Publications de Ntorina Thanou

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

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

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

Tertiary Lymphoid Structures Generation Through Graph-Based Diffusion

Pascal Frossard, Ntorina Thanou

Graph-based representation approaches have been proven to be successful in the analysis of biomedical data due to their capability of capturing intricate dependencies between biological entities, such as the spatial organization of different cell types in ...

Springer International Publishing Ag2024

Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction

Pascal Frossard, Emmanuel Abbé, Ortal Yona Senouf, Ntorina Thanou, Ivan-Daniel Sievering

Goal: In patients with coronary artery disease, the prediction of future cardiac events such as myocardial infarction (MI) remains a major challenge. In this work, we propose a novel anatomy-informed multimodal deep learning framework to predict future MI ...

2024

Graph Signal Separation Based on Smoothness or Sparsity in the Frequency Domain

Ntorina Thanou

In this paper, we study the problem of demixing an observed signal, which is the summation of a set of signals that live on a multi-layer graph, by proposing several methods to decompose the observed signal into structured components. For this purpose, we ...

2023

Towards AI-assisted cardiology: a reflection on the performance and limitations of using large language models in clinical decision-making

Emmanuel Abbé, Mehdi Ali Gadiri, Ntorina Thanou

Europa Edition2023

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

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

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

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Benjamin Bejar Haro, Ekaterina Krymova, Ntorina Thanou, Nicola Parolini, Daniel Rodrigo Lopez, Andrea Kraus, Daniel Lopez, David Kraus, Markus Scholz, Tao Sun

Background:Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields and recent insights in infectious disease epidemiology, one can maximise the predictive p ...

eLIFE SCIENCES PUBL LTD2023

Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness

Ntorina Thanou

Graph Signal Processing (GSP) is an emerging research field that extends the concepts of digital signal processing to graphs. GSP has numerous applications in different areas such as sensor networks, machine learning, and image processing. The sampling and ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Attention-based learning of views fusion applied to myocardial infarction diagnosis from x-ray CT

Pascal Frossard, Emmanuel Abbé, Ortal Yona Senouf, Olivier Muller, Ntorina Thanou, Stéphane Fournier, Jakub Jan Gwizdala, David Meier

2022

Trend estimation and short-term forecasting of COVID-19 cases and deaths worldwide

Benjamin Bejar Haro, Ekaterina Krymova, Ntorina Thanou, Guillaume Romain Obozinski, Christine Choirat

Since the beginning of the COVID-19 pandemic, many dashboards have emerged as useful tools to monitor its evolution, inform the public, and assist governments in decision-making. Here, we present a globally applicable method, integrated in a daily updated ...

National Academy of Sciences2022