Sophie Giffard-Roisin
Orcid: 0000-0001-5606-145X
According to our database1,
Sophie Giffard-Roisin
authored at least 23 papers
between 2014 and 2024.
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Bibliography
2024
IEEE Geosci. Remote. Sens. Lett., 2024
2023
A New Deep-Learning Approach for the Sub-Pixel Registration of Satellite Images Containing Sharp Displacement Discontinuities.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Deep learning multimodal methods for geophysical inversion : application to glacier ice thickness estimation.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023
2022
Automatic Color Detection-Based Method Applied to Sentinel-1 SAR Images for Snow Avalanche Debris Monitoring.
IEEE Trans. Geosci. Remote. Sens., 2022
Sub-pixel Optical Satellite Image Registration for Ground Deformation Using Deep Learning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Monitoring Snow Avalanches Activities Inferred from Sentinel-1 SAR Images at Regional Scale.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data.
Frontiers Big Data, 2020
Variational Autoencoder Anomaly-Detection of Avalanche Deposits in Satellite SAR Imagery.
Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020
2019
Transfer Learning From Simulations on a Reference Anatomy for ECGI in Personalized Cardiac Resynchronization Therapy.
IEEE Trans. Biomed. Eng., 2019
2018
A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences From the Same Virtual Patients.
IEEE Trans. Medical Imaging, 2018
A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts.
CoRR, 2018
2017
Non-invasive Personalisation of Cardiac Electrophysiological Models from Surface Electrograms. (Personnalisation Non-invasive de Modèles Electrophysiologiques Cardiaques à Partir d'Electrogrammes Surfaciques).
PhD thesis, 2017
Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping.
IEEE Trans. Biomed. Eng., 2017
Smoothed Particle Hydrodynamics for Electrophysiological Modeling: An Alternative to Finite Element Methods.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
2016
Estimation of Purkinje Activation from ECG: An Intermittent Left Bundle Branch Block Study.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2016
Novel Framework to Integrate Real-Time MR-Guided EP Data with T1 Mapping-Based Computational Heart Models.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2016
2015
A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-Access Database.
IEEE Trans. Medical Imaging, 2015
Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014