Site: Old Road Campus
Research Building: Old Road Campus Research Building
Dr. Yingyu Yang is a Postdoctoral Researcher at the Institute of Biomedical Engineering, University of Oxford, working with Prof. Alison Noble. As part of the COCHE project, her research focuses on explainable and representation-learning approaches for fetal echocardiography, with applications to cardiac video understanding and congenital heart disease detection.
She received her DPhil from Université Côte d’Azur and conducted her doctoral research in the Epione team at Inria Sophia Antipolis under the supervision of Dr. Maxime Sermesant. Her PhD research focused on AI methods for adult cardiac imaging and physiological signal analysis, particularly echocardiography and ECG.
Her broader research interests include self-supervised learning, multimodal learning, and interpretable AI for understanding cardiac anatomy, motion, and function, with the goal of developing clinically meaningful methods for cardiovascular imaging.
Self-supervised learning, Multimodal representation learning, Cardiac Imaging, Explainable AI
Noble group
Yang, Yingyu, et al. “Orientation-robust latent motion trajectory learning for annotation-free cardiac phase detection in fetal echocardiography.” Medical Image Analysis (2026): 104288.
Yang, Yingyu, et al. “Latent motion profiling for annotation-free cardiac phase detection in adult and fetal echocardiography videos.” International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer Nature Switzerland, 2025.
Yang, Yingyu, et al. “Echocardiography analysis with deep learning using priors: Multi-centric evaluation of generalisation.” Machine Learning for Biomedical Imaging 2.November 2024 issue (2024): 2293-2325.
Yang, Yingyu, and Maxime Sermesant. “Unsupervised polyaffine transformation learning for echocardiography motion estimation.” International Conference on Functional Imaging and Modeling of the Heart. Cham: Springer Nature Switzerland, 2023.
Yang, Yingyu, et al. “Explainable electrocardiogram analysis with wave decomposition: Application to myocardial infarction detection.” International Workshop on Statistical Atlases and Computational Models of the Heart. Cham: Springer Nature Switzerland, 2022.
Professor Alison Noble - Academic