Alison Noble

Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 414-424). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43895-0_39

Review of federated learning and machine learning-based methods for medical image analysis. Big Data and Cognitive Computing, 8(9), 99. https://doi.org/10.3390/bdcc8090099

Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation. [Advances in Neural Information Processing Systems, 38, 61229-61254.]

Skill, or Style? Classification of Fetal Sonography Eye-Tracking Data. In Annual Conference on Neural Information Processing Systems (pp. 184-198). PMLR.

STAN-LOC: Visual Query-Based Video Clip Localization for Fetal Ultrasound Sweep Videos. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 742-752). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-72083-3_69

TIER-LOC: Visual Query-based Video Clip Localization in fetal ultrasound videos with a multi-tier transformer. Medical Image Analysis, 103611.https://doi.org/10.1016/j.media.2025.103611