EP-Net: learning cardiac electrophysiology models for physiology-based constraints in data-driven predictions

I Ayed, N Cedilnik, P Gallinari, M Sermesant - Functional Imaging and …, 2019 - Springer
Cardiac electrophysiology (EP) models achieved good pro gress in simulating cardiac
electrical activity. However numerical issues and computational times hamper clinical …
被引用次数：16 相关文章

EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions

I Ayed, N Cedilnik, P Gallinari - Springer
Cardiac electrophysiology (EP) models achieved good progress in simulating cardiac
electrical activity. However numerical issues and computational times hamper clinical …

EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions

I Ayed, N Cedilnik, P Gallinari… - Functional Imaging and …, 2019 - books.google.com
Cardiac electrophysiology (EP) models achieved good progress in simulating cardiac
electrical activity. However numerical issues and computational times hamper clinical …

EP-Net: Learning Cardiac Electrophysiology Models for Physiology-based Constraints in Data-Driven Predictions

I Ayed, N Cedilnik, P Gallinari… - FIMH 2019-10th …, 2019 - hal.science
Cardiac electrophysiology (EP) models achieved good progress in simulating cardiac
electrical activity. However numerical issues and computational times hamper clinical …

EP-Net: Learning Cardiac Electrophysiology Models for Physiology-based Constraints in Data-Driven Predictions

I Ayed, N Cedilnik, P Gallinari… - FIMH 2019-10th …, 2019 - inria.hal.science
Cardiac electrophysiology (EP) models achieved good progress in simulating cardiac
electrical activity. However numerical issues and computational times hamper clinical …