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Benjamin Orkild

Showing results (1-10 of 6) with videos related to

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Computing in Cardiology|February 26, 2024
Transfer Learning for Improved Classification of Drivers in Atrial FibrillationBram Hunt, Eugene Kwan, Tolga Tasdizen, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|October 17, 2024
Are drivers recurring or ephemeral? observations from serial mapping of persistent atrial fibrillationBram Hunt, Eugene Kwan, Eric Paccione, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 31, 2025
HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality AssessmentK M Arefeen Sultan, Md Hasibul Husain Hisham, Benjamin Orkild, et al.
Journal of Interventional Cardiac Electrophysiology : an International Journal of Arrhythmias and Pacing|December 21, 2024
Image quality assessment and automation in late gadolinium-enhanced MRI of the left atrium in atrial fibrillation patientsBenjamin Orkild, K M Arefeen Sultan, Eugene Kholmovski, et al.
Heart Rhythm O2|May 5, 2025
Contrastive pretraining improves deep learning classification of endocardial electrograms in a preclinical modelBram Hunt, Eugene Kwan, Jake Bergquist, et al.
Computing in Cardiology|February 5, 2026
Comparison of LGE MRI Scar Identification Methods for Atrial Computational ModelingJake A Bergquist, Benjamin Orkild, Eugene Kwan, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Computing in Cardiology|February 26, 2024
Transfer Learning for Improved Classification of Drivers in Atrial FibrillationBram Hunt, Eugene Kwan, Tolga Tasdizen, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|October 17, 2024
Are drivers recurring or ephemeral? observations from serial mapping of persistent atrial fibrillationBram Hunt, Eugene Kwan, Eric Paccione, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 31, 2025
HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality AssessmentK M Arefeen Sultan, Md Hasibul Husain Hisham, Benjamin Orkild, et al.
Journal of Interventional Cardiac Electrophysiology : an International Journal of Arrhythmias and Pacing|December 21, 2024
Image quality assessment and automation in late gadolinium-enhanced MRI of the left atrium in atrial fibrillation patientsBenjamin Orkild, K M Arefeen Sultan, Eugene Kholmovski, et al.
Heart Rhythm O2|May 5, 2025
Contrastive pretraining improves deep learning classification of endocardial electrograms in a preclinical modelBram Hunt, Eugene Kwan, Jake Bergquist, et al.
Computing in Cardiology|February 5, 2026
Comparison of LGE MRI Scar Identification Methods for Atrial Computational ModelingJake A Bergquist, Benjamin Orkild, Eugene Kwan, et al.
Pageof 1