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Results 11-20 of 122
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Issue DateTitleAuthor(s)
9-Aug-2017Learning and combining image neighborhoods using random forests for neonatal brain disease classificationZimmer, VA; Glocker, B; Hahner, N; Eixarch, E; Sanroma, G, et al
29-Oct-2016Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentationKamnitsas, K; Ledig, C; Newcombe, VFJ; Simpson, JP; Kane, AD, et al
9-Dec-2016Dirichlet Process Mixture Models: Application to Brain Image SegmentationCoelho De Castro, D; Glocker, B
17-Oct-2016Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative DiseasesKonukoglu, E; Glocker, B
-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
10-Jul-2018Semi-supervised learning via compact latent space clusteringKamnitsas, K; Coelho De Castro, D; Le Folgoc, L; Walker, I; Tanno, R, et al
23-Jun-2016(Hyper)-Graphical Models in Biomedical Image AnalysisParagios, N; Ferrante, E; Glocker, B; Komodakis, N; Parisot, S, 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-2017Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context FeaturesDamopoulos, D; Glocker, B; Zheng, G