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Results 101-110 of 113
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Issue DateTitleAuthor(s)
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
1-May-2019Learning-based quality control for cardiac MR imagesTarroni, G; Oktay, O; Bai, W; Schuh, A; Suzuki, H, et al
22-Sep-2016Supervoxel Classification Forests for Estimating Pairwise Image CorrespondencesKanavati, F; Tong, T; Misawa, K; Fujiwara, M; Mori, K, 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-Sep-2018Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.Bai, W; Sinclair, M; Tarroni, G; Oktay, O; Rajchl, M, et al
23-May-2017Learning-based heart coverage estimation for short-axis cine cardiac MR imagesTarroni, G; Oktay, O; Bai, W; Schuh, A; Suzuki, H, 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
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
4-Sep-2017Semi-supervised learning for network-based cardiac MR image segmentationBai, W; Oktay, O; Sinclair, M; Suzuki, H; Rajchl, M, et al
4-Sep-2017Automatic quality control of cardiac MRI segmentation in large-scale population imagingRobinson, R; Valindria, V; Bai, W; Suzuki, H; Matthews, P, et al