Publications of Rocìo Cabrera-Lozoya

1. Rocìo Cabrera Lozoya. Radiofrequency ablation planning for cardiac arrhythmia treatment using modeling and machine learning approaches. Theses, Université Nice Sophia Antipolis, September 2015. Keyword(s): Radiofrequency ablation planning, Local abnormal ventricular activities (LAVA), Electroanatomical mapping, Machine learning, Intracardiac electrogram modeling, Cardiac electrophysiology modeling, Activités ventriculaires anormales locales LAVA, Planification d'ablation par radiofréquence, Apprentissage automatique, Modélisation d'électrogrammes intracardiaques, Modélisation de l'électrophysiologie cardiaque. [bibtex-entry]

1. Rocio Cabrera Lozoya, Benjamin Berte, Hubert Cochet, Pierre Jaïs, Nicholas Ayache, and Maxime Sermesant. Model-based Feature Augmentation for Cardiac Ablation Target Learning from Images. IEEE Transactions on Biomedical Engineering, pp 1, March 2018. Keyword(s): Index Terms-radio-frequency ablation planning, cardiac elec-, trophysiology modelling, intracardiac electrogram modelling, electroanatomical mapping. [bibtex-entry]



2. Rocìo Cabrera-Lozoya, Benjamin Berte, Hubert Cochet, Pierre Jaïs, Nicholas Ayache, and Maxime Sermesant. Image-based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms. IEEE Transactions on Biomedical Engineering, PP(99), 2016. Keyword(s): cardiac electrophysiology modelling, radiofrequency ablation planning, intracar-diac electrogram modelling, electroanatomical mapping. [bibtex-entry]



3. Zhong Chen, Rocìo Cabrera-Lozoya, Jatin Relan, Manav Sohal, Anoop Shetty, Rashed Karim, Hervé Delingette, Jaswinder Gill, Kawal Rhode, Nicholas Ayache, Peter Taggart, Christopher Aldo Rinaldi, Maxime Sermesant, and Reza Razavi. Biophysical modelling predicts ventricular tachycardia inducibility and circuit morphology: A combined clinical validation and computer modelling approach. Journal of Cardiovascular Electrophysiology, 27(7):851-860, 2016. Keyword(s): Ventricular tachycardia, computer modelling, APD restitution, conductivity, cardiac magnetic resonance imaging. [bibtex-entry]



4. Jan Margeta, Antonio Criminisi, Rocio Cabrera Lozoya, Daniel C. Lee, and Nicholas Ayache. Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, August 2015. Note: This is an electronic version of an article published inComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualizationon 13 August 2015, by Taylor & Francis, DOI: 10.1080/21681163.2015.1061448.Available online at: http://www.tandfonline.com/10.1080/21681163.2015.1061448. Keyword(s): Transfer learning, Deep learning, Fine-tuning, SSFP, Planes of acquisition, Machine learning, Cardiac magnetic resonance, Convolutional neural networks, Magnetic resonance, Cardiac imaging. [bibtex-entry]



5. Stéphanie Marchesseau, Hervé Delingette, Maxime Sermesant, Rocio Cabrera Lozoya, Catalina Tobon-Gomez, Philippe Moireau, Rosa Maria Figueras I Ventura, Karim Lekadir, Alfredo Hernandez, Mireille Garreau, Erwan Donal, Christophe Leclercq, Simon G. Duckett, Kawal Rhode, Christopher Aldo Rinaldi, Alejandro F. Frangi, Reza Razavi, Dominique Chapelle, and Nicholas Ayache. Personalization of a Cardiac Electromechanical Model using Reduced Order Unscented Kalman Filtering from Regional Volumes. Medical Image Analysis, 17(7):816-829, May 2013. [bibtex-entry]



6. Katja E. Odening, Bernd A. Jung, Corinna N. Lang, Rocio Cabrera Lozoya, David Ziupa, Marius Menza, Jatin Relan, Gerlind Franke, Stefanie Perez Feliz, Gideon Koren, Manfred Zehender, Christoph Bode, Michael Brunner, Maxime Sermesant, and Daniela Föll. Spatial Correlation of Action Potential Duration and Diastolic Dysfunction in Transgenic and Drug-induced LQT2 Rabbits. Heart Rhythm, 10(10):1533-1541, 2013. Note: Focus Issue: Sudden Cardiac Death. [bibtex-entry]

1. Rubén Doste, David Soto-Iglesias, Gabriel Bernardino, Rafael Sebastian, Sophie Giffard-Roisin, Rocìo Cabrera-Lozoya, Maxime Sermesant, Antonio Berruezo, Damián Sánchez-Quintana, and Oscar Camara. A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias. In Lecture Notes in Computer Science, editor, Functional imaging and modelling of the heart 2017 Proceedings, volume 10263 of Functional imaging and modelling of the heart 2017 Proceedings, Toronto, Canada, June 2017. Keyword(s): Outflow tracts, Arrhythmias, Electrophysiological simulations, Rule-based method, Fiber orientation. [bibtex-entry]



2. Rocio Cabrera Lozoya, Jan Margeta, Loic Le Folgoc, Yuki Komatsu, Berte Benjamin, Jatin Relan, Hubert Cochet, Michel Haïssaguerre, Pierre Jais, Nicholas Ayache, and Maxime Sermesant. Confidence-based Training for Clinical Data Uncertainty in Image-based Prediction of Cardiac Ablation Targets. In bigMCV Workshop MICCAI 2014, Boston, United States, September 2014. [bibtex-entry]

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