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Issue DateTitleAuthor(s)
15-Sep-2018Small organ segmentation in whole-body MRI using a two-stage FCN and weighting schemesValindria, V; Lavdas, I; Cerrolaza, J; Aboagye, EO; Rockall, A, et al
17-Apr-2017Reverse classification accuracy: predicting segmentation performance in the absence of ground truthValindria, V; Lavdas, I; Bai, W; Kamnitsas, K; Aboagye, E, et al
21-Jul-2016ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRIMaier, O; Menze, BH; Von der Gablentz, J; Häni, L; Heinrich, MP, 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
11-Jun-2017Learning-based heart coverage estimation for short-axis cine cardiac MR imagesTarroni, G; Oktay, O; Bai, W; Schuh, A; Suzuki, H, et al
30-Jul-2017Fully automatic, multi-organ segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs) and a multi-atlas (MA) approach.Lavdas, I; Glocker, B; Kamnitsas, K; Rueckert, D; Mair, H, 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
7-May-2018Multi-modal learning from unpaired images: Application to multi-organ segmentation in CT and MRIValindria, V; Pawlowski, N; Rajchl, M; Lavdas, I; Aboagye, EO, et al