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3D Fusion Echocardiography Improves Transoeosphageal LV Assessment.

, , , , , and . FIMH, volume 6666 of Lecture Notes in Computer Science, page 161-162. Springer, (2011)

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Automated Myocardial Wall Motion Classification using Handcrafted Features vs a Deep CNN-based mapping., , , , and . EMBC, page 3140-3143. IEEE, (2018)Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation., , , , , and . MICCAI (6), volume 12906 of Lecture Notes in Computer Science, page 495-505. Springer, (2021)Quantification of cardiac bull's-eye map based on principal strain analysis for myocardial wall motion assessment in stress echocardiography., , , , , and . ISBI, page 1195-1198. IEEE, (2018)Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis., , , , , , , and . MICCAI (10), volume 14229 of Lecture Notes in Computer Science, page 142-152. Springer, (2023)Improving Visual Detection of Wall Motion Abnormality with Echocardiographic Image Enhancing Methods., , , , and . EMBC, page 1128-1131. IEEE, (2018)Computational Mesh as a Descriptor of Left Ventricular Shape for Clinical Diagnosis., , , , , and . CinC, page 571-574. www.cinc.org, (2013)HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning., , , , , , , , , and . BIBM, page 1886-1889. IEEE, (2023)D'ARTAGNAN: Counterfactual Video Generation., , , , , , and . MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 599-609. Springer, (2022)3D Fusion Echocardiography Improves Transoeosphageal LV Assessment., , , , , and . FIMH, volume 6666 of Lecture Notes in Computer Science, page 161-162. Springer, (2011)Data-driven shape parameterization for segmentation of the right ventricle from 3D+t echocardiography., , , , and . Medical Image Anal., 21 (1): 29-39 (2015)