3D Mitral Valve Surface Reconstruction from 3D TEE via Graph Neural Networks

3D Mitral Valve Surface Reconstruction from 3D TEE via Graph Neural Networks

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:STACOM Workshop (13. : 2022 : Singapur) Statistical atlases and computational models of the heart
1. Verfasser: Ivantsits, Matthias (VerfasserIn)
Weitere Verfasser: Pfahringer, Boris (VerfasserIn), Huellebrand, Markus (VerfasserIn), Walczak, Lars (VerfasserIn), Tautz, Lennart (VerfasserIn), Nemchyna, Olena (VerfasserIn), Kempfert, Jörg (VerfasserIn), Sündermann, Simon (VerfasserIn), Hennemuth, Anja (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2022
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal 2022 Tänzer, Michael
Unsupervised Echocardiography Registration Through Patch-Based MLPs and Transformers 2022 Wang, Zihao
APHYN-EP: Physics-Based Deep Learning Framework to Learn and Forecast Cardiac Electrophysiology Dynamics 2022 Kashtanova, Victoriya
A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation 2022 Lee, Tiarna
Post-Infarction Risk Prediction with Mesh Classification Networks 2022 Beetz, Marcel
Computerized Analysis of the Human Heart to Guide Targeted Treatment of Atrial Fibrillation 2022 Sharma, Roshan
Semi-supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels 2022 Ma, Wanqin
Deep Learning Based Classification and Segmentation for Cardiac Magnetic Resonance Imaging with Respiratory Motion Artifacts 2022 Mora-Rubio, Alejandro
Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts Using Multi-task Learning and K-Space Motion Artefact Augmentation 2022 Arega, Tewodros Weldebirhan
3D MRI Cardiac Segmentation Under Respiratory Motion Artifacts 2022 Kou, Yongqing
A Deep Learning-Based Fully Automatic Framework for Motion-Existing Cine Image Quality Control and Quantitative Analysis 2022 Yang, Huili
Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data 2022 Qiao, Mengyun
Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling 2022 Zhang, Xiaoran
Self-supervised Motion Descriptor for Cardiac Phase Detection in 4D CMR Based on Discrete Vector Field Estimations 2022 Koehler, Sven
Haemodynamic Changes in the Fetal Circulation Post-connection to an Artificial Placenta: A Computational Modelling Study 2022 Villanueva, Maria Inmaculada
Improving Echocardiography Segmentation by Polar Transformation 2022 Feng, Zishun
Unsupervised Machine Learning Exploration of Morphological and Haemodynamic Indices to Predict Thrombus Formation in the Left Atrial Appendage 2022 Saiz-Vivó, Marta
Mesh U-Nets for 3D Cardiac Deformation Modeling 2022 Beetz, Marcel
Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries 2022 Iyer, Krithika
PAT-CNN: Automatic Segmentation and Quantification of Pericardial Adipose Tissue from T2-Weighted Cardiac Magnetic Resonance Images 2022 Li, Zhuoyu
Alle Artikel auflisten