C3-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR Images (Englisch)
- Neue Suche nach: Dou, Quan
- Neue Suche nach: Yan, Kang
- Neue Suche nach: Chen, Sheng
- Neue Suche nach: Wang, Zhixing
- Neue Suche nach: Feng, Xue
- Neue Suche nach: Meyer, Craig H.
- Neue Suche nach: Camara, Oscar
- Weitere Informationen zu Camara, Oscar:
- https://orcid.org/https://orcid.org/0000-0002-5125-6132
- Neue Suche nach: Puyol-Antón, Esther
- Weitere Informationen zu Puyol-Antón, Esther:
- https://orcid.org/https://orcid.org/0000-0002-9789-6629
- Neue Suche nach: Sermesant, Maxime
- Weitere Informationen zu Sermesant, Maxime:
- https://orcid.org/https://orcid.org/0000-0002-6256-8350
- Neue Suche nach: Suinesiaputra, Avan
- Weitere Informationen zu Suinesiaputra, Avan:
- https://orcid.org/https://orcid.org/0000-0003-1165-458X
- Neue Suche nach: Tao, Qian
- Weitere Informationen zu Tao, Qian:
- https://orcid.org/https://orcid.org/0000-0001-7480-0703
- Neue Suche nach: Wang, Chengyan
- Weitere Informationen zu Wang, Chengyan:
- https://orcid.org/https://orcid.org/0000-0002-8890-4973
- Neue Suche nach: Young, Alistair
- Weitere Informationen zu Young, Alistair:
- https://orcid.org/https://orcid.org/0000-0001-5702-4220
- Neue Suche nach: Dou, Quan
- Neue Suche nach: Yan, Kang
- Neue Suche nach: Chen, Sheng
- Neue Suche nach: Wang, Zhixing
- Neue Suche nach: Feng, Xue
- Neue Suche nach: Meyer, Craig H.
In:
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
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Kapitel: 37
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390-399
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2024
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
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Titel:C3-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR Images
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Weitere Titelangaben:Lect.Notes Computer
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Beteiligte:Camara, Oscar ( Herausgeber:in ) / Puyol-Antón, Esther ( Herausgeber:in ) / Sermesant, Maxime ( Herausgeber:in ) / Suinesiaputra, Avan ( Herausgeber:in ) / Tao, Qian ( Herausgeber:in ) / Wang, Chengyan ( Herausgeber:in ) / Young, Alistair ( Herausgeber:in ) / Dou, Quan ( Autor:in ) / Yan, Kang ( Autor:in ) / Chen, Sheng ( Autor:in )
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Kongress:International Workshop on Statistical Atlases and Computational Models of the Heart ; 2023 ; Vancouver, BC, Canada
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Erschienen in: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 ; Kapitel: 37 ; 390-399Lecture Notes in Computer Science ; 14507 ; 390-399
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Verlag:
- Neue Suche nach: Springer Nature Switzerland
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Erscheinungsort:Cham
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Erscheinungsdatum:02.02.2024
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Format / Umfang:10 pages
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ISBN:
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ISSN:
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DOI:
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Medientyp:Aufsatz/Kapitel (Buch)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis E-Book
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
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CardiacSeg: Customized Pre-training Volumetric Transformer with Scaling Pyramid for 3D Cardiac SegmentationYe, Zhiyu / Zheng, Hairong / Zhang, Tong et al. | 2024
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Voxel2Hemodynamics: An End-to-End Deep Learning Method for Predicting Coronary Artery HemodynamicsNi, Ziyu / Wei, Linda / Xu, Lijian / Xia, Qing / Li, Hongsheng / Zhang, Shaoting / Metaxas, Dimitris et al. | 2024
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Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular CardiomyopathyAlvarez-Florez, Laura / Sander, Jörg / Bourfiss, Mimount / Tjong, Fleur V. Y. / Velthuis, Birgitta K. / Išgum, Ivana et al. | 2024
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Patient Stratification Based on Fast Simulation of Cardiac Electrophysiology on Digital TwinsSerra, Dolors / Romero, Pau / Lozano, Miguel / Garcia-Fernandez, Ignacio / Penela, Diego / Berruezo, Antonio / Camara, Oscar / Rodrigo, Miguel / Gil, Miriam / Sebastian, Rafael et al. | 2024
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Deep Conditional Shape Models for 3D Cardiac Image SegmentationJacob, Athira J. / Sharma, Puneet / Ruckert, Daniel et al. | 2024
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Global Sensitivity Analysis of Thrombus Formation in the Left Atrial Appendage of Atrial Fibrillation PatientsSmine, Zineb / Melidoro, Paolo / Qureshi, Ahmed / Longobardi, Stefano / Williams, Steven E. / Aslanidi, Oleg / De Vecchi, Adelaide et al. | 2024
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Sparse Annotation Strategies for Segmentation of Short Axis Cardiac MRIStein, Josh / Di Folco, Maxime / Schnabel, Julia A. et al. | 2024
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Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRILi, Xinqi / Zhang, Yi / Zhao, Yidong / van Gemert, Jan / Tao, Qian et al. | 2024
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FM-Net: A Fully Automatic Deep Learning Pipeline for Epicardial Adipose Tissue SegmentationFeng, Fan / Carlhäll, Carl-Johan / Tan, Yongyao / Agrawal, Shaleka / Lundberg, Peter / Bai, Jieyun / Yang, John Zhiyong / Trew, Mark / Zhao, Jichao et al. | 2024
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Automated Quality-Controlled Left Heart Segmentation from 2D EchocardiographyGeven, Bram W. M. / Zhao, Debbie / Creamer, Stephen A. / Dillon, Joshua R. / Quill, Gina M. / Edwards, Nicola C. / Legget, Malcolm E. / Doughty, Robert N. / Young, Alistair A. / Gamage, Thiranja P. Babarenda et al. | 2024
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Automated Segmentation of the Right Ventricle from 3D Echocardiography Using Labels from Cardiac Magnetic Resonance ImagingDillon, Joshua R. / Zhao, Debbie / Gamage, Thiranja P. Babarenda / Quill, Gina M. / Wang, Vicky Y. / Edwards, Nicola C. / Sutton, Timothy M. / Lowe, Boris S. / Legget, Malcolm E. / Doughty, Robert N. et al. | 2024
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Deep Learning-Based Pulmonary Artery Surface Mesh GenerationKrüger, Nina / Brüning, Jan / Goubergrits, Leonid / Ivantsits, Matthias / Walczak, Lars / Falk, Volkmar / Dreger, Henryk / Kühne, Titus / Hennemuth, Anja et al. | 2024
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Impact of Catheter Orientation on Cardiac Radiofrequency AblationLeoni, Massimiliano / Petras, Argyrios / Weidmann, Zoraida Moreno / Guerra, Jose M. / Gerardo-Giorda, Luca et al. | 2024
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Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-NetPeng, Jiachuan / Beetz, Marcel / Banerjee, Abhirup / Chen, Min / Grau, Vicente et al. | 2024
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Effects of Fibrotic Border Zone on Drivers for Atrial Fibrillation: An In-Silico Mechanistic InvestigationOgbomo-Harmitt, Shaheim / Obada, George / Vandersickel, Nele / King, Andrew P. / Aslanidi, Oleg et al. | 2024
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Exploring the Relationship Between Pulmonary Artery Shape and Pressure in Pulmonary Hypertension: A Statistical Shape Analysis StudySabry, Malak / Hermida, Uxio / Hassan, Ahmed / Nagy, Michael / Stojanovski, David / Samuel, Irini / Locas, John / Yacoub, Magdi H. / De Vecchi, Adelaide / Lamata, Pablo et al. | 2024
- 19
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Type and Shape Disentangled Generative Modeling for Congenital Heart DefectsKong, Fanwei / Marsden, Alison L. et al. | 2024
- 20
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Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention NetworkHe, Haorui / Banerjee, Abhirup / Choudhury, Robin P. / Grau, Vicente et al. | 2024
- 21
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Inherent Atrial Fibrillation Vulnerability in the Appendages Exacerbated in Heart FailureAgrawal, Shaleka / Ashby, Joseph / Bai, Jeiyun / Feng, Fan / Cai, Xue J. / Yanni, Joseph / Jones, Caroline B. / Logantha, Sunil J. R. J. / Vohra, Akbar / Hutcheon, Robert C. et al. | 2024
- 22
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Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI ImagesSultan, K M Arefeen / Orkild, Benjamin / Morris, Alan / Kholmovski, Eugene / Bieging, Erik / Kwan, Eugene / Ranjan, Ravi / DiBella, Ed / Elhabian, Shireen et al. | 2024
- 23
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Automatic Landing Zone Plane Detection in Contrast-Enhanced Cardiac CT VolumesLockhart, Lisette / Yi, Xin / Cassady, Nathan / Nunn, Alexandra / Swingen, Cory / Amir-Khalili, Alborz et al. | 2024
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A Benchmarking Study of Deep Learning Approaches for Bi-Atrial Segmentation on Late Gadolinium-Enhanced MRIsTan, Yongyao / Feng, Fan / Zhao, Jichao et al. | 2024
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Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI ReconstructionXin, Bingyu / Ye, Meng / Axel, Leon / Metaxas, Dimitris N. et al. | 2024
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Learnable Objective Image Function for Accelerated MRI ReconstructionRazumov, Artem / Dylov, Dmitry V. et al. | 2024
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Accelerating Cardiac MRI via Deblurring Without Sensitivity EstimationHe, Jin / Liu, Weizhou / Tian, Yun / Zhao, Shifeng et al. | 2024
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T1/T2 Relaxation Temporal Modelling from Accelerated Acquisitions Using a Latent TransformerTänzer, Michael / Wang, Fanwen / Qiao, Mengyun / Bai, Wenjia / Rueckert, Daniel / Yang, Guang / Nielles-Vallespin, Sonia et al. | 2024
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T1 and T2 Mapping Reconstruction Based on Conditional DDPMLi, Yansong / Zhao, Lulu / Tian, Yun / Zhao, Shifeng et al. | 2024
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k-t CLAIR: Self-consistency Guided Multi-prior Learning for Dynamic Parallel MR Image ReconstructionZhang, Liping / Chen, Weitian et al. | 2024
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Multi-scale Inter-frame Information Fusion Based Network for Cardiac MRI ReconstructionDing, Wenzhe / Liu, Xiaohan / Sun, Yong / Liu, Yiming / Pang, Yanwei et al. | 2024
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Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image ReconstructionZhao, Yidong / Zhang, Yi / Tao, Qian et al. | 2024
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A Context-Encoders-Based Generative Adversarial Networks for Cine Magnetic Resonance Imaging ReconstructionZhang, Weihua / Tang, Mengshi / Huang, Liqin / Li, Wei et al. | 2024
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Accelerated Cardiac Parametric Mapping Using Deep Learning-Refined Subspace ModelsSheagren, Calder D. / Kadota, Brenden T. / Patel, Jaykumar H. / Chiew, Mark / Wright, Graham A. et al. | 2024
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DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsXiang, Tianqi / Yue, Wenjun / Lin, Yiqun / Yang, Jiewen / Wang, Zhenkun / Li, Xiaomeng et al. | 2024
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C3-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR ImagesDou, Quan / Yan, Kang / Chen, Sheng / Wang, Zhixing / Feng, Xue / Meyer, Craig H. et al. | 2024
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Multi-level Temporal Information Sharing Transformer-Based Feature Reuse Network for Cardiac MRI ReconstructionWang, Guangming / Lyu, Jun / Wang, Fanwen / Wang, Chengyan / Qin, Jing et al. | 2024
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Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with RefinementXue, Yuyang / Du, Yuning / Carloni, Gianluca / Pachetti, Eva / Jordan, Connor / Tsaftaris, Sotirios A. et al. | 2024
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NoSENSE: Learned Unrolled Cardiac MRI Reconstruction Without Explicit Sensitivity MapsZimmermann, Felix Frederik / Kofler, Andreas et al. | 2024
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CineJENSE: Simultaneous Cine MRI Image Reconstruction and Sensitivity Map Estimation Using Neural RepresentationsAl-Haj Hemidi, Ziad / Vogt, Nora / Quillien, Lucile / Weihsbach, Christian / Heinrich, Mattias P. / Oster, Julien et al. | 2024
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