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| Link zu diesem Datensatz | https://d-nb.info/1364128713 |
| Titel | Statistical Atlases and Computational Models of the Heart. Workshop, CMRxRecon and MBAS Challenge Papers : 15th International Workshop, STACOM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Revised Selected Papers / edited by Oscar Camara, Esther Puyol-Antón, Maxime Sermesant, Avan Suinesiaputra, Jichao Zhao, Chengyan Wang, Qian Tao, Alistair Young |
| Person(en) |
Camara, Oscar (Herausgeber) Puyol-Antón, Esther (Herausgeber) Sermesant, Maxime (Herausgeber) Suinesiaputra, Avan (Herausgeber) Zhao, Jichao (Herausgeber) Wang, Chengyan (Herausgeber) Tao, Qian (Herausgeber) Young, Alistair (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XIV, 490 p. 207 illus., 185 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-87755-1 Printed edition:: ISBN: 978-3-031-87757-5 |
| Inhalt | -- Single-source Domain Generalization for Coronary Vessels Segmentation in X-ray Angiography. -- Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction. -- Automated estimation of cardiac stroke volumes from computed tomography. -- Peridevice leaks following left atrial appendage occlusion - analysis with morphology descriptive centerlines and explainable graph attention network. -- Improved 3D Whole Heart Geometry from Sparse CMR Slices. -- CavityBASNet: Cavity-focused Biatrial Automatic Segmentation on LGE MRI with augmented input channel and left-right myocardium splitting. -- A novel MRI-based electrophysiological computational model of progressive doxorubicin-induced fibrosis in the left ventricle. -- Quantitative comparison of blood flow patterns from in silico simulations and 4D flow data before and after left atrial occlusion. -- Panoramic anatomical context in 3D intracardiac echocardiography (ICE) with 3D registration and geometry-based image fusion. -- Physics-Informed Neural Networks can accurately model cardiac electrophysiology in 3D geometries and fibrillatory conditions. -- Beyond the standards: Fully-Automated Aortic Annulus Segmentation on Contrast-free Magnetic Resonance Imaging using a Computational Aorta Unwrapping Method. -- Coronary Artery Calcium Scoring from Non-Contrast Cardiac CT Using Deep Learning With External Validation. -- Effective approach based on student-teacher self-supervised deep learning for Multi-class Bi-Atrial Segmentation Challenge. -- Sampling-Pattern-Agnostic MRI Reconstruction through Adaptive Consistency Enforcement with Diffusion Model. -- HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss. -- A Multi-Contrast Cardiac MRI Reconstruction Method Using an Advanced Unrolled Network Architecture. -- Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Cardiac Cycle. -- Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxil iary Refinement Network. -- Multi-Model Ensemble Approach for Accurate Bi-Atrial Segmentation in LGE-MRI of Atrial Fibrillation Patients. -- Two-Stage nnU-Net for Automatic Multi-class Bi-Atrial Segmentation from LGE-MRIs. -- An Ensemble of 3D Residual Encoder UNet Models for Solving Multi-Class Bi-Atrial Segmentation Challenge. -- Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-Class Bi-Atrial Segmentation from LGE-MRI. -- On the Foundation Model for Cardiac MRI Reconstruction. -- Multi-Loss 3D Segmentation for Enhanced Bi-Atrial Segmentation. -- Classification of Mitral Regurgitation from Cardiac Cine MRI using Clinically-Interpretable Morphological Features. -- Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI. -- Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. -- A self-distillation bi-atrial segmentation network for Cardiac MRI. -- Adaptive Unrolling Applied to the CMRxRecon2024 Callenge. -- Reducing the number of leads for ECG Imaging with Graph Neural Networks and meaningful latent space. -- Rotor Core Projection Ablation (RCPA): Novel Computational Approach to Catheter Ablation Therapy for Atrial Fibrillation. -- Automated pipeline for regional epicardial adipose tissue distribution analysis in the left atrium. -- Low-Rank Conjugate Gradient-Net for Accelerated Cardiac MR Imaging. -- SBAW-Net: Segmentation of Bi-Atria and Wall Network - Offering Valuable Insights into Challenge Data. -- ResNet-based Convolutional Framework for Segmenting Left Atrial Scars and Cavities. -- EAT-Mamba: Epicardial Adipose Tissue Segmentation from Multi-modal Dixon MRI. -- Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging. -- Exploring CNN and Transformer Architectures for Multi-class Bi-Atrial Segmentation from Late Gadolinium-Enhanced MRI. -- EigenBoundaries for the temporally regularized segmentation of echocardiographic images. -- Dynamic Cardiac MRI Reconstruction via Separate Optimization of K-space and Hybrid-domian Spatial-temporal Feature Fusion. -- an Interpretable Learning of Risk Explain Ventricular Arrhythmia Mechanism. -- 3D Left Ventricular Reconstruction from 2D Echocardiograms for Reliable Volume Estimation. -- Comparing Left Atrial Spontaneous Echo Contrast Intensity with Gaussian Process Emulator Predictions. -- UPCMR: A Universal Prompt-guided Model for Random Sampling Cardiac MRI Reconstruction. -- An All-in-one Approach for Accelerated Cardiac MRI Reconstruction. -- Improving the Scan-rescan Precision of AI-based CMR Biomarker Estimation |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2504300443057.495980268040 DOI: 10.1007/978-3-031-87756-8 |
| URL | https://doi.org/10.1007/978-3-031-87756-8 |
| ISBN/Einband/Preis | 978-3-031-87756-8 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15448 |
| DDC-Notation | 616.075 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 610 Medizin, Gesundheit |
| Online-Zugriff | Archivobjekt öffnen |
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