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ORCIDClaire R. Donoghue
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2010 – 2019
- 2014
[c6]Claire R. Donoghue, Anil Rao, Anthony M. J. Bull
, Daniel Rueckert:
Learning osteoarthritis imaging biomarkers using Laplacian eigenmap embeddings with data from the OAI. ISBI 2014: 1011-1014- 2013
- [b1]Claire R. Donoghue:
Analysis of MRI for knee osteoarthritis using machine learning. Imperial College London, UK, 2013 - [c5]Zehan Wang, Claire R. Donoghue, Daniel Rueckert:
Patch-Based Segmentation without Registration: Application to Knee MRI. MLMI 2013: 98-105 - 2012
- [c4]Claire R. Donoghue, Anil Rao, Luis Pizarro, Anthony M. J. Bull, Daniel Rueckert:
Fast and accurate global geodesic registrations using knee MRI from the Osteoarthritis Initiative. CVPR Workshops 2012: 50-57 - [c3]Ricardo Guerrero, Claire R. Donoghue, Luis Pizarro, Daniel Rueckert:
Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative. MLMI 2012: 218-225 - [c2]Claire R. Donoghue, Anil Rao, Anthony M. J. Bull, Daniel Rueckert:
Robust Global Registration through Geodesic Paths on an Empirical Manifold with Knee MRI from the Osteoarthritis Initiative (OAI). WBIR 2012: 1-10 - 2011
- [c1]Claire R. Donoghue, Anil Rao, Anthony M. J. Bull, Daniel Rueckert:
Manifold learning for automatically predicting articular cartilage morphology in the knee with data from the osteoarthritis initiative (OAI). Medical Imaging: Image Processing 2011: 79620E
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