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Conference

Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning

Subjects: Domain Adaptation Reinforcement Learning Self-supervised Echocardiography Segmentation; Domain Adaptation; Reinforcement LearningMarrakesh; Morocco

  • Source: LNCS ; International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) ; https://hal.science/hal-04650344 ; International Conference on Medical Image Computing and

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Conference

Which anatomical directions to quantify local right ventricular strain in 3D echocardiography?

Subjects: Cardiac imaging; right ventricle; 3D echocardiographyLyon; France

  • Source: 12th International Conference on Functional Imaging and Modeling of the Hearthttps://hal.science/hal-0409672412th International Conference on Functional Imaging and Modeling of the Heart,

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Conference

Localizing cardiac dyssynchrony in M-mode echocardiography with attention maps

Subjects: Localization; M-mode echocardiography; heart failureLyon; France

  • Source: 12th International Conference on Functional Imaging and Modeling of the Hearthttps://hal.science/hal-0409672612th International Conference on Functional Imaging and Modeling of the Heart,

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Academic Journal

Phase Unwrapping of Color Doppler Echocardiography using Deep Learning

Subjects: Color Doppler; Flow imaging; Echocardiography

  • Source: ISSN: 0885-3010 ; IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control ; https://hal.science/hal-04142824 ; IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control,

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Academic Journal

Motion estimation by deep learning in 2D echocardiography: synthetic dataset and validation

Subjects: Deep learning; Echocardiography; Motion Estimation

  • Source: ISSN: 0278-0062 ; IEEE Transactions on Medical Imaging ; https://hal.science/hal-03603014 ; IEEE Transactions on Medical Imaging, 2022, 41 (8), pp.1911-1924. ⟨10.1109/TMI.2022.3151606⟩.

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Conference

RU-Net: A refining segmentation network for 2D echocardiography

Subjects: 2D Echocardiography; Multi-class segmentation; Deep learningGlasgow; France

  • Source: 2019 IEEE International Ultrasonics Symposium (IUS)https://hal.science/hal-025700172019 IEEE International Ultrasonics Symposium (IUS), Oct 2019, Glasgow, France. pp.1160-1163,

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Conference

Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use?

Subjects: Ultrasound; cardiac segmentation; temporal segmentationLyon; France

  • Source: Functional Imaging and Modeling of the Heart ; https://hal.science/hal-04087268 ; Functional Imaging and Modeling of the Heart, Jun 2023, Lyon, France

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Conference

Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use?

Subjects: Ultrasound; cardiac segmentation; temporal segmentationLyon; France

  • Source: Functional Imaging and Modeling of the Heart ; https://hal.science/hal-04087268 ; Functional Imaging and Modeling of the Heart, Jun 2023, Lyon, France

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