Dorina Thanou

Dorina Thanou

École Polytechnique Fédérale de Lausanne

H-index: 20

Europe-Switzerland

About Dorina Thanou

Dorina Thanou, With an exceptional h-index of 20 and a recent h-index of 18 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of machine learning, signal processing, data science, AI for health.

His recent articles reflect a diverse array of research interests and contributions to the field:

Graph signal separation based on smoothness or sparsity in the frequency domain

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

Anatomy-informed multimodal learning for myocardial infarction prediction

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

Tertiary Lymphoid Structures Generation Through Graph-Based Diffusion

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

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

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

Dorina Thanou Information

University

Position

___

Citations(all)

2444

Citations(since 2020)

1986

Cited By

1190

hIndex(all)

20

hIndex(since 2020)

18

i10Index(all)

25

i10Index(since 2020)

24

Email

University Profile Page

École Polytechnique Fédérale de Lausanne

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Dorina Thanou Skills & Research Interests

machine learning

signal processing

data science

AI for health

Top articles of Dorina Thanou

Title

Journal

Author(s)

Publication Date

Graph signal separation based on smoothness or sparsity in the frequency domain

IEEE Transactions on Signal and Information Processing over Networks

Sara Mohammadi

Massoud Babaie-Zadeh

Dorina Thanou

2023/3/8

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

Open Heart

Thabo Mahendiran

Dorina Thanou

Ortal Senouf

David Meier

Nicolas Dayer

...

2023/1/1

Anatomy-informed multimodal learning for myocardial infarction prediction

medRxiv

Ivan-Daniel Sievering

Ortal Senouf

Thabo Mahendiran

David Nanchen

Stephane Fournier

...

2023

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

Eurointervention

Adil Salihu

Mehdi Ali Gadiri

Ioannis Skalidis

David Meier

Denise Auberson

...

2023/12/4

Tertiary Lymphoid Structures Generation Through Graph-Based Diffusion

Manuel Madeira

Dorina Thanou

Pascal Frossard

2023/10/8

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

Elife

Katharine Sherratt

Hugo Gruson

Helen Johnson

Rene Niehus

Bastian Prasse

...

2023/4/21

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

Proceedings of the National Academy of Sciences

Ekaterina Krymova

Benjamín Béjar

Dorina Thanou

Tao Sun

Elisa Manetti

...

2022

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

Jakub Gwizdala

Ortal Senouf

Denise Auberson

David Meier

David Rotzinger

...

2022/12/2

Reconstruction of time-varying graph signals via Sobolev smoothness

IEEE Transactions on Signal and Information Processing over Networks

Jhony H Giraldo

Arif Mahmood

Belmar Garcia-Garcia

Dorina Thanou

Thierry Bouwmans

2022/3/8

Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder

Medical image analysis

Sarah Itani

Dorina Thanou

2021/4/1

A graph signal processing framework for the classification of temporal brain data

Sarah Itani

Dorina Thanou

2021/1/18

Techniques for encoding and decoding digital data using graph-based transformations

2021/9/14

Predicting future myocardial infarction from angiographies with deep learning

Advances in Neural Information Processing Systems 34 (NeurIPS 2021)

Dorina Thanou

Ortal Yona Senouf

Omar Raita

Emmanuel Abbé

Pascal Frossard

...

2021

Graph learning

Xiaowen Dong

Dorina Thanou

Michael Rabbat

Pascal Frossard

2021/8/5

Interpretable stability bounds for spectral graph filters

Henry Kenlay

Dorina Thanou

Xiaowen Dong

2021/7/1

On the stability of graph convolutional neural networks under edge rewiring

Henry Kenlay

Dorina Thanou

Xiaowen Dong

2021/6/6

Mask combination of multi-layer graphs for global structure inference

IEEE Transactions on Signal and Information Processing over Networks

Eda Bayram

Dorina Thanou

Elif Vural

Pascal Frossard

2020/5/18

On the stability of polynomial spectral graph filters

Henry Kenlay

Dorina Thanou

Xiaowen Dong

2020/5/4

Height and Weight Estimation from Unconstrained Images

Can Yilmaz Altinigne

Dorina Thanou

Radhakrishna Achanta

2020/5/4

node2coords: Graph representation learning with wasserstein barycenters

IEEE Transactions on Signal and Information Processing over Networks

Effrosyni Simou

Dorina Thanou

Pascal Frossard

2020/12/2

See List of Professors in Dorina Thanou University(École Polytechnique Fédérale de Lausanne)

Co-Authors

H-index: 84
Michael Bronstein

Michael Bronstein

Imperial College London

H-index: 76
Pierre Vandergheynst

Pierre Vandergheynst

École Polytechnique Fédérale de Lausanne

H-index: 66
Pascal Frossard

Pascal Frossard

École Polytechnique Fédérale de Lausanne

H-index: 39
Daniel Kressner

Daniel Kressner

École Polytechnique Fédérale de Lausanne

H-index: 25
Xiaowen Dong

Xiaowen Dong

University of Oxford

H-index: 25
Andreas Loukas

Andreas Loukas

École Polytechnique Fédérale de Lausanne

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