| A pipeline for the generation of realistic 3D synthetic echocardiographic sequences: methodology and open-access database M Alessandrini, M De Craene, O Bernard, S Giffard-Roisin, P Allain, ... IEEE transactions on medical imaging 34 (7), 1436-1451, 2015 | 140 | 2015 |
| A rule‐based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts R Doste, D Soto‐Iglesias, G Bernardino, A Alcaine, R Sebastian, ... International journal for numerical methods in biomedical engineering 35 (4 …, 2019 | 122 | 2019 |
| Tropical cyclone track forecasting using fused deep learning from aligned reanalysis data S Giffard-Roisin, M Yang, G Charpiat, C Kumler Bonfanti, B Kégl, ... Frontiers in big Data 3, 1, 2020 | 105 | 2020 |
| Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping S Giffard-Roisin, T Jackson, L Fovargue, J Lee, H Delingette, R Razavi, ... IEEE Transactions on Biomedical Engineering 64 (9), 2206-2218, 2017 | 90 | 2017 |
| A framework for the generation of realistic synthetic cardiac ultrasound and magnetic resonance imaging sequences from the same virtual patients Y Zhou, S Giffard-Roisin, M De Craene, S Camarasu-Pop, J D’Hooge, ... IEEE transactions on medical imaging 37 (3), 741-754, 2017 | 50 | 2017 |
| Transfer Learning From Simulations on a Reference Anatomy for ECGI in Personalized Cardiac Resynchronization Therapy S Giffard-Roisin, H Delingette, T Jackson, J Webb, L Fovargue, J Lee, ... IEEE Transactions on Biomedical Engineering 66 (2), 343-353, 2019 | 45 | 2019 |
| Testing machine learning models for seismic damage prediction at a regional scale using building-damage dataset compiled after the 2015 Gorkha Nepal earthquake S Ghimire, P Guéguen, S Giffard-Roisin, D Schorlemmer Earthquake Spectra 38 (4), 2970-2993, 2022 | 31 | 2022 |
| Variational Autoencoder Anomaly-Detection of Avalanche Deposits in Satellite SAR Imagery S Sinha, S Giffard-Roisin, F Karbou, M Deschatres, A Karas, N Eckert, ... Proceedings of the 10th International Conference on Climate Informatics, 113-119, 2020 | 23 | 2020 |
| Designing Convolutional Neural Network Pipeline for Near‐Fault Earthquake Catalog Extension Using Single‐Station Waveforms J Majstorović, S Giffard‐Roisin, P Poli Journal of Geophysical Research: Solid Earth 126 (7), e2020JB021566, 2021 | 22 | 2021 |
| Automatic color detection-based method applied to sentinel-1 sar images for snow avalanche debris monitoring A Karas, F Karbou, S Giffard-Roisin, P Durand, N Eckert IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021 | 21 | 2021 |
| Fused deep learning for hurricane track forecast from reanalysis data S Giffard-Roisin, M Yang, G Charpiat, B Kégl, C Monteleoni Climate Informatics Workshop Proceedings 2018, 69-72, 2018 | 19 | 2018 |
| Can avalanche deposits be effectively detected by deep learning on sentinel-1 satellite sar images? S Sinha, S Giffard-Roisin, F Karbou, M Deschatres, A Karas, N Eckert, ... Climate Informatics, 2019 | 18 | 2019 |
| Classification of red cell dynamics with convolutional and recurrent neural networks: a sickle cell disease case study M Darrin, A Samudre, M Sahun, S Atwell, C Badens, A Charrier, E Helfer, ... Scientific Reports 13 (1), 745, 2023 | 17 | 2023 |
| Deep Learning for Hurricane Track Forecasting from Aligned Spatio-temporal Climate Datasets S Giffard-Roisin, M Yang, G Charpiat, B Kégl, C Monteleoni Modeling and decision-making in the spatiotemporal domain NIPS workhop, 2018 | 17 | 2018 |
| Smoothed particle hydrodynamics for electrophysiological modeling: an alternative to finite element methods E Lluch, R Doste, S Giffard-Roisin, A This, M Sermesant, O Camara, ... Functional Imaging and Modelling of the Heart: 9th International Conference …, 2017 | 15 | 2017 |
| Sparse bayesian non-linear regression for multiple onsets estimation in non-invasive cardiac electrophysiology S Giffard-Roisin, H Delingette, T Jackson, L Fovargue, J Lee, A Rinaldi, ... Functional Imaging and Modelling of the Heart: 9th International Conference …, 2017 | 13 | 2017 |
| Seismic source characterization from GNSS data using deep learning G Costantino, S Giffard‐Roisin, D Marsan, L Marill, M Radiguet, MD Mura, ... Journal of Geophysical Research: Solid Earth, e2022JB024930, 2022 | 12 | 2022 |
| Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging M Alessandrini, B Heyde, S Giffard-Roisin, H Delingette, M Sermesant, ... 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 756-759, 2015 | 12 | 2015 |
| Detecting avalanche deposits using variational autoencoder on Sentinel-1 satellite imagery S Sinha, S Giffard-Roisin, F Karbou, M Deschâtres, A Karas, N Eckert, ... NeurIPS 2019 Workshop: Tackling Climate Change with Machine Learning NeurIPS …, 2019 | 10 | 2019 |
| 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, ... Functional Imaging and Modelling of the Heart: 9th International Conference …, 2017 | 9 | 2017 |
