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Rocio Cabrera Lozoya
Rocio Cabrera Lozoya
SAP Security Research
Verified email at sap.com
Title
Cited by
Cited by
Year
Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition
J Margeta, A Criminisi, R Cabrera Lozoya, DC Lee, N Ayache
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2017
1042017
Personalization of a cardiac electromechanical model using reduced order unscented Kalman filtering from regional volumes
S Marchesseau, H Delingette, M Sermesant, R Cabrera-Lozoya, ...
Medical image analysis 17 (7), 816-829, 2013
822013
Spatial correlation of action potential duration and diastolic dysfunction in transgenic and drug-induced LQT2 rabbits
KE Odening, BA Jung, CN Lang, RC Lozoya, D Ziupa, M Menza, J Relan, ...
Heart Rhythm 10 (10), 1533-1541, 2013
512013
Model-based Feature Augmentation for Cardiac Ablation Target Learning from Images
RC Lozoya, B Berte, H Cochet, P Jais, N Ayache, M Sermesant
IEEE Transactions on Biomedical Engineering, 2018
312018
Biophysical modeling predicts ventricular tachycardia inducibility and circuit morphology: a combined clinical validation and computer modeling approach
Z Chen, R CABRERA‐LOZOYA, J Relan, M Sohal, A Shetty, R Karim, ...
Journal of cardiovascular electrophysiology 27 (7), 851-860, 2016
312016
Image-based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms
R Cabrera-Lozoya, B Berte, H Cochet, P Jaïs, N Ayache, M Sermesant
IEEE Transactions on Biomedical Engineering 64 (7), 1446-1454, 2017
212017
A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias
R Doste, D Soto-Iglesias, G Bernardino, R Sebastian, S Giffard-Roisin, ...
International Conference on Functional Imaging and Modeling of the Heart …, 2017
92017
Confidence-based training for clinical data uncertainty in image-based prediction of cardiac ablation targets
R Cabrera-Lozoya, J Margeta, L Le Folgoc, Y Komatsu, B Berte, J Relan, ...
International MICCAI Workshop on Medical Computer Vision, 148-159, 2014
82014
Radiofrequency ablation planning for cardiac arrhythmia treatment using modeling and machine learning approaches
RC Lozoya
Université Nice Sophia Antipolis, 2015
7*2015
Assessing the relevance of multi-planar MRI acquisitions for prostate segmentation using deep learning techniques
RC Lozoya, A Iannessi, J Brag, S Patriti, E Oubel
Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018
52018
Local late gadolinium enhancement features to identify the electrophysiological substrate of post-infarction ventricular tachycardia: a machine learning approach
RC Lozoya, J Margeta, L Le Folgoc, Y Komatsu, B Berte, JS Relan, ...
Journal of Cardiovascular Magnetic Resonance 17 (S1), P234, 2015
32015
Kawal Rhode, Nicholas Ayache, Peter Taggart, Christopher Aldo Rinaldi, Maxime Sermesant and Reza Razavi. Biophysical modelling predicts ventricular tachycardia inducibility and …
Z Chen, R Cabrera-Lozoya, J Relan, M Sohal, A Shetty, R Karim, ...
Journal of cardiovascular electrophysiology 27 (7), 851-860, 2016
22016
Radiofrequency ablation planning for cardiac arrhythmia treatment using biophysical modeling and machine learning approaches
RC Lozoya
Universite Nice Sophia Antipolis, 2015
22015
Kawal Rhode, Nicholas Ayache, Peter Taggart, Aldo Rinaldi, Maxime Sermesant and Reza Razavi
R Cabrera-Lozoya, Z Chen, J Relan, M Sohal, A Shetty, R Karim, ...
Biophysical modelling to predict ventricular tachycardia inducibility and …, 2015
22015
A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias
R Sebastian, S Giffard-Roisin, R Cabrera-Lozoya, M Sermesant, ...
Functional Imaging and Modelling of the Heart: 9th International Conference …, 2017
2017
Planification de l’ablation radiofréquence des arythmies cardiaques en combinant modélisation et apprentissage automatique
R Cabrera Lozoya
Nice, 2015
2015
Biological Basis of Medical Imaging Literature Review of Medical Image Post-Processing Methods
RC Lozoya, MR Dastjerdi, G Lemaitre
3D Digitization Project: 3D Tracking using Active Appearance Models
G Lemaıtre, M Rastgoo, RC Lozoya
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