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Publications of Buntheng Ly
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Buntheng Ly.
Deep learning on large clinical databases for image-based predictions of cardiac arrhythmias.
Theses,
Université Côte d'Azur,
December 2022.
Keyword(s): Cardiac arrhythmia,
Artificial intelligence,
Explainable learning,
Cardiac imaging,
Multi-modality,
Arythmie cardiaque,
Intelligence artificielle,
Modèle explicable,
Imagerie cardiaque,
Multi-modalité.
[bibtex-entry]
Articles in journal, book chapters |
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Buntheng Ly,
Mihaela Pop,
Hubert Cochet,
Nicolas Duchateau,
Declan O'regan,
and Maxime Sermesant.
Outcome Prediction.
In AI and Big Data in Cardiology : A Practical Guide,
pages 105-133.
Springer International Publishing,
May 2023.
[bibtex-entry]
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Tania Marina Bacoyannis,
Buntheng Ly,
H Cochet,
and Maxime Sermesant.
Deep learning formulation of ECGI evaluated on clinical data.
EP-Europace,
24(Supplement_1),
May 2022.
Keyword(s): Electrocardiography,
Inverse Problem,
Deep learning,
Computational Modelling,
Generative Model,
Data Processing,
Clinical Evaluation.
[bibtex-entry]
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Mathilde Merle,
Florent Collot,
Julien Castelneau,
Pauline Migerditichan,
Mehdi Juhoor,
Buntheng Ly,
Valery Ozenne,
Bruno Quesson,
Nejib Zemzemi,
Yves Coudière,
Pierre Jaïs,
Hubert Cochet,
and Maxime Sermesant.
MUSIC: Cardiac Imaging, Modelling and Visualisation Software for Diagnosis and Therapy.
Applied Sciences,
12(12):6145,
June 2022.
Keyword(s): cardiac imaging,
multimodal,
electrophysiology,
deep learning,
biophysical modelling,
inverse problems.
[bibtex-entry]
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M Nuñez-Garcia,
S Finsterbach,
Buntheng Ly,
Marco Lorenzi,
H Cochet,
and Maxime Sermesant.
Long-term remodelling and arrhythmogenicity after myocardial infarction using a novel image-based estimator: the Scar Maturation Score.
EP-Europace,
24(Supplement_1),
May 2022.
[bibtex-entry]
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Tania Bacoyannis,
Buntheng Ly,
Nicolas Cedilnik,
Hubert Cochet,
and Maxime Sermesant.
Deep Learning Formulation of ECGI Integrating Image & Signal Information with Data-driven Regularisation.
EP-Europace,
23(Supplement_1):i55-i62,
March 2021.
Keyword(s): Electrocardiographic Imaging,
Inverse Problem,
Deep learning,
Computational Modelling,
Generative Model.
[bibtex-entry]
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Buntheng Ly,
Sonny Finsterbach,
Marta Nuñez-Garcia,
Pierre Jaïs,
Damien Garreau,
Hubert Cochet,
and Maxime Sermesant.
Interpretable Prediction of Post-Infarct Ventricular Arrhythmia using Graph Convolutional Network.
In STACOM 2022 - 13th Workhop on Statistical Atlases and Computational Modelling of the Heart,
Singapore, Singapore,
September 2022.
Keyword(s): Graph Neural Network,
Ventricular Arrhythmia,
Interpretable AI,
Cardiac CT.
[bibtex-entry]
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Francisco J Burgos-Fernández,
Buntheng Ly,
Fernando Dìaz-Doutón,
Meritxell Vilaseca,
Jaume Pujol,
and Maxime Sermesant.
Automatic classification of multispectral eye fundus images using deep learning.
In Libro de Resúmenes RNO2021,
Online, Spain,
November 2021.
[bibtex-entry]
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Buntheng Ly,
Sonny Finsterbach,
Marta Nuñez-Garcia,
Hubert Cochet,
and Maxime Sermesant.
Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning.
In FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart,
volume 12738 of Lecture Notes in Computer Science,
Stanford, United States,
pages 461-470,
June 2021.
Springer International Publishing.
Keyword(s): Conditional-VAE,
Sustained Ventricular Arrhythmia,
CTcardiac imaging,
Myocardium thickness,
Image Classification.
[bibtex-entry]
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Buntheng Ly,
Hubert Cochet,
and Maxime Sermesant.
Style Data Augmentation for Robust Segmentation of Multi-Modality Cardiac MRI.
In STACOM 2019 - 10th Workhop on Statistical Atlases and Computational Modelling of the Heart,
Shenzhen, China,
October 2019.
Keyword(s): Deep Learning,
Image segmentation,
Cardiac Magnetic Resonance Imaging,
Multi-modality,
Late Gadolinium Enhanced.
[bibtex-entry]
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Francisco J Burgos-Fernandez,
Buntheng Ly,
Fernando Dìaz-Doutón,
Meritxell Vilaseca,
Jaume Pujol,
and Maxime Sermesant.
Deep learning for eye fundus diagnosis based on multispectral imaging.
ARVO 2022 - Annual meeting of the Association for Research in Vision and Ophthalmology,
May 2022.
Note: Poster.
[bibtex-entry]
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Last modified: Fri Dec 13 12:30:04 2024
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