Laura Bear

发表

Atrial electro-anatomic mapping with a novel noncontact approach

Shu Meng, Jichao Zhao, Nigel Lever, 2017, 2017 Computing in Cardiology (CinC).

Validation and Opportunities of Electrocardiographic Imaging: From Technical Achievements to Clinical Applications

Olaf Dössel, Laura Bear, Dana H. Brooks, 2018, Front. Physiol..

Effects of ECG Signal Processing on the Inverse Problem of Electrocardiography

Laura Bear, Yesim Serinagaoglu Dogrusoz, Rob S. MacLeod, 2018, 2018 Computing in Cardiology Conference (CinC).

Do we need to enforce the homogeneous Neumann condition on the torso for solving the inverse electrographic problem?

Laura Bear, Yves Coudière, Mark Potse, 2016, CinC.

Interpolating Low Amplitude ECG Signals Combined with Filtering According to International Standards Improves Inverse Reconstruction of Cardiac Electrical Activity

Dewar D. Finlay, Laura Bear, Raymond Bond, 2019, FIMH.

Comparison of Activation Times Estimation for Potential-Based ECG Imaging

Laura Bear, Matthijs Cluitmans, Jaume Coll-Font, 2019, 2019 Computing in Cardiology (CinC).

Local conduction velocity mapping for electrocardiographic imaging

Laura Bear, Yves Coudière, Mark Potse, 2015, 2015 Computing in Cardiology Conference (CinC).

Detection of incomplete left bundle branch block by non-invasive electrocardiographic imaging

Laura Bear, Richard D. Walton, Ruben Coronel, 2016, 2016 Computing in Cardiology Conference (CinC).

Impact of Signal Preprocessing on the Inverse Localization of the Origin of Ventricular Pacing

Jan Zelinka, Laura Bear, Yesim Serinagaoglu Dogrusoz, 2018, 2018 Computing in Cardiology Conference (CinC).

The Heart Recording Conditions Impact the Assessment of the Electrocardiography Imaging Inverse Solution

Laura Bear, Mostafa Bendahmane, Nejib Zemzemi, 2018, 2018 Computing in Cardiology Conference (CinC).

3D High Resolution Imaging of Human Heart for Visualization of the Cardiac Structure

Laura Bear, Mark L. Trew, Michel Haïssaguerre, 2019, FIMH.

Analysis of Signal-Averaged Electrocardiogram Performance for Body Surface Recordings

Laura Bear, Marianna Meo, Mark Potse, 2019, 2019 Computing in Cardiology (CinC).

Optimization of organ conductivity for the forward problem of electrocardiography

Laura Bear, Nejib Zemzemi, Rémi Dubois, 2016, 2016 Computing in Cardiology Conference (CinC).

Application of an inverse-forward approach to derive the 12-lead ECG from body surface potential maps

Laura Bear, Mark Potse, Rémi Dubois, 2017, 2017 Computing in Cardiology (CinC).

Accuracy of lead removal vs linear interpolation in non-invasive electrocardiographic imaging (ECGI)

Laura Bear, Yves Coudière, Mark Potse, 2015, 2015 Computing in Cardiology Conference (CinC).

A novel method for deriving the 12-lead ECG from body surface potential maps

Laura Bear, Mark Potse, Josselin Duchateau, 2017 .

Effect of the torso conductivity heterogeneities on the ECGI inverse problem solution

Laura Bear, Yves Coudière, Mark Potse, 2015, 2015 Computing in Cardiology Conference (CinC).

Non-invasive assessment of spatiotemporal organization of ventricular fibrillation through principal component analysis

Laura Bear, Mark Potse, Michel Haïssaguerre, 2017, 2017 Computing in Cardiology (CinC).

A comparison of discretization methods for the inverse problem of electrocardiography

Laura Bear, Bruce H. Smaill, Leo Cheng, 2016, 2016 Computing in Cardiology Conference (CinC).

New Mathematical approaches in Electrocardiography Imaging inverse problem

Laura Bear, Yves Coudière, Mark Potse, 2015 .

Combined signal averaging and electrocardiographic imaging method to non-invasively identify atrial and ventricular tachycardia mechanisms

Laura Bear, Michel Haïssaguerre, Marianna Meo, 2016, 2016 Computing in Cardiology Conference (CinC).

Adaptive placement of the pseudo-boundaries improves the conditioning of the inverse problem

Laura Bear, Yves Coudière, Rémi Dubois, 2016, 2016 Computing in Cardiology Conference (CinC).

Basis Function Based Data Driven Learning for the Inverse Problem of Electrocardiography pdf

Laura Bear, Avinash Malik, Mark L. Trew, 2021, ArXiv.

Impulse Data Model For Solving The Inverse Problem of Electrocardiography.

Laura Bear, Avinash Malik, Mark L. Trew, 2021, IEEE journal of biomedical and health informatics.

Do we need to enforce the homogeneous Neuman condition on the torso for solving the inverse electrocardiographic problem ?

Laura Bear, Mark Potse, Josselin Duchateau, 2016, 2016 Computing in Cardiology Conference (CinC).