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    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.

    Christopher Kowalewski, Ciro Ascione, Marta Nuñez-Garcia in Current Cardiology Reports (2023)

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    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 ...

    Buntheng Ly, Mihaela Pop, Hubert Cochet, Nicolas Duchateau in AI and Big Data in Cardiology (2023)

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    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...

    Buntheng Ly, Sonny Finsterbach in Statistical Atlases and Computational Mode… (2022)

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    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...

    Buntheng Ly, Sonny Finsterbach in Functional Imaging and Modeling of the Hea… (2021)

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    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...

    Buntheng Ly, Hubert Cochet, Maxime Sermesant in Statistical Atlases and Computational Mode… (2020)