E-LIB Suche - Ergebnisse für: Raphel, Fabien

1

A method to enrich experimental datasets by means of numeri..:

Lombardi, Damiano ; Raphel, Fabien
ESAIM: Mathematical Modelling and Numerical Analysis. 55 (2021) 5 - p. 2259-2291 , 2021

Link: https://doi.org/10.1051/..

2

Combining field potential data and in silico simulated data..:

Raphel, Fabien ; de Korte, Tessa ; Lombardi, Damiano...
Journal of Pharmacological and Toxicological Methods. 105 (2020) - p. 106792 , 2020

Link: https://doi.org/10.1016/..

3

In Silico Characterization of Repolarization Duration and V..:

, In: 2020 Computing in Cardiology,

Sampedro-Puente, David A ; Raphel, Fabien ; Fernandez-Bes, Jesus... - p. 1-4 , 2020

Link: https://doi.org/10.22489..

4

A greedy classifier optimization strategy to assess ion cha..:

Raphel, Fabien ; De Korte, Tessa ; Lombardi, Damiano...
PLOS Computational Biology. 16 (2020) 9 - p. e1008203 , 2020

Link: https://doi.org/10.1371/..

5

Composite Biomarkers Derived from Micro-Electrode Array Mea..:

Tixier, Eliott ; Raphel, Fabien ; Lombardi, Damiano.
Frontiers in Physiology. 8 (2018) - p. , 2018

Link: https://doi.org/10.3389/..

6

Automatic ionic profiling on iPSC-CM from MEA signals using..:

Tixier, Eliott ; Raphel, Fabien ; Lombardi, Damiano..
Journal of Pharmacological and Toxicological Methods. 93 (2018) - p. 148 , 2018

Link: https://doi.org/10.1016/..

7

From Field Potential Waves to Ionic Current Knowledge by Le..:

Raphel, Fabien ; Boulakia, Muriel ; Zemzemi, Nejib..
Journal of Pharmacological and Toxicological Methods. 88 (2017) - p. 197 , 2017

Link: https://doi.org/10.1016/..

8

Toward transmembrane potential estimation from in vitro mul..:

Boulakia, Muriel ; Raphel, Fabien ; Gerbeau, Jean-Frédéric.
Journal of Pharmacological and Toxicological Methods. 75 (2015) - p. 168-169 , 2015

Link: https://doi.org/10.1016/..

9

Mathematical modelling and learning of biomedical signals f..:

Raphel, Fabien
tel-03696044. , 2022

Link: https://hal.inria.fr/tel..

10

Mathematical modelling and learning of biomedical signals f..:

Raphel, Fabien
NNT: 2022SORUS116. , 2022

Link: https://theses.hal.scien..

11

Mathematical modelling and learning of biomedical signals f..:

Raphel, Fabien
NNT: 2022SORUS116. , 2022

Link: https://tel.archives-ouv..

12

Mathematical modelling and learning of biomedical signals f..:

Raphel, Fabien
NNT: 2022SORUS116. , 2022

Link: https://theses.hal.scien..

13

Mathematical modelling and learning of biomedical signals f..:

Raphel, Fabien
http://www.theses.fr/2022SORUS116/document. , 2022

Link: http://www.theses.fr/202..

14

Mathematical modelling and learning of biomedical signals f..:

Raphel, Fabien
NNT: 2022SORUS116. , 2022

Link: https://theses.hal.scien..

15

A method to enrich experimental datasets by means of numeri..:

Lombardi, Damiano ; Raphel, Fabien
hal-03355046. , 2021

Link: https://hal.inria.fr/hal..