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Publications of Buntheng Ly

Thesis

  1. 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

  1. 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]


  2. 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]


  3. 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]


  4. 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]


  5. 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]


Conference articles

  1. 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]


  2. 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]


  3. 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]


  4. 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]


Miscellaneous

  1. 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 Mar 29 12:30:04 2024
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