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Publications of Jaume Banus

Thesis

  1. 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

  1. 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]


Conference articles

  1. 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]


  2. 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]


  3. 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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Last modified: Mon Sep 27 12:30:04 2021
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