![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Advanced Imaging Integration for Catheter Ablation of Ventricular Tachycardia
Imaging plays a crucial role in the therapy of ventricular tachycardia (VT). We offer an overview of the different methods and provide information on their use in a clinical setting.
-
Chapter
Outcome Prediction
This chapter focuses on how we can best predict the future health of patients, known as prognosis. This encompasses areas such as risk prediction and predicting response to treatment. A clinical opinion piece ...
-
Chapter and Conference Paper
Interpretable Prediction of Post-Infarct Ventricular Arrhythmia Using Graph Convolutional Network
Heterogeneity of left ventricular (LV) myocardium infarction scar plays an important role as anatomical substrate in ventricular arrhythmia (VA) mechanism. LV myocardium thinning, as observed on cardiac comput...
-
Chapter and Conference Paper
Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning
The aim of this study is to create an automatic framework for sustained ventricular arrhythmia (VA) prediction using cardiac computed tomography (CT) images. We built an image processing pipeline and a deep le...
-
Chapter and Conference Paper
Style Data Augmentation for Robust Segmentation of Multi-modality Cardiac MRI
We propose a data augmentation method to improve the segmentation accuracy of the convolutional neural network on multi-modality cardiac magnetic resonance (CMR) dataset. The strategy aims to reduce over-fitti...