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Unsupervised Machine Learning Exploration of Morphological and Haemodynamic Indices to Predict Thrombus Formation in the Left Atrial Appendage.

, , , , , , , , , and . STACOM@MICCAI, volume 13593 of Lecture Notes in Computer Science, page 200-210. Springer, (2022)

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Phase-Independent Latent Representation for Cardiac Shape Analysis., , , , , and . MICCAI (6), volume 12906 of Lecture Notes in Computer Science, page 537-546. Springer, (2021)In-Silico Analysis of the Influence of Pulmonary Vein Configuration on Left Atrial Haemodynamics and Thrombus Formation in a Large Cohort., , , , , , , , , and . FIMH, volume 12738 of Lecture Notes in Computer Science, page 605-616. Springer, (2021)Unsupervised Machine Learning Exploration of Morphological and Haemodynamic Indices to Predict Thrombus Formation in the Left Atrial Appendage., , , , , , , , , and . STACOM@MICCAI, volume 13593 of Lecture Notes in Computer Science, page 200-210. Springer, (2022)In-silico Analysis of Device-Related Thrombosis for Different Left Atrial Appendage Occluder Settings., , , , , , , and . STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 160-168. Springer, (2021)Impact of Blood Rheological Strategies on the Optimization of Patient-Specific LAAO Configurations for Thrombus Assessment., , , , , and . FIMH, volume 13958 of Lecture Notes in Computer Science, page 485-494. Springer, (2023)