Table of Contents

• CardiacSeg: Customized Pre-training Volumetric Transformer with Scaling Pyramid for 3D Cardiac SegmentationZhiYu Ye, Hairong Zheng, Tong Zhang 0017. 3-14 [doi]
• Voxel2Hemodynamics: An End-to-End Deep Learning Method for Predicting Coronary Artery HemodynamicsZiyu Ni, Linda Wei, Lijian Xu, Qing Xia 0002, Hongsheng Li, Shaoting Zhang 0001, Dimitris N. Metaxas. 15-24 [doi]
• Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular CardiomyopathyLaura Alvarez-Florez, Jörg Sander 0003, Mimount Bourfiss, Fleur V. Y. Tjong, Birgitta K. Velthuis, Ivana Isgum. 25-34 [doi]
• Patient Stratification Based on Fast Simulation of Cardiac Electrophysiology on Digital TwinsDolors Serra, Pau Romero, Miguel Lozano, Ignacio García-Fernández, Diego Penela, Antonio Berruezo, Oscar Camara 0001, Miguel Rodrigo, Miriam Gil, Rafael Sebastián. 35-43 [doi]
• Deep Conditional Shape Models for 3D Cardiac Image SegmentationAthira J. Jacob, Puneet Sharma, Daniel Ruckert. 44-54 [doi]
• Global Sensitivity Analysis of Thrombus Formation in the Left Atrial Appendage of Atrial Fibrillation PatientsZineb Smine, Paolo Melidoro, Ahmed Qureshi, Stefano Longobardi, Steven E. Williams, Oleg V. Aslanidi, Adelaide de Vecchi. 55-65 [doi]
• Sparse Annotation Strategies for Segmentation of Short Axis Cardiac MRIJosh Stein, Maxime Di Folco, Julia A. Schnabel. 66-76 [doi]
• Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRIXinqi Li, Yi Zhang, Yidong Zhao, Jan van Gemert, Qian Tao. 77-87 [doi]
• FM-Net: A Fully Automatic Deep Learning Pipeline for Epicardial Adipose Tissue SegmentationFan Feng, Carl-Johan Carlhäll, Yongyao Tan, Shaleka Agrawal, Peter Lundberg, Jieyun Bai, John Zhiyong Yang, Mark Trew, Jichao Zhao. 88-97 [doi]
• Automated Quality-Controlled Left Heart Segmentation from 2D EchocardiographyBram W. M. Geven, Debbie Zhao, Stephen A. Creamer, Joshua R. Dillon, Gina M. Quill, Nicola C. Edwards, Malcolm E. Legget, Robert N. Doughty, Alistair A. Young, Thiranja P. Babarenda Gamage, Martyn P. Nash. 98-107 [doi]
• Impact of Hypertension on Left Ventricular Pressure-Strain Loop Characteristics and Myocardial WorkStephen A. Creamer, Debbie Zhao, Gina M. Quill, Abdallah I. Hasaballa, Vicky Y. Wang, Thiranja P. Babarenda Gamage, Nicola C. Edwards, Malcolm E. Legget, Boris S. Lowe, Robert N. Doughty, Satpal S. Arri, Peter N. Ruygrok, Alistair A. Young, Julian F. R. Paton, Gonzalo D. Maso Talou, Martyn P. Nash. 108-118 [doi]
• Automated Segmentation of the Right Ventricle from 3D Echocardiography Using Labels from Cardiac Magnetic Resonance ImagingJoshua R. Dillon, Debbie Zhao, Thiranja P. Babarenda Gamage, Gina M. Quill, Vicky Y. Wang, Nicola C. Edwards, Timothy M. Sutton, Boris S. Lowe, Malcolm E. Legget, Robert N. Doughty, Alistair A. Young, Martyn P. Nash. 119-129 [doi]
• Neural Implicit Functions for 3D Shape Reconstruction from Standard Cardiovascular Magnetic Resonance ViewsMarica Muffoletto, Hao Xu, Yiyang Xu, Steven E. Williams, Michelle C. Williams, Karl P. Kunze, Radhouène Neji, Steven A. Niederer, Daniel Rueckert, Alistair A. Young. 130-139 [doi]
• Deep Learning-Based Pulmonary Artery Surface Mesh GenerationNina Krüger 0002, Jan Brüning, Leonid Goubergrits, Matthias Ivantsits, Lars Walczak, Volkmar Falk, Henryk Dreger, Titus Kühne, Anja Hennemuth. 140-151 [doi]
• Impact of Catheter Orientation on Cardiac Radiofrequency AblationMassimiliano Leoni, Argyrios Petras, Zoraida Moreno Weidmann, José Manuel Guerra, Luca Gerardo-Giorda. 152-162 [doi]
• Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-NetJiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau. 163-173 [doi]
• Effects of Fibrotic Border Zone on Drivers for Atrial Fibrillation: An In-Silico Mechanistic InvestigationShaheim Ogbomo-Harmitt, George Obada, Nele Vandersickel, Andrew P. King, Oleg V. Aslanidi. 174-185 [doi]
• Exploring the Relationship Between Pulmonary Artery Shape and Pressure in Pulmonary Hypertension: A Statistical Shape Analysis StudyMalak Sabry, Uxio Hermida, Ahmed Hassan, Michael Nagy, David Stojanovski, Irini Samuel, John Locas, Magdi H. Yacoub, Adelaide de Vecchi, Pablo Lamata. 186-195 [doi]
• Type and Shape Disentangled Generative Modeling for Congenital Heart DefectsFanwei Kong, Alison L. Marsden. 196-208 [doi]
• Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention NetworkHaorui He, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau. 209-219 [doi]
• Inherent Atrial Fibrillation Vulnerability in the Appendages Exacerbated in Heart FailureShaleka Agrawal, Joseph Ashby, Jeiyun Bai, Fan Feng, Xue Cai, Joseph Yanni, Caroline B. Jones, Sunil Jit Logantha, Akbar Vohra, Robert C. Hutcheon, Antonio F. Corno, Halina Dobrzynski, Robert S. Stephenson, Mark R. Boyett, George Hart, Jonathan C. Jarvis, Bruce H. Smaill, Jichao Zhao. 220-229 [doi]
• Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI ImagesK. M. Arefeen Sultan, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward V. R. Di Bella, Shireen Y. Elhabian. 230-239 [doi]
• Automatic Landing Zone Plane Detection in Contrast-Enhanced Cardiac CT VolumesLisette Lockhart, Xin Yi, Nathan Cassady, Alexandra Nunn, Cory Swingen, Alborz Amir-Khalili. 240-249 [doi]
• A Benchmarking Study of Deep Learning Approaches for Bi-Atrial Segmentation on Late Gadolinium-Enhanced MRIsYongyao Tan, Fan Feng, Jichao Zhao. 250-258 [doi]
• Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI ReconstructionBingyu Xin, Meng Ye 0003, Leon Axel, Dimitris N. Metaxas. 261-273 [doi]
• Learnable Objective Image Function for Accelerated MRI ReconstructionArtem Razumov, Dmitry V. Dylov. 274-282 [doi]
• Accelerating Cardiac MRI via Deblurring Without Sensitivity EstimationJin He, Weizhou Liu, Yun Tian, Shifeng Zhao. 283-292 [doi]
• T1/T2 Relaxation Temporal Modelling from Accelerated Acquisitions Using a Latent TransformerMichael Tänzer, Fanwen Wang, Mengyun Qiao, Wenjia Bai, Daniel Rueckert, Guang Yang 0006, Sonia Nielles-Vallespin. 293-302 [doi]
• T1 and T2 Mapping Reconstruction Based on Conditional DDPMYansong Li, Lulu Zhao, Yun Tian, Shifeng Zhao. 303-313 [doi]
• k-t CLAIR: Self-consistency Guided Multi-prior Learning for Dynamic Parallel MR Image ReconstructionLiping Zhang, Weitian Chen. 314-325 [doi]
• Cardiac MRI Reconstruction from Undersampled K-Space Using Double-Stream IFFT and a Denoising GNA-UNET PipelineJulia Dietlmeier, Carles García-Cabrera, Anam Hashmi, Kathleen M. Curran, Noel E. O'Connor. 326-338 [doi]
• Multi-scale Inter-frame Information Fusion Based Network for Cardiac MRI ReconstructionWenzhe Ding, Xiaohan Liu, Yong Sun, Yiming Liu, Yanwei Pang. 339-348 [doi]
• Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image ReconstructionYidong Zhao, Yi Zhang, Qian Tao. 349-358 [doi]
• A Context-Encoders-Based Generative Adversarial Networks for Cine Magnetic Resonance Imaging ReconstructionWeihua Zhang, Mengshi Tang, Liqin Huang, Wei Li. 359-368 [doi]
• Accelerated Cardiac Parametric Mapping Using Deep Learning-Refined Subspace ModelsCalder D. Sheagren, Brenden T. Kadota, Jaykumar H. Patel, Mark Chiew, Graham A. Wright. 369-379 [doi]
• DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsTianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li 0001. 380-389 [doi]
• 3-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR ImagesQuan Dou, Kang Yan, Sheng Chen, Zhixing Wang, Xue Feng 0001, Craig H. Meyer. 390-399 [doi]
• Space-Time Deformable Attention Parallel Imaging Reconstruction for Highly Accelerated Cardiac MRILifeng Mei, Kexin Yang, Yi Li, Shoujin Huang, Yilong Liu, Mengye Lyu. 400-409 [doi]
• Multi-level Temporal Information Sharing Transformer-Based Feature Reuse Network for Cardiac MRI ReconstructionGuangming Wang, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin 0001. 410-420 [doi]
• Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with RefinementYuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris. 421-432 [doi]
• ReconNext: A Encoder-Decoder Skip Cross Attention Based Approach to Reconstruct Cardiac MRIRuiyi Li, Hanyuan Zheng, Weiya Sun, Rongjun Ge. 433-442 [doi]
• Temporal Super-Resolution for Fast T1 MappingXunkang Zhao, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin 0001. 443-453 [doi]
• NoSENSE: Learned Unrolled Cardiac MRI Reconstruction Without Explicit Sensitivity MapsFelix Frederik Zimmermann, Andreas Kofler. 454-466 [doi]
• CineJENSE: Simultaneous Cine MRI Image Reconstruction and Sensitivity Map Estimation Using Neural RepresentationsZiad Al-Haj Hemidi, Nora Vogt, Lucile Quillien, Christian Weihsbach, Mattias P. Heinrich, Julien Oster. 467-478 [doi]
• Deep Cardiac MRI Reconstruction with ADMMGeorge Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen. 479-490 [doi]