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Multi-anatomy localization in fetal echocardiography videos.

, and . ISBI, page 1761-1764. IEEE, (2019)

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A hybrid framework with large language models for rare disease phenotyping, , , , , , , , , and . BMC Medical Informatics and Decision Making, 24 (1): 289 (Oct 8, 2024)Contrastive Algorithmic Fairness: Part 1 (Theory), , and . CoRR, (2019)Hierarchical Class Incremental Learning of Anatomical Structures in Fetal Echocardiography Videos., and . IEEE J. Biomed. Health Informatics, 24 (4): 1046-1058 (2020)Improving Generative Modelling in VAEs Using Multimodal Prior., , and . IEEE Trans. Multim., (2021)Real Time Data Augmentation Using Fractional Linear Transformations in Continual Learning.. MILLanD@MICCAI, volume 13559 of Lecture Notes in Computer Science, page 130-140. Springer, (2022)Improving Visual Detection of Wall Motion Abnormality with Echocardiographic Image Enhancing Methods., , , , and . EMBC, page 1128-1131. IEEE, (2018)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)Sequential anatomy localization in fetal echocardiography videos.. CoRR, (2018)Automated Myocardial Wall Motion Classification using Handcrafted Features vs a Deep CNN-based mapping., , , , and . EMBC, page 3140-3143. IEEE, (2018)Incremental Learning of Fetal Heart Anatomies Using Interpretable Saliency Maps., and . MIUA, volume 1065 of Communications in Computer and Information Science, page 129-141. Springer, (2019)