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ORCID14th STACOM@MICCAI 2023: Vancouver, BC, Canada
- Oscar Camara
, Esther Puyol-Antón, Maxime Sermesant, Avan Suinesiaputra, Qian Tao, Chengyan Wang, Alistair A. Young:
Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14507, Springer 2024, ISBN 978-3-031-52447-9
Regular Papers
- Zhiyu Ye, Hairong Zheng, Tong Zhang:
CardiacSeg: Customized Pre-training Volumetric Transformer with Scaling Pyramid for 3D Cardiac Segmentation. 3-14 - Ziyu Ni, Linda Wei, Lijian Xu, Qing Xia, Hongsheng Li, Shaoting Zhang, Dimitris N. Metaxas:
Voxel2Hemodynamics: An End-to-End Deep Learning Method for Predicting Coronary Artery Hemodynamics. 15-24 - Laura Alvarez-Florez, Jörg Sander, Mimount Bourfiss, Fleur V. Y. Tjong, Birgitta K. Velthuis, Ivana Isgum:
Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy. 25-34 - Dolors Serra, Pau Romero, Miguel Lozano, Ignacio García-Fernández, Diego Penela, Antonio Berruezo, Oscar Camara, Miguel Rodrigo, Miriam Gil, Rafael Sebastián:
Patient Stratification Based on Fast Simulation of Cardiac Electrophysiology on Digital Twins. 35-43 - Athira J. Jacob, Puneet Sharma, Daniel Rückert:
Deep Conditional Shape Models for 3D Cardiac Image Segmentation. 44-54 - Zineb Smine, Paolo Melidoro, Ahmed Qureshi, Stefano Longobardi, Steven E. Williams, Oleg V. Aslanidi, Adelaide de Vecchi:
Global Sensitivity Analysis of Thrombus Formation in the Left Atrial Appendage of Atrial Fibrillation Patients. 55-65 - Josh Stein, Maxime Di Folco, Julia A. Schnabel:
Sparse Annotation Strategies for Segmentation of Short Axis Cardiac MRI. 66-76 - Xinqi Li, Yi Zhang, Yidong Zhao, Jan van Gemert, Qian Tao:
Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI. 77-87 - Fan Feng, Carl-Johan Carlhäll, Yongyao Tan, Shaleka Agrawal, Peter Lundberg, Jieyun Bai, John Zhiyong Yang, Mark Trew, Jichao Zhao:
FM-Net: A Fully Automatic Deep Learning Pipeline for Epicardial Adipose Tissue Segmentation. 88-97 - Bram 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:
Automated Quality-Controlled Left Heart Segmentation from 2D Echocardiography. 98-107 - Stephen 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:
Impact of Hypertension on Left Ventricular Pressure-Strain Loop Characteristics and Myocardial Work. 108-118 - Joshua 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:
Automated Segmentation of the Right Ventricle from 3D Echocardiography Using Labels from Cardiac Magnetic Resonance Imaging. 119-129 - Marica Muffoletto, Hao Xu, Yiyang Xu, Steven E. Williams, Michelle C. Williams, Karl P. Kunze, Radhouène Neji, Steven A. Niederer, Daniel Rueckert, Alistair A. Young:
Neural Implicit Functions for 3D Shape Reconstruction from Standard Cardiovascular Magnetic Resonance Views. 130-139 - Nina Krüger, Jan Brüning, Leonid Goubergrits, Matthias Ivantsits, Lars Walczak, Volkmar Falk, Henryk Dreger, Titus Kühne, Anja Hennemuth:
Deep Learning-Based Pulmonary Artery Surface Mesh Generation. 140-151 - Massimiliano Leoni, Argyrios Petras, Zoraida Moreno Weidmann, José Manuel Guerra, Luca Gerardo-Giorda:
Impact of Catheter Orientation on Cardiac Radiofrequency Ablation. 152-162 - Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau:
Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net. 163-173 - Shaheim Ogbomo-Harmitt, George Obada, Nele Vandersickel, Andrew P. King, Oleg V. Aslanidi:
Effects of Fibrotic Border Zone on Drivers for Atrial Fibrillation: An In-Silico Mechanistic Investigation. 174-185 - Malak Sabry, Uxio Hermida, Ahmed Hassan, Michael Nagy, David Stojanovski, Irini Samuel, John Locas, Magdi H. Yacoub, Adelaide de Vecchi, Pablo Lamata:
Exploring the Relationship Between Pulmonary Artery Shape and Pressure in Pulmonary Hypertension: A Statistical Shape Analysis Study. 186-195 - Fanwei Kong, Alison L. Marsden:
Type and Shape Disentangled Generative Modeling for Congenital Heart Defects. 196-208 - Haorui He, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau:
Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network. 209-219 - Shaleka 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:
Inherent Atrial Fibrillation Vulnerability in the Appendages Exacerbated in Heart Failure. 220-229 - K. 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:
Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images. 230-239 - Lisette Lockhart, Xin Yi, Nathan Cassady, Alexandra Nunn, Cory Swingen, Alborz Amir-Khalili:
Automatic Landing Zone Plane Detection in Contrast-Enhanced Cardiac CT Volumes. 240-249 - Yongyao Tan, Fan Feng, Jichao Zhao:
A Benchmarking Study of Deep Learning Approaches for Bi-Atrial Segmentation on Late Gadolinium-Enhanced MRIs. 250-258
CMRxRecon Challenge
- Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas:
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction. 261-273 - Artem Razumov, Dmitry V. Dylov:
Learnable Objective Image Function for Accelerated MRI Reconstruction. 274-282 - Jin He, Weizhou Liu, Yun Tian, Shifeng Zhao:
Accelerating Cardiac MRI via Deblurring Without Sensitivity Estimation. 283-292 - Michael Tänzer, Fanwen Wang, Mengyun Qiao, Wenjia Bai, Daniel Rueckert, Guang Yang, Sonia Nielles-Vallespin:
T1/T2 Relaxation Temporal Modelling from Accelerated Acquisitions Using a Latent Transformer. 293-302 - Yansong Li, Lulu Zhao, Yun Tian, Shifeng Zhao:
T1 and T2 Mapping Reconstruction Based on Conditional DDPM. 303-313 - Liping Zhang, Weitian Chen:
k-t CLAIR: Self-consistency Guided Multi-prior Learning for Dynamic Parallel MR Image Reconstruction. 314-325 - Julia Dietlmeier, Carles García-Cabrera, Anam Hashmi, Kathleen M. Curran, Noel E. O'Connor:
Cardiac MRI Reconstruction from Undersampled K-Space Using Double-Stream IFFT and a Denoising GNA-UNET Pipeline. 326-338 - Wenzhe Ding, Xiaohan Liu, Yong Sun, Yiming Liu, Yanwei Pang:
Multi-scale Inter-frame Information Fusion Based Network for Cardiac MRI Reconstruction. 339-348 - Yidong Zhao, Yi Zhang, Qian Tao:
Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction. 349-358 - Weihua Zhang, Mengshi Tang, Liqin Huang, Wei Li:
A Context-Encoders-Based Generative Adversarial Networks for Cine Magnetic Resonance Imaging Reconstruction. 359-368 - Calder D. Sheagren, Brenden T. Kadota, Jaykumar H. Patel, Mark Chiew, Graham A. Wright:
Accelerated Cardiac Parametric Mapping Using Deep Learning-Refined Subspace Models. 369-379 - Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li:
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models. 380-389 - Quan Dou, Kang Yan, Sheng Chen, Zhixing Wang, Xue Feng, Craig H. Meyer:
C3-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR Images. 390-399 - Lifeng Mei, Kexin Yang, Yi Li, Shoujin Huang, Yilong Liu, Mengye Lyu:
Space-Time Deformable Attention Parallel Imaging Reconstruction for Highly Accelerated Cardiac MRI. 400-409 - Guangming Wang, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin:
Multi-level Temporal Information Sharing Transformer-Based Feature Reuse Network for Cardiac MRI Reconstruction. 410-420 - Yuyang Xue, Yuning Du, Gianluca Carloni, Eva Pachetti, Connor Jordan, Sotirios A. Tsaftaris:
Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement. 421-432 - Ruiyi Li, Hanyuan Zheng, Weiya Sun, Rongjun Ge:
ReconNext: A Encoder-Decoder Skip Cross Attention Based Approach to Reconstruct Cardiac MRI. 433-442 - Xunkang Zhao, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin:
Temporal Super-Resolution for Fast T1 Mapping. 443-453 - Felix Frederik Zimmermann, Andreas Kofler:
NoSENSE: Learned Unrolled Cardiac MRI Reconstruction Without Explicit Sensitivity Maps. 454-466 - Ziad Al-Haj Hemidi, Nora Vogt, Lucile Quillien, Christian Weihsbach, Mattias P. Heinrich, Julien Oster:
CineJENSE: Simultaneous Cine MRI Image Reconstruction and Sensitivity Map Estimation Using Neural Representations. 467-478 - George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Deep Cardiac MRI Reconstruction with ADMM. 479-490
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