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Nejib Zemzemi

Showing results (11-20 of 22) with videos related to

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Journal of Pharmacological and Toxicological Methods|October 26, 2017
In silico assessment of the effects of various compounds in MEA/hiPSC-CM assays: Modeling and numerical simulationsEmanuela Abbate, Muriel Boulakia, Yves Coudière, et al.
IEEE Transactions on Bio-Medical Engineering|September 8, 2017
Identification of Ion Currents Components Generating Field Potential Recorded in MEA From hiPSC-CMFabien Raphel, Muriel Boulakia, Nejib Zemzemi, et al.
Computing in Cardiology|October 22, 2019
Effect of Segmentation Variation on ECG ImagingJess D Tate, Nejib Zemzemi, Wilson W Good, et al.
British Journal of Pharmacology|September 6, 2012
Computational assessment of drug-induced effects on the electrocardiogram: from ion channel to body surface potentialsNejib Zemzemi, Miguel O Bernabeu, Javier Saiz, et al.
Computing in Cardiology|April 28, 2022
A Cardiac Shape Model for Segmentation Uncertainty QuantificationJess D Tate, Shireen Elhabian, Nejib Zemzemi, et al.
Functional Imaging and Modeling of the Heart : ... International Workshop, FIMH ..., Proceedings. FIMH|April 22, 2022
Uncertainty Quantification of the Effects of Segmentation Variability in ECGIJess D Tate, Wilson Good, Nejib Zemzemi, et al.
Computing in Cardiology|October 6, 2023
The Effect of Segmentation Variability in Forward ECG SimulationBeata Ondrusova, Machteld Boonstra, Jana Svehlikova, et al.
Computing in Cardiology|October 3, 2023
Effect of Segmentation Uncertainty on the ECGI Inverse Problem Solution and Source LocalizationNarimane Gassa, Machteld Boonstra, Beata Ondrusova, et al.
Frontiers in Neurology|November 15, 2021
Prediction of Clinical Deep Brain Stimulation Target for Essential Tremor From 1.5 Tesla MRI Anatomical LandmarksJulien Engelhardt, Emmanuel Cuny, Dominique Guehl, et al.
Heart Rhythm|July 5, 2023
Artificial intelligence for detection of ventricular oversensing: Machine learning approaches for noise detection within nonsustained ventricular tachycardia episodes remotely transmitted by pacemakers and implantable cardioverter-defibrillatorsMarc Strik, Benjamin Sacristan, Pierre Bordachar, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Journal of Pharmacological and Toxicological Methods|October 26, 2017
In silico assessment of the effects of various compounds in MEA/hiPSC-CM assays: Modeling and numerical simulationsEmanuela Abbate, Muriel Boulakia, Yves Coudière, et al.
IEEE Transactions on Bio-Medical Engineering|September 8, 2017
Identification of Ion Currents Components Generating Field Potential Recorded in MEA From hiPSC-CMFabien Raphel, Muriel Boulakia, Nejib Zemzemi, et al.
Computing in Cardiology|October 22, 2019
Effect of Segmentation Variation on ECG ImagingJess D Tate, Nejib Zemzemi, Wilson W Good, et al.
British Journal of Pharmacology|September 6, 2012
Computational assessment of drug-induced effects on the electrocardiogram: from ion channel to body surface potentialsNejib Zemzemi, Miguel O Bernabeu, Javier Saiz, et al.
Computing in Cardiology|April 28, 2022
A Cardiac Shape Model for Segmentation Uncertainty QuantificationJess D Tate, Shireen Elhabian, Nejib Zemzemi, et al.
Functional Imaging and Modeling of the Heart : ... International Workshop, FIMH ..., Proceedings. FIMH|April 22, 2022
Uncertainty Quantification of the Effects of Segmentation Variability in ECGIJess D Tate, Wilson Good, Nejib Zemzemi, et al.
Computing in Cardiology|October 6, 2023
The Effect of Segmentation Variability in Forward ECG SimulationBeata Ondrusova, Machteld Boonstra, Jana Svehlikova, et al.
Computing in Cardiology|October 3, 2023
Effect of Segmentation Uncertainty on the ECGI Inverse Problem Solution and Source LocalizationNarimane Gassa, Machteld Boonstra, Beata Ondrusova, et al.
Frontiers in Neurology|November 15, 2021
Prediction of Clinical Deep Brain Stimulation Target for Essential Tremor From 1.5 Tesla MRI Anatomical LandmarksJulien Engelhardt, Emmanuel Cuny, Dominique Guehl, et al.
Heart Rhythm|July 5, 2023
Artificial intelligence for detection of ventricular oversensing: Machine learning approaches for noise detection within nonsustained ventricular tachycardia episodes remotely transmitted by pacemakers and implantable cardioverter-defibrillatorsMarc Strik, Benjamin Sacristan, Pierre Bordachar, et al.
Pageof 3