Publications de Thabodhan Mahendiran

AngioPy segmentation: An open-source, user-guided deep learning tool for coronary artery segmentation

Emmanuel Abbé, Ntorina Thanou, Ortal Yona Senouf, Edward Carlo Giorgio Andò, Thabodhan Mahendiran

This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional c ...

Elsevier BV2024

PyTorch 2 Model for the prediction of single-artery segmentations for "AngioPy segmentation: An open-source, user-guided deep learning tool for coronary artery segmentation"

Edward Carlo Giorgio Andò, Thabodhan Mahendiran

These are pytorch model weights for the angiopy-segmentation deep learning model, descriped in a paper published in 2024 in the International Journal of Cardiology: AngioPy segmentation: An open-source, user-guided deep learning tool for coronary artery se ...

Zenodo2024

ChatGPT takes on the European Exam in Core Cardiology: an artificial intelligence success story?

Emmanuel Abbé, Stéphane Fournier, Thabodhan Mahendiran, Olivier Muller

Chat Generative Pre-trained Transformer (ChatGPT) is currently a trending topic worldwide triggering extensive debate about its predictive power, its potential uses, and its wider implications. Recent publications have demonstrated that ChatGPT can correct ...

Oxford Univ Press2023

Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study

Pascal Frossard, Emmanuel Abbé, Ntorina Thanou, Omar Raita, Ortal Yona Senouf, Thabodhan Mahendiran

BackgroundAngiographic parameters can facilitate the risk stratification of coronary lesions but remain insufficient in the prediction of future myocardial infarction (MI).AIMSWe compared the ability of humans, angiographic parameters and deep learning (DL ...

BMJ PUBLISHING GROUP2023

Anatomy-informed multimodal learning for myocardial infarction prediction

Pascal Frossard, Emmanuel Abbé, Stéphane Fournier, Ntorina Thanou, Ivan-Daniel Sievering, Ortal Yona Senouf, Thabodhan Mahendiran, Olivier Muller

2022

Predicting future myocardial infarction from angiographies with deep learning

Pascal Frossard, Emmanuel Abbé, Stéphane Fournier, Ntorina Thanou, David Meier, Nicolas Dayer, Farhang Aminfar, Omar Raita, Ortal Yona Senouf, Thabodhan Mahendiran, Olivier Muller

In patients with stable Coronary Artery Disease (CAD), the identification of lesions which will be responsible of a myocardial infarction (MI) during follow-up remains a daily challenge. In this work, we propose to predict culprit stenosis by applying a de ...

2021