Author Info
Name
Affiliation
Papers
NEJIB ZEMZEMI
INRIA Paris, Le Chesnay Cedex, France F---78153 and Laboratoire de mathématiques d'Orsay, Université Paris 11, Orsay Cedex, France F-91405
25
Collaborators
Citations 
PageRank 
80
42
12.17
Referers 
Referees 
References 
196
286
68
Search Limit
100286
Title
Citations
PageRank
Year
Virtual FFR Quantified with a Generalized Flow Model Using Windkessel Boundary Conditions.00.342020
Maximal Conductances Ionic Parameters Estimation in Cardiac Electrophysiology Multiscale Modelling.00.342019
Space Rescaling in the Method of Fundamental Solution Improves the ECGI Reconstruction00.342019
A Spatial Adaptation of the Time Delay Neural Network for Solving ECGI Inverse Problem.10.362019
Direct Mapping from Body Surface Potentials to Cardiac Activation Maps Using Neural Networks00.342019
Towards the modeling of the Purkinje/myocardium coupled problem: A well-posedness analysis.00.342019
Effect Of Segmentation Variation On Ecg Imaging00.342018
Identification of Ion Currents Components Generating Field Potential Recorded in MEA From hiPSC-CM.00.342018
A conduction velocity adapted eikonal model for electrophysiology problems with re-excitability evaluation.20.492018
The Heart Recording Conditions Impact The Assessment Of The Electrocardiography Imaging Inverse Solution00.342018
Parameters estimation approach for the MEA/hiPSC-CM asaays00.342017
An Analytical Model for the Effects of the Spatial Resolution of Electrode Systems on the Spectrum of Cardiac Signals.00.342017
Sensitivity of the Electrocardiography Inverse Solution to the Torso Conductivity Uncertainties00.342015
Inverse problem in electrocardography via the factorization method of boundary value problems00.342015
Inverse Problem of Electrocardiography: Estimating the Location of Cardiac Ischemia in a 3D Realistic Geometry20.382015
Accuracy of Lead Removal Versus Linear Interpolation in Noninvasive Electrocardiographic Imaging (ECGI).00.342015
A computational investigation into the effect of infarction on clinical human electrophysiology biomarkers00.342014
An iterative method for solving the inverse problem in electrocardiography imaging: From body surface to heart potential00.342014
A Machine Learning Regularization of the Inverse Problem in Cardiac Electrophysiology Imaging.00.342013
A Steklov-Poincare Approach To Solve The Inverse Problem In Electrocardiography00.342013
Chaste: An Open Source C Plus Plus Library For Computational Physiology And Biology272.802013
Simulating drug-induced effects on the heart: from ion channel to body surface electrocardiogram10.352011
Numerical Simulation of the Electromechanical Activity of the Heart50.882009
From Intracardiac Electrograms to Electrocardiograms: Models and Metamodels00.342009
Towards the numerical simulation of electrocardiograms40.822007