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| Link zu diesem Datensatz | https://d-nb.info/1318038545 |
| Titel | 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 / edited by Oscar Camara, Esther Puyol-Antón, Maxime Sermesant, Avan Suinesiaputra, Qian Tao, Chengyan Wang, Alistair Young |
| Person(en) |
Camara, Oscar (Herausgeber) Puyol-Antón, Esther (Herausgeber) Sermesant, Maxime (Herausgeber) Suinesiaputra, Avan (Herausgeber) Tao, Qian (Herausgeber) Wang, Chengyan (Herausgeber) Young, Alistair (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, XIV, 494 p. 169 illus., 149 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-52447-9 Printed edition:: ISBN: 978-3-031-52449-3 |
| Inhalt | CardiacSeg: Customized Pre-Training Volumetric Transformer with Scaling Pyramid for 3D Cardiac Segmentation -- Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics -- Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy -- Patient Stratification Based on Fast Simulation of Cardiac Electrophysiology on Digital Twins -- Deep Conditional Shape Models for 3D cardiac image segmentation -- Global Sensitivity Analysis of Thrombus Formation in the Left Atrial Appendage of Atrial Fibrillation Patients -- Sparse annotation strategies for segmentation of short axis cardiac MRI -- Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI -- FM-Net: A Fully Automatic Deep Learning Pipeline for Epicardial Adipose Tissue Segmentation -- Automated quality-controlled left heart segmentation from 2D echocardiography -- Impact of hypertension on left ventricular pressure-strain loop characteristics and myocardial work -- Automated segmentation of the right ventricle from 3D echocardiography using labels from cardiac magnetic resonance imaging -- Neural Implicit Functions for 3D Shape Reconstruction from standard Cardiovascular Magnetic Resonance views -- Deep Learning-based Pulmonary Artery Surface Mesh Generation -- Impact of catheter orientation on cardiac radiofrequency ablation -- Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net -- Effects of Fibrotic Border Zone on Drivers for Atrial Fibrillation: An In-Silico Mechanistic Investigation -- Exploring the relationship between pulmonary artery shape and pressure in Pulmonary Hypertension: A statistical shape analysis study. -- Type and Shape Disentangled Generative Modeling for Congenital Heart Defects -- Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network -- Inherent Atrial Fibrillation Vulnerability in the Appendages Exacerbated in Heart Failure -- Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images -- Automatic Landing Zone Plane Detection in Contrast-Enhanced Cardiac CT Volumes -- A Benchmarking Study of Deep Learning Approaches for Bi-atrial Segmentation on Late Gadolinium-enhanced MRIs -- Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction -- Learnable objective image function for accelerated MRI reconstruction -- Accelerating Cardiac MRI via Deblurring without Sensitivity Estimation -- T1/T2 relaxation temporal modelling from accelerated acquisitions using a Latent Transformer -- T1 and T2 mapping reconstruction based on conditional DDPM -- $k$-$t$ CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction -- Cardiac MRI reconstruction from undersampled k-space using double-stream IFFT and a denoising GNA-UNET pipeline -- Multi-Scale Inter-Frame Information Fusion Based Network for Cardiac MRI Reconstruction -- Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction -- A Context-Encoders-based Generative Adversarial Networks for Cine Magnetic Resonance Imaging Reconstruction -- Accelerated Cardiac Parametric Mapping using Deep Learning-Refined Subspace Models -- DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models -- C3-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR Images -- Space-Time Deformable Attention Parallel Imaging Reconstruction for Highly Accelerated Cardiac MRI -- Multi-level Temporal Information Sharing Transformer-based Feature Reuse Network for Cardiac MRI Reconstruction -- Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement -- ReconNext:A Encoder-Decoder Skip Cross Attention based approach to reconstruct Cardiac MRI -- Temporal Super-Resolution for Fast T1 Mapping -- NoSENSE: Learned Unrolled Cardiac MRI Reconstruction Without Explicit Sensitivity Maps -- CineJENSE: Simultaneous Cine MRI Image Reconstruction and Sensitivity Map Estimation using Neural Representations -- Deep Cardiac MRI Reconstruction with ADMM |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2024020203272180393776 DOI: 10.1007/978-3-031-52448-6 |
| URL | https://doi.org/10.1007/978-3-031-52448-6 |
| ISBN/Einband/Preis | 978-3-031-52448-6 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 14507 |
| DDC-Notation | 616.1 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 610 Medizin, Gesundheit |
| Online-Zugriff | Archivobjekt öffnen |
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