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ORCID12th 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, Devran Ugurlu, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King:
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, Matthias Schaufelberger, Olaf Dössel, Axel Loewe:
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, Vicente Grau:
Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders. 75-83 - Jorge Mariscal Harana, Naomi Kifle, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón:
Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR. 84-92 - Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink:
Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models. 93-102 - Gabriel Bernardino, Patrick Clarysse, Álvaro Sepúlveda-Martínez, Merida Rodriguez-Lopez, Susanna Prat-Gonzàlez, Marta Sitges, Eduard Gratacós, Fátima Crispi, Nicolas Duchateau:
Hierarchical Multi-modality Prediction Model to Assess Obesity-Related Remodelling. 103-112 - Hyungjoo Cho, Dongmin Choi, Hyun-seok Min, Soo-Jin Kang, Hwiyoung Kim:
Neural Angular Plaque Characterization: Automated Quantification of Polar Distribution for Plaque Composition. 113-122 - Kevinminh Ta, Shawn S. Ahn, John C. Stendahl, Jonathan Langdon, Albert J. Sinusas, James S. Duncan:
Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning. 123-131 - Jared Vicory, Christian Herz, David Allemang, Hannah H. Nam, Alana Cianciulli, Chad Vigil, Ye Han, Andras Lasso, Matthew A. Jolley, Beatriz Paniagua:
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, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King:
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. 189-198 - Caner Özer, Ilkay Öksüz:
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, Tzung-Dau Wang, Cheng-Ying Chou, Weichung Wang:
Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN. 208-218 - Marcel Beetz, Julius Ossenberg-Engels, Abhirup Banerjee, Vicente Grau:
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, Rob J. van der Geest:
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, Wangbin Ding, Liqin Huang, Xiahai Zhuang:
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, Xiahai Zhuang:
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, Vicente Grau:
A Multi-view Crossover Attention U-Net Cascade with Fourier Domain Adaptation for Multi-domain Cardiac MRI Segmentation. 323-334 - Moona Mazher, Abdul Qayyum, Abdesslam Benzinou, Mohamed Abdel-Nasser, Domenec Puig:
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, Lars Walczak, Chiara Manini, Anja Hennemuth, Markus Hüllebrand:
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, Josien P. W. Pluim, Marcel Breeuwer:
Late Fusion U-Net with GAN-Based Augmentation for Generalizable Cardiac MRI Segmentation. 360-373 - Francesco Galati, Maria A. Zuluaga:
Using Out-of-Distribution Detection for Model Refinement in Cardiac Image Segmentation. 374-382
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