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Results 1-10 of 91
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Issue DateTitleAuthor(s)
10-Sep-2017Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context FeaturesDamopoulos, D; Glocker, B; Zheng, G
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
10-Jan-2017SubCMap: subject and condition specific effect mapsKonukoglu, E; Glocker, B
10-Sep-2017Joint Supervoxel Classification Forest for Weakly-Supervised Organ SegmentationKanavati, F; Misawa, K; Fujiwara, M; Mori, K; Rueckert, D, 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
22-Sep-2016Supervoxel Classification Forests for Estimating Pairwise Image CorrespondencesKanavati, F; Tong, T; Misawa, K; Fujiwara, M; Mori, K, et al
25-Jun-2017Unsupervised domain adaptation in brain lesion segmentation with adversarial networksKamnitsas, K; Baumgartner, C; Ledig, C; Newcombe, VFJ; Simpson, JP, et al
-Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion SegmentationKamnitsas, K; Ledig, C; Newcombe, VFJ; Simpson, JP; Kane, AD, et al
5-Oct-2015Uncertainty-driven Forest Predictors for Vertebra Localization and SegmentationRichmond, D; Kainmueller, D; Glocker, B; Rother, C; Myers, G