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12th STACOM@MICCAI 2021: Strasbourg, France
- Esther Puyol-Antón, Mihaela Pop, Carlos Martín-Isla, Maxime Sermesant, Avan Suinesiaputra, Oscar Camara, Karim Lekadir
, Alistair Young:
Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM@MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13131, Springer 2022, ISBN 978-3-030-93721-8
Regular Papers
- Diana Marín-Castrillón, Arnaud Boucher, Siyu Lin, Chloé Bernard, Marie-Catherine Morgant, Alexandre Cochet, Alain Lalande, Olivier Bouchot, Benoit Presles:
Multi-atlas Segmentation of the Aorta from 4D Flow MRI: Comparison of Several Fusion Strategies. 3-11 - Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz
Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data. 12-20 - Zhanqiang Guo, Yifan Zhang, Jianjiang Feng, Eddy Yang, Lan Qin, Jie Zhou:
Coronary Artery Centerline Refinement Using GCN Trained with Synthetic Data. 21-28 - Peter Lin, Terenz Escartin, Matthew Ng, Mengyuan Li, Melissa Larsen, Jennifer Barry, Idan Roifman, Mihaela Pop:
Novel Imaging Biomarkers to Evaluate Heart Dysfunction Post-chemotherapy: A Preclinical MRI Feasibility Study. 29-37 - Claudia Nagel
A Bi-atrial Statistical Shape Model as a Basis to Classify Left Atrial Enlargement from Simulated and Clinical 12-Lead ECGs. 38-47 - Hui Fang, Zhanqiang Guo, Guozhu Shao, Zimeng Tan, Jinyang Yu, Jia Liu, Yukun Cao, Jie Zhou, Heshui Shi, Jianjiang Feng:
Vessel Extraction and Analysis of Aortic Dissection. 48-56 - Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel
The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. 57-65 - Benoît Freiche, Patrick Clarysse, Magalie Viallon, Pierre Croisille, Nicolas Duchateau:
Characterizing Myocardial Ischemia and Reperfusion Patterns with Hierarchical Manifold Learning. 66-74 - Marcel Beetz, Abhirup Banerjee
Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders. 75-83 - Jorge Mariscal Harana, Naomi Kifle, Reza Razavi
Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR. 84-92 - Julian Suk, Pim de Haan, Phillip Lippe
Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models. 93-102 - Gabriel Bernardino
Hierarchical Multi-modality Prediction Model to Assess Obesity-Related Remodelling. 103-112 - Hyungjoo Cho
Neural Angular Plaque Characterization: Automated Quantification of Polar Distribution for Plaque Composition. 113-122 - Kevinminh Ta, Shawn S. Ahn
Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning. 123-131 - Jared Vicory
Statistical Shape Analysis of the Tricuspid Valve in Hypoplastic Left Heart Syndrome. 132-140 - Qi Chang, Zhennan Yan, Meng Ye, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging. 141-150 - Wangbin Ding, Lei Li, Liqin Huang, Xiahai Zhuang:
Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information. 151-159 - Eric Planas, Jordi Mill, Andy L. Olivares, Xabier Morales, Maria Isabel Pons, Xavier Iriart, Hubert Cochet, Oscar Camara:
In-silico Analysis of Device-Related Thrombosis for Different Left Atrial Appendage Occluder Settings. 160-168 - Paula Casademunt, Oscar Camara, Bart H. Bijnens, Èric Lluch, Hernán G. Morales:
Valve Flattening with Functional Biomarkers for the Assessment of Mitral Valve Repair. 169-178 - Fuping Wu, Lei Li, Xiahai Zhuang:
Multi-modality Cardiac Segmentation via Mixing Domains for Unsupervised Adaptation. 179-188 - Tareen Dawood, Chen Chen
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. 189-198 - Caner Özer
Cross-domain Artefact Correction of Cardiac MRI. 199-207 - Jun-Ting Chen, Yu-Cheng Huang, Holger Roth, Dong Yang, Chih-Kuo Lee, Wen-Jeng Lee
Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN. 208-218 - Marcel Beetz, Julius Ossenberg-Engels, Abhirup Banerjee
Predicting 3D Cardiac Deformations with Point Cloud Autoencoders. 219-228 - Ruifen Zhang, Monica Sigovan, Patrick Clarysse:
Influence of Morphometric and Mechanical Factors in Thoracic Aorta Finite Element Modeling. 229-238
Multi-disease, Multi-view and Multi-center Right Ventricular Segmentation in Cardiac MRI Challenge (M&Ms-2)
- Xiaowu Sun, Li-Hsin Cheng
Right Ventricle Segmentation via Registration and Multi-input Modalities in Cardiac Magnetic Resonance Imaging from Multi-disease, Multi-view and Multi-center. 241-249 - Tewodros Weldebirhan Arega, François Le Grand, Stéphanie Bricq, Fabrice Mériaudeau:
Using MRI-specific Data Augmentation to Enhance the Segmentation of Right Ventricle in Multi-disease, Multi-center and Multi-view Cardiac MRI. 250-258 - Lei Li
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition. 259-267 - Christoforos Galazis, Huiyi Wu, Zhuoyu Li, Camille Petri, Anil A. Bharath, Marta Varela
Tempera: Spatial Transformer Feature Pyramid Network for Cardiac MRI Segmentation. 268-276 - Sana Jabbar, Syed Talha Bukhari, Hassan Mohy-ud-Din:
Multi-view SA-LA Net: A Framework for Simultaneous Segmentation of RV on Multi-view Cardiac MR Images. 277-286 - Sandro F. Queiros
Right Ventricular Segmentation in Multi-view Cardiac MRI Using a Unified U-net Model. 287-295 - Mitchell J. Fulton, Christoffer R. Heckman, Mark E. Rentschler:
Deformable Bayesian Convolutional Networks for Disease-Robust Cardiac MRI Segmentation. 296-305 - Zheyao Gao
Consistency Based Co-segmentation for Multi-view Cardiac MRI Using Vision Transformer. 306-314 - Di Liu, Zhennan Yan, Qi Chang, Leon Axel, Dimitris N. Metaxas:
Refined Deep Layer Aggregation for Multi-Disease, Multi-View & Multi-Center Cardiac MR Segmentation. 315-322 - Marcel Beetz, Jorge Corral Acero
A Multi-view Crossover Attention U-Net Cascade with Fourier Domain Adaptation for Multi-domain Cardiac MRI Segmentation. 323-334 - Moona Mazher
Multi-disease, Multi-view and Multi-center Right Ventricular Segmentation in Cardiac MRI Using Efficient Late-Ensemble Deep Learning Approach. 335-343 - Kumaradevan Punithakumar, Adam Carscadden, Michelle Noga
Automated Segmentation of the Right Ventricle from Magnetic Resonance Imaging Using Deep Convolutional Neural Networks. 344-351 - Lennart Tautz
3D Right Ventricle Reconstruction from 2D U-Net Segmentation of Sparse Short-Axis and 4-Chamber Cardiac Cine MRI Views. 352-359 - Yasmina Al Khalil, Sina Amirrajab
Late Fusion U-Net with GAN-Based Augmentation for Generalizable Cardiac MRI Segmentation. 360-373 - Francesco Galati
Using Out-of-Distribution Detection for Model Refinement in Cardiac Image Segmentation. 374-382
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