Philippe Moireau
researcher
Facts
10 properties- Instance of
- human
- Date of birth
- 1979
- Occupation
- researcher
- Educated at
- École polytechnique
- Official website
- m3disim.saclay.inria.fr[9]
- Doctoral advisor
- Dominique Chapelle, Patrick Le Tallec, Dominique Chapelle[4][5]
🏷️ Also known as
en Philippe Moireau
🔖 Identifiers · 10
- ISNI
- 0000000114844747
- ORCID iD
- 0000-0001-9996-5213
- VIAF cluster ID
- 167447391
- Google Scholar author ID
- bxJ_jc4AAAAJ
- HAL author ID
- philippe-moireau
- IdRef ID
- 131936603
- MR Author ID
- 743129
- Mathematics Genealogy Project ID
- 245081
- Web of Science ResearcherID
- D-1282-2010
- X (Twitter) username
- PhilippeMoireau
🔗 Connections
Author of 8
A discrete-time optimal filtering approach for non-linear systems as a stable discretization of the Mortensen observer,
A flexible framework for sequential estimation of model parameters in computational hemodynamics,
A Luenberger observer for reaction–diffusion models with front position data,
Combining data assimilation and machine learning to build data‐driven models for unknown long time dynamics—Applications in cardiovascular modeling,
Front Shape Similarity Measure for Shape-Oriented Sensitivity Analysis and Data Assimilation for Eikonal Equation,
In-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI,
Sequential data assimilation for mechanical systems with complex image data: application to tagged-MRI in cardiac mechanics,
State-parameter estimation approach for data-driven wildland fire spread modeling: Application to the 2012 RxCADRE S5 field-scale experiment
← Authored by 8
A discrete-time optimal filtering approach for non-linear systems as a stable discretization of the Mortensen observer,
A flexible framework for sequential estimation of model parameters in computational hemodynamics,
A Luenberger observer for reaction–diffusion models with front position data,
Combining data assimilation and machine learning to build data‐driven models for unknown long time dynamics—Applications in cardiovascular modeling,
Front Shape Similarity Measure for Shape-Oriented Sensitivity Analysis and Data Assimilation for Eikonal Equation,
In-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI,
Sequential data assimilation for mechanical systems with complex image data: application to tagged-MRI in cardiac mechanics,
State-parameter estimation approach for data-driven wildland fire spread modeling: Application to the 2012 RxCADRE S5 field-scale experiment
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