Manifold learning for automatically predicting articular cartilage morphology in the knee with data from the osteoarthritis initiative (OAI). - Claire R. Donoghue; Anil Rao; Anthony M. J. Bull; Daniel Rueckert (Image Processing, 2011)

Fast and accurate global geodesic registrations using knee MRI from the Osteoarthritis Initiative. - Claire R. Donoghue; Anil Rao; Luis Pizarro; Anthony M. J. Bull; Daniel Rueckert (CVPR Workshops, 2012)

Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative. - Ricardo Guerrero; Claire R. Donoghue; Luis Pizarro; Daniel Rueckert (MLMI, 2012)

Robust Global Registration through Geodesic Paths on an Empirical Manifold with Knee MRI from the Osteoarthritis Initiative (OAI). - Claire R. Donoghue; Anil Rao; Anthony M. J. Bull; Daniel Rueckert (WBIR, 2012)

Patch-Based Segmentation without Registration: Application to Knee MRI. - Zehan Wang; Claire R. Donoghue; Daniel Rueckert (MLMI, 2013)

Analysis of MRI for knee osteoarthritis using machine learning. - Claire R. Donoghue (2013)

Learning osteoarthritis imaging biomarkers using Laplacian eigenmap embeddings with data from the OAI. - Claire R. Donoghue; Anil Rao; Anthony M. J. Bull; Daniel Rueckert (ISBI, 2014)