( en | de | ru )

 

Disambiguation of "Ng, G. André"

Author of the publication

copydeleteadd this publication to your clipboard
Diagnostic of Multiple Cardiac Disorders from 12-lead ECGs Using Graph Convolutional Network Based Multi-label Classification.

, , , , , and . CinC, page 1-4. IEEE, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

ng-g n Ch ng

André G. C. Pacheco

Ernst-Christian André

Helmut André

Achim André

 

Other publications of authors with the same name

Diagnostic of Multiple Cardiac Disorders from 12-lead ECGs Using Graph Convolutional Network Based Multi-label Classification., , , , , and . CinC, page 1-4. IEEE, (2020)Investigation on Recurrent High Dominant Frequency Spatiotemporal Patterns during Persistent Atrial Fibrillation., , , , , , , , and . CinC, page 61-64. www.cinc.org, (2015)Dynamic Behavior of Rotors during Human Persistent Atrial Fibrillation as observed using Non-Contact Mapping., , , , , , , and . CinC, www.cinc.org, (2016)Systematic differences of non-invasive dominant frequency estimation compared to invasive dominant frequency estimation in atrial fibrillation., , , , , , , , and . Comput. Biol. Medicine, (2019)A Platform to guide Catheter Ablation of Persistent Atrial Fibrillation using Dominant Frequency Mapping., , , , , , and . CinC, page 649-652. www.cinc.org, (2014)Distinctive Patterns of Dominant Frequency Trajectory Behaviour in Persistent Atrial Fibrillation: Spatio-temporal Characterisation., , , , , , and . CinC, page 657-660. www.cinc.org, (2014)Investigating the Optimal Recording Duration for Summarising Spatiotemporal Behaviours of Long Lifespan Rotors Using Phase Mapping of Non-Contact Electrograms During Persistent Atrial Fibrillation., , , , , , , and . CinC, page 1-4. IEEE, (2019)Convolutional and Recurrent Neural Networks for Early Detection of Sepsis Using Hourly Physiological Data from Patients in Intensive Care Unit., , and . CinC, page 1-4. IEEE, (2019)Compressed Deep Learning Models for Wearable Atrial Fibrillation Detection through Attention., , , , and . Sensors, 24 (15): 4787 (August 2024)Predicting Cardiac Arrest Recovery with Shallow and Deep Learning Models., , , , , , and . CinC, page 1-4. IEEE, (2023)