Meister, Mihalef, Passerini

  12. Can Interpretable Learning of Risk Explain Ventricular Arrhythmia Mechanism?
    Ly, Finsterbach, Nuñez-Garcia, Cochet, Sermesant

  13. 3D Left Ventricular Reconstruction from 2D Echocardiograms for Reliable Volume Estimation
    Jansen, Zhao, Ferdian, Creamer, Dillon, Verlyck, Quill, Poppe, Edwards, Legget, Doughty, Young, Nash

  14. Improved 3D Whole Heart Geometry from Sparse CMR Slices
    Xu, Xu, Sinclair , Puyol-Anton, Niederer, Chiribiri, Williams, Williams, Young

  15. A novel MRI-based electrophysiological computational model of progressive doxorubicin-induced fibrosis in the left ventricle
    Villar-Valero, Rodríguez Padilla, LY, Trenor, Sermesant, Pop

  16. Comparative study of blood flow dynamics in AF Patients: CFD Simulations vs. 4D Flow MRI pre- and post-LAAO
    Casademunt, Morales, Cepas-Guillén, Doltra, Mill, Saiz-Vivó, Flores-Umanzor, Sanchis, Freixa, Camara

  17. Panoramic anatomical context in 3D intracardiac echocardiography (ICE) with 3D registration and geometry-based image fusion
    Hickler, Neary-Zajiczek, Bandaru, Balle Sánchez, Hennersperger, Wörz

  18. Automated estimation of cardiac stroke volumes from computed tomography
    Radutoiu, Youssef, López Diez, Lindeskog, Pham, Pedersen, Fuchs, Kofoed, Paulsen, Sørensen

  19. EigenBoundaries for the temporally regularized segmentation of echocardiographic images
    Tziritas

  20. Improving the Scan-rescan Precision of AI-based CMR Biomarker Estimation
    Wickremasinghe, XU, Puyol-Anton, Aljabar, Razavi, King

  21. Coronary Artery Calcium Scoring from Non-Contrast Cardiac CT Using Deep Learning With External Validation
    Mo, Bos, Kavousi, Leening, Bron

  22. Classification of Mitral Regurgitation from Cardiac Cine MRI using Clinically-Interpretable Morphological Features
    On, Vimalesvaran, Zaman, Cole, Linton, Shun-Shin, Bharath, Howard, Varela

  23. Physics-Informed Neural Networks can accurately model cardiac electrophysiology in 3D geometries and fibrillatory conditions
    Chiu, Roy, Gupta, Levy, Galazis, Christensen, Mandic, Varela, Cechnicka, Cechnicka

  24. Beyond the standards: Fully-Automated Aortic Annulus Segmentation on Contrast-free Magnetic Resonance Imaging using a Computational Aorta Unwrapping Method
    Almar-Munoz, Pamminger, Kremser, Haltmeier, Mayr

  25. Single-source Domain Generalization for Coronary Vessels Segmentation in X-ray Angiography
    Atwany, Lashgari, Choudhury, Grau, Banerjee

  26. Constraint-Based Model in Multimodal Learning to Improve Arrhythmia Risk Prediction
    Njomgue, LY, Cochet, Sermesant

Multiclass bi-atrial segmentation challenge papers

  1. Effective approach based on student-teacher self-supervised deep learning for Multi-class Bi-Atrial Segmentation Challenge
    Moona Mazher, Abdul Qayyum, Steven A. Niederer

  2. Bidirectional Data Augmentation and Feature Swap for Multi-Class Bi-Atrial Segmentation
    Wenzong Li, Hui Liu, Sifan Miao, Lin Zhang

  3. Exploring CNN and Transformer Architectures for Multi-class Bi-Atrial Segmentation from Late Gadolinium-Enhanced MRI
    Yichi Zhang, Yuan Cheng, and Yuan Qi

  4. CavityBASNet: Cavity-focused Biatrial Automatic Segmentation on LGE-MRI with augmented input channel and left-right myocardium splitting
    Susana Merino-Caviedes, Emmanuel Chibuikem Nnadozie, Elisa Moya-Sáez, Marcos Martín-Fernández, Carlos Alberola-López

  5. A self-distillation bi-atrial segmentation network for Cardiac MRI
    Waqas Anwaar, The van Manh, JiongTong Hu, Zhurong Chen, Wufeng Xue, Dong Ni

  6. BAW-Seg: Attention-based Volumetric Network for Bi-Atrial Segmentation of LGE MRI
    Hui lin, Xi Cheng, Yihao Li, Philippe Zhang

  7. SegBAW-Net: Segmentation of Bi-Atria and Wall Network
    Arthur Lefebvre, Natalia Trayanova

  8. Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-Class Bi-Atrial Segmentation from LGE-MRI nhanced MRIs
    Claas Thesing, Alfonso Bueno-Orovio, Abhirup Banerjee

  9. An Ensemble Method for Multi-class Bi-Atrial Segmentation
    Lucas Beveridge, Le Zhang

  10. Multi-class Bi-Atrial Segmentation Challenge
    Yu Hon On, Christoforos Galazis, Ching-En Chiu, Marta Varela

  11. Residual encoder nnUnet for solving MBAS challenge
    Alexander Zolotarev, Caroline Roney

  12. Multi-Loss 3D Segmentation for Enhanced Bi-Atrial Segmentation
    Enrique Almar-Munoz, Markus Tiefenthaler, Nohemi Sofia Leon-Contreras, and Adria Aguilar-Minguez

Cardiac MRI reconstruction challenge papers

  1. HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss
    Ruru Xu, Ilkay Oksuz, Caner Ozer

  2. Sampling-Pattern-Agnostic MRI Reconstruction through Adaptive Consistency Enforcement with Diffusion Model
    Anurag Malyala, Zhenlin Zhang, Chengyan Wang, Chen Qin

  3. A Multi-Contrast Cardiac MRI Reconstruction Method Using an Advanced Unrolled Network Architecture
    Yajing Zhang, Yanxin Huang, Zhixin Xu, and Jin Qi

  4. Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network
    George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen

  5. Universal Reconstruction Network for Accelerated Cardiac MRI
    Chi Zhang, Michael Loecher, Cagan Alkan, Mahmut Yurt, Shreyas Vasanawala, Daniel Ennis

  6. Model Scaling and Test-Time Adaptation for Accelerated MRI Reconstruction
    Bingyu Xin

  7. Low-Rank Tensor U-Net for Accelerated Cardiac MR Imaging
    Jaykumar Patel, Brenden Kadota, Calder Sheagren, Mark Chiew, Graham Wright

  8. Dynamic Cardiac MRI Reconstruction via Separate Optimization of K-space and Hybrid-domian Spatial-temporal Feature Fusion
    Xinrui Guo, Liwen Li, Fumin Guo

  9. UPCMR: A Universal Prompt-guided Model for Random Sampling Cardiac MRI Reconstruction
    Donghang Lyu, Chinmay Rao, Marius Staring, Matthias van Osch, Mariya Doneva, Hildo Lamb, Nicola Pezzotti

  10. An All-in-one Approach for Accelerated Cardiac MRI Reconstruction
    Kian Anvari, Narges Razizadeh, Mohsen Ebrahimi Moghaddam, Shahabedin Nabavi