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Article

Fontalis, Andreas and Zhao, Baixiang and Mancino, Fabio and Putzeys, Pierre and Vanspauwen, Thomas and Glod, Fabrice and Plastow, Ricci and Mazomenos, Evangelos and Haddad, Fares (2024) Is it feasible to develop a supervised learning algorithm incorporating spinopelvic mobility to predict impingement in patients undergoing total hip arthroplasty? : A proof-of-concept study. Bone & Joint Open, 5 (8). 671 - 680.

Book Section

Zhao, Baixiang and Soraghan, John and Grose, Derek and Doshi, Trushali and Di-Caterina, Gaetano; Tabus, I. and Larabi, C. and Battisti, F. and Egiazarian, K. and Oudre, L. and Beghdadi, A., eds. (2019) Automatic 3D detection and segmentation of head and neck cancer from MRI data. In: Proceedings of the 2018 7th European Workshop on Visual Information Processing, EUVIP 2018. IEEE, FIN. ISBN 9781538668979

Zhao, Baixiang and Soraghan, John and Di Caterina, Gaetano and Petropoulakis, Lykourgos and Grose, Derek and Doshi, Trushali; (2018) Automatic 3D segmentation of MRI data for detection of head and neck cancerous lymph nodes. In: 2018 Signal Processing. IEEE, POL, pp. 298-303. ISBN 9788362065332

Conference or Workshop Item

Zhao, Baixiang and Soraghan, John and Di Caterina, Gaetano and Grose, Derek (2019) Segmentation of head and neck tumours using modified U-net. In: 27th European Signal Processing Conference, 2019-09-02 - 2019-09-06.