Found: 4
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Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate.
- Published in:
- eLife, 2021, p. 1, doi. 10.7554/eLife.64213
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- Publication type:
- Article
Machine learning identifies esophageal luminal temperature patterns associated with thermal injury in catheter ablation for atrial fibrillation.
- Published in:
- Journal of Cardiovascular Electrophysiology, 2024, v. 35, n. 4, p. 737, doi. 10.1111/jce.16213
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- Publication type:
- Article
Elevated fibrosis burden as assessed by MRI predicts cryoballoon ablation failure.
- Published in:
- Journal of Cardiovascular Electrophysiology, 2023, v. 34, n. 2, p. 302, doi. 10.1111/jce.15791
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- Publication type:
- Article
Cryoballoon temperature parameters during cryoballoon ablation predict pulmonary vein reconnection and atrial fibrillation recurrence.
- Published in:
- Journal of Interventional Cardiac Electrophysiology, 2023, v. 66, n. 6, p. 1367, doi. 10.1007/s10840-022-01429-0
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- Article