Evaluation of Personalised Canine Electromechanical Models. - Sophie Giffard-Roisin; Stéphanie Marchesseau; Loïc Le Folgoc; Hervé Delingette; Maxime Sermesant (STACOM, 2014)

Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging. - Martino Alessandrini; Brecht Heyde; Sophie Giffard-Roisin; Herve Delingette; Maxime Sermesant; Pascal Allain; Olivier Bernard 001; Mathieu De Craene; Jan D'hooge (ISBI, 2015)

A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-Access Database. - Martino Alessandrini; Mathieu De Craene; Olivier Bernard 001; Sophie Giffard-Roisin; Pascal Allain; Irina Wächter-Stehle; Jürgen Weese; Eric Saloux; Hervé Delingette; Maxime Sermesant; Jan D'hooge (IEEE Trans. Medical Imaging, 2015)

Novel Framework to Integrate Real-Time MR-Guided EP Data with T1 Mapping-Based Computational Heart Models. - Sebastian Ferguson; Maxime Sermesant; Samuel O. Oduneye; Sophie Giffard-Roisin; Michael V. Truong; Labonny Biswas; Nicholas Ayache; Graham A. Wright; Mihaela Pop (STACOM@MICCAI, 2016)

Estimation of Purkinje Activation from ECG: An Intermittent Left Bundle Branch Block Study. - Sophie Giffard-Roisin; Lauren Fovargue; Jessica Webb; Roch Molléro; Jack Lee; Hervé Delingette; Nicholas Ayache; Reza Razavi; Maxime Sermesant (STACOM@MICCAI, 2016)

A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias. - Rubén Doste; David Soto-Iglesias; Gabriel Bernardino; Rafael Sebastián; Sophie Giffard-Roisin; Rocío Cabrera Lozoya; Maxime Sermesant; Antonio Berruezo; Damian Sánchez-Quintana; Oscar Camara 001 (FIMH, 2017)

Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology. - Sophie Giffard-Roisin; Hervé Delingette; Thomas Jackson; Lauren Fovargue; Jack Lee; C. Aldo Rinaldi; Nicholas Ayache; Reza Razavi; Maxime Sermesant (FIMH, 2017)

Smoothed Particle Hydrodynamics for Electrophysiological Modeling: An Alternative to Finite Element Methods. - Èric Lluch; Rubén Doste; Sophie Giffard-Roisin; Alexandre This; Maxime Sermesant; Oscar Camara 001; Mathieu De Craene; Hernán G. Morales (FIMH, 2017)

Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping. - Sophie Giffard-Roisin; Thomas Jackson; Lauren Fovargue; Jack Lee; Herve Delingette; Reza Razavi; Nicholas Ayache; Maxime Sermesant (IEEE Trans. Biomed. Eng., 2017)

Non-invasive Personalisation of Cardiac Electrophysiological Models from Surface Electrograms. (Personnalisation Non-invasive de Modèles Electrophysiologiques Cardiaques à Partir d'Electrogrammes Surfaciques). - Sophie Giffard-Roisin (2017)

A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts. - Rubén Doste; David Soto-Iglesias; Gabriel Bernardino; Alejandro Alcaine; Rafael Sebastián; Sophie Giffard-Roisin; Maxime Sermesant; Antonio Berruezo; Damian Sánchez-Quintana; Oscar Camara 001 (CoRR, 2018)

A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences From the Same Virtual Patients. - Yitian Zhou; Sophie Giffard-Roisin; Mathieu De Craene; Sorina Camarasu-Pop; Jan D'hooge; Martino Alessandrini; Denis Friboulet; Maxime Sermesant; Olivier Bernard 001 (IEEE Trans. Medical Imaging, 2018)

Transfer Learning From Simulations on a Reference Anatomy for ECGI in Personalized Cardiac Resynchronization Therapy. - Sophie Giffard-Roisin; Herve Delingette; Thomas Jackson; Jessica Webb; Lauren Fovargue; Jack Lee; Christopher A. Rinaldi; Reza Razavi; Nicholas Ayache; Maxime Sermesant (IEEE Trans. Biomed. Eng., 2019)

Variational Autoencoder Anomaly-Detection of Avalanche Deposits in Satellite SAR Imagery. - Saumya Sinha; Sophie Giffard-Roisin; Fatima Karbou; Michael Deschatres; Anna Karas; Nicolas Eckert; Cécile Coléou; Claire Monteleoni (CI, 2020)

Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data. - Sophie Giffard-Roisin; Mo Yang; Guillaume Charpiat; Christina Kumler-Bonfanti; Balázs Kégl; Claire Monteleoni (Frontiers Big Data, 2020)

Monitoring Snow Avalanches Activities Inferred from Sentinel-1 SAR Images at Regional Scale. - Anna Karas; Fatima Karbou; Nicolas Eckert; Sophie Giffard-Roisin; Philippe Durand (IGARSS, 2021)

Sub-pixel Optical Satellite Image Registration for Ground Deformation Using Deep Learning. - Tristan Montagnon; James Hollingsworth; Erwan Pathier; Mathilde Marchandon; Mauro Dalla Mura; Sophie Giffard-Roisin (ICIP, 2022)

Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy. - Limor Gultchin; Vincent Cohen-Addad; Sophie Giffard-Roisin; Varun Kanade; Frederik Mallmann-Trenn (CoRR, 2022)

Automatic Color Detection-Based Method Applied to Sentinel-1 SAR Images for Snow Avalanche Debris Monitoring. - Anna Karas; Fatima Karbou; Sophie Giffard-Roisin; Philippe Durand; Nicolas Eckert (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep learning multimodal methods for geophysical inversion : application to glacier ice thickness estimation. - Lorenzo Lopez Uroz; Alexandre Benoît; Yajing Yan; Christophe Lin-Kwong-Chon; Sophie Giffard-Roisin; Antoine Rabatel (CBMI, 2023)

Characterization of Slow Slip Events from Gnss Data with Deep Learning. - Giuseppe Costantino; Sophie Giffard-Roisin; Mauro Dalla Mura; Anne Socquet (IGARSS, 2023)

A New Deep-Learning Approach for the Sub-Pixel Registration of Satellite Images Containing Sharp Displacement Discontinuities. - Tristan Montagnon; James Hollingsworth; Erwan Pathier; Mathilde Marchandon; Mauro Dalla Mura; Sophie Giffard-Roisin (IGARSS, 2023)

Fast and Accurate Sub-Pixel Displacement Estimation from Optical Satellite Images Using a New Hyper-Realistic Earthquake Database and U-Net Architecture. - Tristan Montagnon; James Hollingsworth; Erwan Pathier; Mathilde Marchandon; Mauro Dalla Mura; Sophie Giffard-Roisin (IGARSS, 2024)

Using Deep Learning for Glacier Thickness Estimation at a Regional Scale. - Lorenzo Lopez Uroz; Yajing Yan; Alexandre Benoît; Antoine Rabatel; Sophie Giffard-Roisin; Christophe Lin-Kwong-Chon (IEEE Geosci. Remote. Sens. Lett., 2024)

Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction. - Giuseppe Costantino; Sophie Giffard-Roisin; Mauro Dalla Mura; Anne Socquet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Exploring Deep Learning for Volcanic Source Inversion. - Lorenzo Lopez Uroz; Yajing Yan; Alexandre Benoît; Fabien Albino; Pierre Bouygues; Sophie Giffard-Roisin; Virginie Pinel (IEEE Trans. Geosci. Remote. Sens., 2024)

MicroFlow: Domain-Specific Optical Flow for Ground Deformation Estimation in Seismic Events. - Juliette Bertrand; Sophie Giffard-Roisin; James Hollingsworth; Julien Mairal (CoRR, 2025)