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

B. Hunt, E. Kwan, M. McMillan, D. Dosdall, R. MacLeod, and R. Ranjan. CinC, page 1-3. IEEE, (2020)

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Ching-Kwan Kwan

Yeong-Sook Kwan

Paul Barteld Kwant

Li-Hong Kwan

Yen Yen Kwan

Other publications of authors with the same name

Effects of Biventricular Pacing Locations on Anti-Tachycardia Pacing Success in a Patient-Specific Model.E. Paccione, M. Lange, B. Orkild, J. Bergquist, E. Kwan, B. Hunt, D. Dosdall, R. MacLeod, and R. Ranjan. CinC, page 1-4. IEEE, (2023)A Grid Search of Fibrosis Thresholds for Uncertainty Quantification in Atrial Flutter Simulations.B. Orkild, J. Bergquist, E. Paccione, M. Lange, E. Kwan, B. Hunt, R. MacLeod, A. Narayan, and R. Ranjan. CinC, page 1-4. IEEE, (2023)Siamese Neural Networks for Small Dataset Classification of Electrograms.B. Hunt, E. Kwan, D. Dosdall, R. MacLeod, and R. Ranjan. CinC, page 1-4. IEEE, (2021)Unipolar R:S Development in Chronic Atrial Fibrillation.E. Paccione, B. Hunt, E. Kwan, D. Dosdall, R. MacLeod, and R. Ranjan. CinC, page 1-4. IEEE, (2022)Transfer Learning for Improved Classification of Drivers in Atrial Fibrillation.B. Hunt, E. Kwan, T. Tasdizen, J. Bergquist, M. Lange, B. Orkild, R. MacLeod, D. Dosdall, and R. Ranjan. CinC, page 1-4. IEEE, (2023)Deep Learning Based Prediction of Atrial Fibrillation Disease Progression with Endocardial Electrograms in a Canine Model.B. Hunt, E. Kwan, M. McMillan, D. Dosdall, R. MacLeod, and R. Ranjan. CinC, page 1-3. IEEE, (2020)Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images.K. Sultan, B. Orkild, A. Morris, E. Kholmovski, E. Bieging, E. Kwan, R. Ranjan, E. Bella, and S. Elhabian. STACOM@MICCAI, volume 14507 of Lecture Notes in Computer Science, page 230-239. Springer, (2023)Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images.K. Sultan, B. Orkild, A. Morris, E. Kholmovski, E. Bieging, E. Kwan, R. Ranjan, E. DiBella, and S. Elhabian. CoRR, (2023)Uncertainty Quantification of the Effect of Variable Conductivity in Ventricular Fibrotic Regions on Ventricular Tachycardia.J. Bergquist, M. Lange, B. Zenger, B. Orkild, E. Paccione, E. Kwan, B. Hunt, J. Dong, R. MacLeod, A. Narayan and 1 other author(s). CinC, page 1-4. IEEE, (2023)Computer Simulations Outcomes of Left Atrial Arrhythmia Induction are Highly Sensitive to Scar and Fibrosis Determination.M. Lange, E. Kwan, R. MacLeod, and R. Ranjan. CinC, page 1-3. IEEE, (2021)

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Disambiguation of "Kwan, Eugene"

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

Please choose a person to relate this publication to

Ching-Kwan Kwan

Yeong-Sook Kwan

Paul Barteld Kwant

Li-Hong Kwan

Yen Yen Kwan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kwan, Eugene"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Learning Based Prediction of Atrial Fibrillation Disease Progression with Endocardial Electrograms in a Canine Model.

Please choose a person to relate this publication to

Ching-Kwan Kwan

Yeong-Sook Kwan

Paul Barteld Kwant

Li-Hong Kwan

Yen Yen Kwan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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