Eugene Kwan

According to our database, Eugene Kwan authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images.

K. M. Arefeen Sultan, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward V. R. Di Bella, Shireen Y. Elhabian

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Effects of Biventricular Pacing Locations on Anti-Tachycardia Pacing Success in a Patient-Specific Model.

Eric Paccione, Matthias Lange, Benjamin A. Orkild, Jake A. Bergquist, Eugene Kwan, Bram Hunt, Derek J. Dosdall, Robert S. MacLeod, Ravi Ranjan

Proceedings of the Computing in Cardiology, 2023

A Grid Search of Fibrosis Thresholds for Uncertainty Quantification in Atrial Flutter Simulations.

Benjamin A. Orkild, Jake A. Bergquist, Eric Paccione, Matthias Lange, Eugene Kwan, Bram Hunt, Rob S. MacLeod, Akil Narayan, Ravi Ranjan

Proceedings of the Computing in Cardiology, 2023

Transfer Learning for Improved Classification of Drivers in Atrial Fibrillation.

Bram Hunt, Eugene Kwan, Tolga Tasdizen, Jake Bergquist, Matthias Lange, Benjamin A. Orkild, Robert S. MacLeod, Derek J. Dosdall, Ravi Ranjan

Proceedings of the Computing in Cardiology, 2023

Uncertainty Quantification of the Effect of Variable Conductivity in Ventricular Fibrotic Regions on Ventricular Tachycardia.

Jake A. Bergquist, Matthias Lange, Brian Zenger, Benjamin A. Orkild, Eric Paccione, Eugene Kwan, Bram Hunt, Jiawei Dong, Rob S. MacLeod, Akil Narayan, Ravi Ranjan

Proceedings of the Computing in Cardiology, 2023

2022

Unipolar R:S Development in Chronic Atrial Fibrillation.

Eric Paccione, Bram Hunt, Eugene Kwan, Derek J. Dosdall, Rob S. MacLeod, Ravi Ranjan

Proceedings of the Computing in Cardiology, 2022

2021

Computer Simulations Outcomes of Left Atrial Arrhythmia Induction are Highly Sensitive to Scar and Fibrosis Determination.

Matthias Lange, Eugene Kwan, Rob S. MacLeod, Ravi Ranjan

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Siamese Neural Networks for Small Dataset Classification of Electrograms.

Bram Hunt, Eugene Kwan, Derek J. Dosdall, Rob S. MacLeod, Ravi Ranjan

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Deep Learning Based Prediction of Atrial Fibrillation Disease Progression with Endocardial Electrograms in a Canine Model.

Bram Hunt, Eugene Kwan, Mark McMillan, Derek J. Dosdall, Rob S. MacLeod, Ravi Ranjan

Proceedings of the Computing in Cardiology, 2020