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Issue DateTitleAuthor(s)
1-Jan-2018Ensembles of Multiple Models and Architectures for Robust Brain Tumour SegmentationKamnitsas, K; Bai, W; Ferrante, E; McDonagh, SG; Sinclair, M, et al
1-Jul-2018Multi-atlas segmentation using partially annotated data: methods and annotation strategiesKoch, LM; Rajchl, M; Bai, W; Baumgartner, CF; Tong, T, et al
1-May-2017Machine learning of three-dimensional right ventricular motion enables outcome prediction in pulmonary hypertension: a cardiac MR imaging studyDawes, T; Simoes monteiro de marvao, A; Shi, W; Fletcher, T; Watson, G, et al
14-Mar-2019Automated quality control in image segmentation: application to the UK Biobank cardiac MR imaging studyRobinson, R; Valindria, VV; Bai, W; Oktay, O; Kainz, B, et al
10-Sep-2017Semi-supervised learning for network-based cardiac MR image segmentationBai, W; Oktay, O; Sinclair, M; Suzuki, H; Rajchl, M, et al
10-Sep-2017Automatic quality control of cardiac MRI segmentation in large-scale population imagingRobinson, R; Valindria, V; Bai, W; Suzuki, H; Matthews, P, et al
13-Sep-2016Stratified decision forests for accurate anatomical landmark localization in cardiac imagesOktay, O; Bai, W; Guerrero, R; Rajchl, M; De Marvao, A, et al
11-Feb-2019Deep learning cardiac motion analysis for human survival predictionBello, G; Dawes, T; Duan, J; Biffi, C; Simoes Monteiro de Marvao, A, et al
16-Sep-2018Recurrent neural networks for aortic image sequence segmentation with sparse annotationsBai, W; Suzuki, H; Qin, C; Tarroni, G; Oktay, O, et al