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ORCIDCMRxRecon/MBAS/STACOM@MICCAI 2024: Marrakesh, Morocco
- Oscar Camara, Esther Puyol-Antón, Maxime Sermesant, Avan Suinesiaputra, Jichao Zhao, Chengyan Wang, Qian Tao, Alistair Young:
Statistical Atlases and Computational Models of the Heart. Workshop, CMRxRecon and MBAS Challenge Papers. - 15th International Workshop, STACOM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Revised Selected Papers. Lecture Notes in Computer Science 15448, Springer 2025, ISBN 978-3-031-87755-1 - Mohammad Z. Atwany
, Mojtaba Lashgari, Robin P. Choudhury, Vicente Grau, Abhirup Banerjee:
Single-Source Domain Generalization for Coronary Vessels Segmentation in X-Ray Angiography. 1-11 - Evariste Njomgue Fotso, Buntheng Ly, Hubert Cochet, Maxime Sermesant:
Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction. 12-21 - Ana-Teodora Radutoiu, Yasmin W. E. Youssef, Paula López Diez, Kristine Aavild Sørensen, Mathias B. Lindeskog, Michael Huy Cuong Pham, Jonas Jalili Pedersen, Andreas Fuchs, Klaus F. Kofoed, Rasmus R. Paulsen:
Automated Estimation of Cardiac Stroke Volumes from Computed Tomography. 22-32 - Paula López Diez, Ján Margeta, Javier Gómez-Herrero, Davorka Lulic, Yannick Willemen, Klaus F. Kofoed, Ole De Backer, Rasmus R. Paulsen:
Peridevice Leaks Following Left Atrial Appendage Occlusion - Analysis with Morphology Descriptive Centerlines and Explainable Graph Attention Network. 33-42 - Yiyang Xu, Hao Xu, Matthew Sinclair, Esther Puyol-Antón, Steven A. Niederer, Amedeo Chiribiri, Steven E. Williams, Michelle C. Williams, Alistair A. Young:
Improved 3D Whole Heart Geometry from Sparse CMR Slices. 43-52 - Susana Merino-Caviedes, Emmanuel C. Nnadozie, Elisa Moya-Sáez, Marcos Martín-Fernández, Carlos Alberola-López:
CavityBASNet: Cavity-Focused Biatrial Automatic Segmentation on LGE-MRI with Augmented Input Channel and Left-Right Myocardium Splitting. 53-63 - Javier Villar-Valero, Jesus Jairo Rodríguez Padilla, Buntheng Ly, Juan F. Gomez, Mihaela Pop, Beatriz Trénor, Maxime Sermesant:
Exploring Chemotherapy-Induced Cardiotoxicity Combining A 3D Computational Model and Preclinical Cardiac Imaging Data. 64-74 - Paula Casademunt, Xabier Morales, Pedro Cepas-Guillén, Ada Doltra, Jordi Mill, Marta Saiz-Vivó, Eduardo Flores-Umanzor, Laura Sanchis, Xavier Freixa, Oscar Camara:
Quantitative Comparison of Blood Flow Patterns from in Silico Simulations and 4D Flow Data Before and After Left Atrial Occlusion. 75-86 - Julia Hickler, Lydia Neary-Zajiczek, Raja Sekhar Bandaru, Marcos Balle Sánchez, Christoph Hennersperger, Stefan Wörz:
Panoramic Anatomical Context in 3D Intracardiac Echocardiography (ICE) with 3D Registration and Geometry-Based Image Fusion. 87-97 - Ching-En Chiu, Aditi Roy, Sarah Cechnicka, Ashvin Gupta, Arieh Levy Pinto, Christoforos Galazis, Kim Christensen, Danilo Mandic, Marta Varela:
Physics-Informed Neural Networks Can Accurately Model Cardiac Electrophysiology in 3D Geometries and Fibrillatory Conditions. 98-109 - Enrique Almar-Munoz, Mathias Pamminger, Christian Kremser, Markus Haltmeier, Agnes Mayr:
Beyond the Standards: Fully-Automated Aortic Annulus Segmentation on Contrast-Free Magnetic Resonance Imaging Using a Computational Aorta Unwrapping Method. 110-121 - Hyunho Mo, Daniel Bos, Maryam Kavousi, Maarten J. G. Leening, Esther E. Bron:
Coronary Artery Calcium Scoring from Non-contrast Cardiac CT Using Deep Learning with External Validation. 122-131 - Moona Mazher, Abdul Qayyum, Steven A. Niederer:
Effective Approach Based on Student-Teacher Self-supervised Deep Learning for Multi-class Bi-atrial Segmentation Challenge. 132-139 - Anurag Malyala, Zhenlin Zhang, Chengyan Wang, Chen Qin:
Sampling-Pattern-Agnostic MRI Reconstruction Through Adaptive Consistency Enforcement with Diffusion Model. 140-151 - Ruru Xu, Caner Özer, Ilkay Öksüz:
HyperCMR: Enhanced Multi-contrast CMR Reconstruction with Eagle Loss. 152-163 - Yajing Zhang, Yanxin Huang, Zhixin Xu, Jin Qi:
A Multi-contrast Cardiac MRI Reconstruction Method Using an Advanced Unrolled Network Architecture. 164-171 - Mathias Micheelsen Lowes, Jonas Jalili Pedersen, Bjørn Schreblowski Hansen, Klaus Fuglsang Kofoed, Maxime Sermesant, Rasmus R. Paulsen:
Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Cardiac Cycle. 172-182 - George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network. 183-192 - Lucas Beveridge, Le Zhang:
Multi-model Ensemble Approach for Accurate Bi-Atrial Segmentation in LGE-MRI of Atrial Fibrillation Patients. 193-199 - Y. On, Christoforos Galazis, Ching-En Chiu, Marta Varela:
Two-Stage nnU-Net for Automatic Multi-class Bi-atrial Segmentation from LGE-MRIs. 200-208 - Alexander M. Zolotarev, Kiane Johnson, Abbas Khan Rayabat Khan, Gregory G. Slabaugh, Caroline H. Roney:
An Ensemble of 3D Residual Encoder UNet Models for Solving Multi-class Bi-atrial Segmentation Challenge. 209-213 - Claas Thesing, Alfonso Bueno-Orovio, Abhirup Banerjee:
Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI. 214-225 - Chi Zhang, Michael Loecher, Cagan Alkan, Mahmut Yurt, Shreyas S. Vasanawala, Daniel B. Ennis:
On the Foundation Model for Cardiac MRI Reconstruction. 226-235 - Enrique Almar-Munoz, Markus Tiefenthaler, Nohemí Sofia León Contreras, Adria Aguilar-Minguez, Christian Kremser, Markus Haltmeier, Agnes Mayr:
Multi-loss 3D Segmentation for Enhanced Bi-atrial Segmentation. 236-244 - Y. On, Kavitha Vimalesvaran, Sameer Zaman, Matthew J. Shun-Shin, James Howard, N. Linton, Graham Cole, Anil A. Bharath, Marta Varela:
Classification of Mitral Regurgitation from Cardiac Cine MRI Using Clinically-Interpretable Morphological Features. 245-256 - Bruno Viti, Franz Thaler, Kathrin Lisa Kapper, Martin Urschler, Martin Holler, Elias Karabelas:
Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI. 257-268 - Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink:
Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. 269-279 - Waqas Anwaar, Manh The Van, Jiongtong Hu, Zhurong Chen, Wufeng Xue, Dong Ni:
A Self-distillation Bi-atrial Segmentation Network for Cardiac MRI. 280-288 - Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas:
Enhanced Deep Unrolled Models Applied to the CMRxRecon2024 Challenge. 289-300 - Giacomo Verardo, Daniel F. Perez-Ramirez, Samuel Bruchfeld, Magnus Boman, Marco Chiesa, Sabine Koch, Gerald Q. Maguire Jr., Dejan Kostic:
Reducing the Number of Leads for ECG Imaging with Graph Neural Networks and Meaningful Latent Space. 301-312 - George Obada, Shaheim Ogbomo-Harmitt, Maria Deprez, Robin Van Den Abeelen, Nele Vandersickel, Oleg V. Aslanidi:
Rotor Core Projection Ablation (RCPA): Novel Computational Approach to Catheter Ablation Therapy for Atrial Fibrillation. 313-322 - Èric Lluch, Eduardo Castañeda, Maximilian E. R. Weiss, Anamaria Vizitiu, Athira Jacob, Jitin Jami, Chloé Audigier, Felix Meister, Viorel Mihalef, Tiziano Passerini:
Automated Pipeline for Regional Epicardial Adipose Tissue Distribution Analysis in the Left Atrium. 323-333 - Jaykumar H. Patel, Brenden T. Kadota, Calder D. Sheagren, Mark Chiew, Graham A. Wright:
Low-Rank Conjugate Gradient-Net for Accelerated Cardiac MR Imaging. 334-344 - Arthur L. Lefebvre, Ishan Vatsaraj, Carolyna A. P. Yamamoto, Kensuke Sakata, Brock Tice, Natalia A. Trayanova, Eugene G. Kholmovski:
SegBAW-Net: Segmentation of Bi-Atria and Wall Network Offering Valuable Insights into Challenge Data. 345-356 - Malitha Gunawardhana, Fangqiang Xu, Yun Gu, Jichao Zhao:
ResNet-Based Convolutional Framework for Segmenting Left Atrial Scars and Cavities. 357-367 - Fan Feng, Abdallah Hasaballa, Fangqiang Xu, Jiayuan Yang, Yun Gu, Grace Wen, Carl-Johan Carlhäll, Jichao Zhao:
EAT-Mamba: Epicardial Adipose Tissue Segmentation from Multi-modal Dixon MRI. 368-377 - Simone Garzia, Patryk Rygiel, Sven Dummer, Filippo Cademartiri, Simona Celi, Jelmer M. Wolterink:
Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging. 378-389 - Yichi Zhang, Yuan Cheng, Yuan Qi:
Exploring CNN and Transformer Architectures for Multi-class Bi-Atrial Segmentation from Late Gadolinium-Enhanced MRI. 390-397 - Georgios Tziritas:
EigenBoundaries for Temporally Regularized Segmentation of Echocardiographic Images. 398-410 - Xinrui Guo, Liwen Li, Fumin Guo:
Dynamic Cardiac MRI Reconstruction via Separate Optimization of K-Space and Hybrid-Domian Spatial-Temporal Feature Fusion. 411-420 - Buntheng Ly, Sonny Finsterbach, Marta Nuñez Garcia, Hubert Cochet, Maxime Sermesant:
Can Interpretable Learning of Risk Explain Ventricular Arrhythmia Mechanism? 421-432 - Moïse Z. Jansen, Debbie Zhao, Edward Ferdian, Stephen A. Creamer, Joshua R. Dillon, Mathilde A. Verlyck, Gina M. Quill, Nicola C. Edwards, Malcolm E. Legget, Robert N. Doughty, Alistair A. Young, Martyn P. Nash:
3D Left Ventricular Reconstruction from 2D Echocardiograms for Reliable Volume Estimation. 433-442 - Paolo Melidoro, Malak Sabry, Abdel Rahman Amr Sultan, Ahmed Qureshi, Gregory Y. H. Lip, Natalie Montarello, Nishant Lahoti, Ronak Rajani, Magdalena Klis, Steven E. Williams, Oleg V. Aslanidi, Adelaide de Vecchi:
Comparing Left Atrial Spontaneous Echo Contrast Intensity with Gaussian Process Emulator Predictions. 443-452 - Donghang Lyu, Chinmay Rao, Marius Staring, Matthias J. P. van Osch, Mariya Doneva, Hildo J. Lamb, Nicola Pezzotti:
UPCMR: A Universal Prompt-Guided Model for Random Sampling Cardiac MRI Reconstruction. 453-463 - Kian Anvari Hamedani, Narges Razizadeh, Shahabedin Nabavi, Mohsen Ebrahimi Moghaddam:
An All-in-One Approach for Accelerated Cardiac MRI Reconstruction. 464-475 - Dewmini Hasara Wickremasinghe, Yiyang Xu, Esther Puyol-Antón, Paul Aljabar, Reza Razavi, Andrew P. King:
Improving the Scan-Rescan Precision of AI-Based CMR Biomarker Estimation. 476-485
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