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Publications of Jaume Banus
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Jaume Banus.
Heart & Brain. Linking cardiovascular pathologies and neurodegeneration with a combined biophysical and statistical methodology.
Theses,
Université Côte d'Azur,
May 2021.
Keyword(s): Medical imaging,
Cardiovascular modelling,
Neurodegeneration,
Lumped models,
Machine learning,
Variational autoencoder,
Gaussian process,
Personalisation,
Imagerie médicale,
Modélisation cardiovasculaire,
Neurodégénérescence,
Modèles regroupés,
Apprentissage automatique,
Autoencodeur variationnel,
Processus Gaussien,
Personnalisation.
[bibtex-entry]
Articles in journal, book chapters |
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Jaume Banus,
Marco Lorenzi,
Oscar Camara,
and Maxime Sermesant.
Biophysics-based statistical learning: Application to heart and brain interactions.
Medical Image Analysis,
72,
August 2021.
Keyword(s): Lumped model,
Cardiovascular modelling,
Personalisation,
White matter damage,
Atrial fibrillation,
Heart-Brain interaction.
[bibtex-entry]
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Jaume Banus,
Maxime Sermesant,
Oscar Camara,
and Marco Lorenzi.
Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets.
In MICCAI 2020 - 23th International Conference on Medical Image Computing and Computer Assisted Intervention,
Lima / Virtual, Peru,
pages 478-486,
October 2020.
Keyword(s): Gaussian Process,
Variational Inference,
Lumped model,
Missing features,
Biomechanical simulation.
[bibtex-entry]
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Jaume Banus,
Marco Lorenzi,
Oscar Camara,
and Maxime Sermesant.
Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions.
In FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart,
Bordeaux, France,
pages 285-293,
June 2019.
[bibtex-entry]
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Yingyu Yang,
Stephane Gillon,
Jaume Banus,
Pamela Moceri,
and Maxime Sermesant.
Non-Invasive Pressure Estimation in Patients with Pulmonary Arterial Hypertension: Data-driven or Model-based?.
In STACOM 2019 - 10th Workshop on Statistical Atlases and Computational Modelling of the Heart,
Shenzhen, China,
October 2019.
Keyword(s): Cardiac modelling,
Machine learning,
Pulmonary hypertension.
[bibtex-entry]
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