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Omni-Supervised Learning: Scaling Up to Large Unlabelled Medical Datasets.

, , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 572-580. Springer, (2018)

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Special Section: Selection of Papers From IPMI 2003., and . IEEE Trans. Med. Imaging, 23 (8): 929 (2004)Extending the quadratic taxonomy of regularizers for nonparametric registration., , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76230B. SPIE, (2010)Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment., , , , , and . MLMI@MICCAI, volume 10019 of Lecture Notes in Computer Science, page 196-204. (2016)Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging., , , and . Comput. Biol. Medicine, (2021)Improving the Contrast of Breast Cancer Masses in Ultrasound Using an Autoregressive Model Based Filter., and . MICCAI (1), volume 4791 of Lecture Notes in Computer Science, page 153-160. Springer, (2007)Eye Tracking to Boost Recognition of Anatomical Features in Fetal Ultrasound., and . MIUA, page 112-117. BMVA, (2015)Gaze-probe joint guidance with multi-task learning in obstetric ultrasound scanning., , , , and . Medical Image Anal., (December 2023)Multi-anatomy localization in fetal echocardiography videos., and . ISBI, page 1761-1764. IEEE, (2019)Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis., , , and . ISBI, page 122-125. IEEE, (2021)Self-Supervised Representation Learning for Ultrasound Video., , , , and . ISBI, page 1847-1850. IEEE, (2020)